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RavenDB

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uuid0006fw1

Namestring
RavenDB
Legal namestring
RavenDB Limited
Websiteurl
ravendb.net
Company typeenum
Private
Founded yearint
2009
Descriptiontext

RavenDB is a privately-held NoSQL document database company founded around 2009 by Oren Eini and operated as RavenDB Limited, registered in Ireland (originally developed by Hibernating Rhinos Ltd). The product is a schema-less document database with ACID transaction support, distinguished by a self-optimizing engine that automatically creates and manages indexes based on query patterns, a SQL-like query language (RQL), and the proprietary Corax search engine for vector and full-text search. It is offered in three deployment variants — RavenDB Cloud (fully managed across AWS, Azure, and GCP in 70+ data centers with 99.99% uptime SLA), RavenDB On-Prem (perpetual license for data center and air-gapped environments), and RavenDB Edge (offline-first database for resource-constrained hardware such as Raspberry Pi) — all sharing the same Management Studio GUI and feature set.

The platform embeds native AI capabilities including GenAI Integration for LLM-driven workflows, AI Vector Search for semantic similarity, the AI Agent Creator for autonomous agents, and (as of April 2025) an in-Studio AI Assistant. It is SOC 2 Type II, SOC 3, ISO/IEC 27001:2022, HIPAA, and GDPR compliant, with X.509 certificate authentication and TLS 1.3. The customer base exceeds 12,000 organizations globally and includes Toyota, Verizon, Rakuten Kobo, JetBrains, Capgemini, Desoutter Tools, DPG Media, and RecruitNow across verticals such as automotive, telecom, media, manufacturing, healthcare, and IoT.

RavenDB monetizes through a hybrid model: a freemium cloud tier and free on-prem downloads for developers, tiered cloud subscriptions (from 1-core/0.5 GB RAM to 64-core/256 GB NVMe instances) with usage-based cost explorer, perpetual on-prem licenses with optional annual support renewals, separate OEM licensing for embedded use, and AI feature add-ons. Go-to-market combines product-led growth (free tiers, self-service cloud), community-led adoption (Discord, GitHub, Bootcamp courses, paid workshops), and enterprise field sales (POC programs, custom deployments). Distribution runs through direct sales, hyperscaler marketplaces, and partner integrations with Kafka, RabbitMQ, Snowflake, Power BI, Grafana, and Elasticsearch, with official SDKs for .NET, Node.js, Java, Python, Go, PHP, and C++.

Short descriptiontext

RavenDB is a privately-held NoSQL document database company offering self-optimizing Cloud, On-Prem, and Edge deployments with native AI capabilities (vector search, GenAI, AI agents) to 12,000+ customers across enterprise and SMB segments globally.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersCaesarea, Israel
HQ citystring
Caesarea
HQ countrystring
Israel
HQ regionstring
Middle East
Markets served

Serves global market

Keyword5 values
NoSQL document database, managed cloud database, on-premises database software, edge IoT database, AI vector search database
Industry4 codes
1NoSQL Database Management Systems
CodeHDAEAAABPrimaryYes
2Database-as-a-Service (DBaaS) Platforms
CodeHDAEAAANPrimaryNo
3Managed Databases (Relational/NoSQL/In-Memory DBaaS)
CodeHDABAAAEPrimaryNo
4Multi-Cloud & Hybrid Cloud Enablement
CodeBPAEACAKPrimaryNo
NAICS code2 codes
  • Software Publishers513210
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
SIC code1 code
  • Services-Prepackaged Software7372
Product category
NoSQL Document Database
GTM motion4 records

Each record includes

Type, Description, Source

Revenue model5 records
1RavenDB Cloud Subscription
TypeSubscription Recurring
Description

Fully managed cloud database service with subscription-based pricing. Includes maintenance, backups, failover, 24/7 support, and automatic scaling. Available in various instance sizes from small (1 core, 0.5 GB RAM) to large (64 cores, 256 GB RAM with NVMe).

ravendb.net
2RavenDB On-Prem License
TypeOne Time License
Description

One-time perpetual license or annual subscription for on-premises deployment with complete control over database environment. Includes commercial license EULA and 24/7 support from the same developers who built the database.

ravendb.net
3Support Packages
TypeSubscription Recurring
Description

Various support tiers available including 24/7 support from RavenDB developers. Separate support policies for On-Prem and Cloud deployments.

ravendb.net
4AI Features Add-ons
TypeSubscription Recurring
Description

Additional capabilities including embeddings generation, GenAI integration, and AI agents available as add-ons in RavenDB Cloud.

ravendb.net
5OEM License
TypeLicensing Royalties
Description

Separate OEM license terms available for embedding RavenDB in other products or solutions.

ravendb.net
Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels6 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Infrastructure, Technology or R&D, Marketing or Sales, Operations
Pricing details4 tiers
1Free tier for evaluation and development
ModelFreemiumBilling cadenceMonthly
Notes

Free cloud instance and free on-prem download for development and testing purposes. Developer licenses available.

ravendb.net
2RavenDB Cloud subscription tiers
ModelSubscriptionBilling cadenceMonthly
Notes

Various instance sizes from minimal (1 core, 0.5 GB RAM) to enterprise-grade (64 cores, 256 GB RAM with NVMe). Automatic scaling included. Transparent pricing with cost explorer.

ravendb.net
3On-Prem perpetual license
ModelOne time/ perpetual licenseBilling cadenceMulti-year contract
Notes

One-time perpetual license with optional annual support renewal. Commercial License EULA governs usage.

ravendb.net
4Enterprise support packages
ModelSubscriptionBilling cadenceAnnual
Notes

24/7 support from RavenDB developers available. Separate support policies for On-Prem and Cloud deployments.

ravendb.net
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

RavenDB develops and sells a self-optimizing NoSQL document database with ACID transactions, delivered as a managed cloud service (RavenDB Cloud), an on-premises perpetual license (RavenDB On-Prem), and an offline-first edge database (RavenDB Edge). The product includes a SQL-like query language (RQL), auto-indexing, master-master replication, and built-in AI capabilities (vector search, GenAI integration, AI Agent Creator). Customers buy subscriptions for the cloud, perpetual licenses for on-prem, and add-ons for AI features.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • 800% performance increase for complex queries (DPG Media case study)
+7 more records
Product overview1 text field

RavenDB is a self-optimizing NoSQL document database. The product suite comprises three deployment variants: RavenDB Cloud (fully managed cloud service), RavenDB On-Prem (private network/data center deployment), and RavenDB Edge (IoT and offline-first scenarios). All variants share the same core features, Management Studio GUI, and AI capabilities. AI functionality includes GenAI Integration for LLM-driven workflows, AI Vector Search for semantic similarity, and AI Agents for autonomous database interactions. RavenDB is SOC 2, ISO 27001, HIPAA, and GDPR compliant.

Product and service1 record
1RavenDB Cloud
Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership17 partners
Strategic tierCoreTypeTechnology or Integration
Description

Docker container support for RavenDB deployment. RavenDB provides official Docker images for easy containerization and deployment of the database across Docker-based infrastructure.

Strategic tierCoreTypeTechnology or Integration
Description

Kubernetes orchestration support for RavenDB clustering and deployment. Enables automated deployment, scaling, and management of containerized RavenDB applications.

Strategic tierCoreTypeTechnology or Integration
Description

RavenDB Cloud available on AWS infrastructure with deployment across multiple AWS regions. Supports AWS SQS for queue integration and AWS S3 for remote attachments storage.

Strategic tierCoreTypeTechnology or Integration
Description

RavenDB Cloud available on Azure infrastructure with deployment across multiple Azure regions. Supports Azure Queue Storage for ETL integration.

Strategic tierCoreTypeTechnology or Integration
Description

RavenDB Cloud available on GCP infrastructure with deployment across multiple GCP regions.

6.NET SDK
Strategic tierCoreTypeTechnology or Integration
Description

First-class C#/.NET SDK support with idiomatic .NET API. Native integration with .NET ecosystem for seamless development experience.

ravendb.net
Strategic tierCoreTypeTechnology or Integration
Description

Official Node.js/JavaScript client library for RavenDB with full API coverage.

Strategic tierCoreTypeTechnology or Integration
Description

Official Java client library for RavenDB with full API coverage for Java-based applications.

Strategic tierCoreTypeTechnology or Integration
Description

Official Python client library for RavenDB enabling Python developers to integrate RavenDB into their applications.

10Go SDK
Strategic tierCoreTypeTechnology or Integration
Description

Official Go client library for RavenDB supporting Go-based application development.

ravendb.net
Strategic tierCoreTypeTechnology or Integration
Description

Native Kafka integration with Kafka Sink and Kafka ETL for event streaming and data pipeline integration.

Strategic tierCoreTypeTechnology or Integration
Description

RabbitMQ integration with RabbitMQ Sink and RabbitMQ ETL for message queue-based data workflows.

Strategic tierCoreTypeTechnology or Integration
Description

Snowflake ETL integration for data warehousing and analytics workflows, enabling data export from RavenDB to Snowflake.

Strategic tierCoreTypeTechnology or Integration
Description

Power BI integration for business intelligence and data visualization directly from RavenDB data.

Strategic tierCoreTypeTechnology or Integration
Description

Grafana integration with Telegraf plugin for performance metrics visualization and monitoring dashboards.

Strategic tierCoreTypeTechnology or Integration
Description

Amazon SQS ETL integration for AWS queue-based workflows and data integration.

17Azure Storage Queues
Strategic tierCoreTypeTechnology or Integration
Description

Azure Queue Storage ETL integration for Azure-based queue workflows.

ravendb.net
Recent move2 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Amazon's managed MongoDB-compatible document database, sitting inside the broader AWS ecosystem; competes with RavenDB Cloud on every AWS region and benefits from native billing and zero-egress economics that make it the default for AWS-centric customers.

TypeEmerging player
Description

Open-source native multi-model database (document, graph, key-value) positioned as a flexible NoSQL alternative; overlaps with RavenDB on document workloads but adds graph capabilities that compete for adjacent workloads.

TypeBroad incumbent
Description

Microsoft's globally distributed multi-model database with first-party Azure integration; overlaps with RavenDB on document workloads and competes for the same Azure-hosted enterprise accounts, while benefiting from Microsoft's enterprise sales motion.

TypeEmerging player
Description

Managed NoSQL wide-column/distributed database with strong enterprise presence and vector search add-on; competes with RavenDB in multi-master replication, always-on, globally distributed workload profiles.

TypeDirect peer
Description

The dominant document NoSQL database and the most direct competitor to RavenDB; shares the same product category (schema-less document store with secondary indexing), the same target buyer (developers and enterprises), and is explicitly referenced in RavenDB's own comparison pages and migration case studies (e.g., IoT Bridge migrating off MongoDB).

TypeEmerging player
Description

Real-time NoSQL database optimized for high-throughput, low-latency reads/writes; comparable to RavenDB on the performance dimensions emphasized in RavenDB's marketing (1M reads/150K writes per node) and on enterprise customer profiles.

TypeDirect peer
Description

Distributed NoSQL document and key-value database with a comparable enterprise go-to-market; RavenDB explicitly references an 80% cost savings versus Couchbase at the 99.99th percentile (Rakuten Kobo case study), confirming a direct competitive overlap in performance-sensitive document workloads.

TypeDirect peer
Description

Enterprise multi-model NoSQL database with strong traction in regulated industries (government, healthcare, financial services) — directly comparable to RavenDB's enterprise, HIPAA, and compliance positioning and overlapping on document + semantic use cases.

TypeEmerging player
Description

Distributed SQL database with strong consistency, multi-region deployment, and a comparable compliance posture; adjacent to RavenDB but increasingly competitive for workload segments where developers choose SQL over document NoSQL.

TypeBroad incumbent
Description

Google's serverless NoSQL document database; competes with RavenDB Cloud on GCP, particularly for mobile/web application backends, and benefits from broader Firebase/Google Cloud bundling.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks4 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers31 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration10 records

Each record includes

Title, Type, Description, Source

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature15 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance5 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

RavenDB

NoSQL Document Databaseravendb.net

RavenDB is a privately-held NoSQL document database company offering self-optimizing Cloud, On-Prem, and Edge deployments with native AI capabilities (vector search, GenAI, AI agents) to 12,000+ customers across enterprise and SMB segments globally.

What RavenDB does

RavenDB is a privately-held NoSQL document database company founded around 2009 by Oren Eini and operated as RavenDB Limited, registered in Ireland (originally developed by Hibernating Rhinos Ltd). The product is a schema-less document database with ACID transaction support, distinguished by a self-optimizing engine that automatically creates and manages indexes based on query patterns, a SQL-like query language (RQL), and the proprietary Corax search engine for vector and full-text search. It is offered in three deployment variants — RavenDB Cloud (fully managed across AWS, Azure, and GCP in 70+ data centers with 99.99% uptime SLA), RavenDB On-Prem (perpetual license for data center and air-gapped environments), and RavenDB Edge (offline-first database for resource-constrained hardware such as Raspberry Pi) — all sharing the same Management Studio GUI and feature set.

The platform embeds native AI capabilities including GenAI Integration for LLM-driven workflows, AI Vector Search for semantic similarity, the AI Agent Creator for autonomous agents, and (as of April 2025) an in-Studio AI Assistant. It is SOC 2 Type II, SOC 3, ISO/IEC 27001:2022, HIPAA, and GDPR compliant, with X.509 certificate authentication and TLS 1.3. The customer base exceeds 12,000 organizations globally and includes Toyota, Verizon, Rakuten Kobo, JetBrains, Capgemini, Desoutter Tools, DPG Media, and RecruitNow across verticals such as automotive, telecom, media, manufacturing, healthcare, and IoT.

RavenDB monetizes through a hybrid model: a freemium cloud tier and free on-prem downloads for developers, tiered cloud subscriptions (from 1-core/0.5 GB RAM to 64-core/256 GB NVMe instances) with usage-based cost explorer, perpetual on-prem licenses with optional annual support renewals, separate OEM licensing for embedded use, and AI feature add-ons. Go-to-market combines product-led growth (free tiers, self-service cloud), community-led adoption (Discord, GitHub, Bootcamp courses, paid workshops), and enterprise field sales (POC programs, custom deployments). Distribution runs through direct sales, hyperscaler marketplaces, and partner integrations with Kafka, RabbitMQ, Snowflake, Power BI, Grafana, and Elasticsearch, with official SDKs for .NET, Node.js, Java, Python, Go, PHP, and C++.

RavenDB firmographics

Firmographics
Name
RavenDB
Legal name
RavenDB Limited
Website
https://ravendb.net
Company type
Private
Founded year
2009
Operating status
Operating
Headcount range
1–10 employees
Short description
RavenDB is a privately-held NoSQL document database company offering self-optimizing Cloud, On-Prem, and Edge deployments with native AI capabilities (vector search, GenAI, AI agents) to 12,000+ customers across enterprise and SMB segments globally.
Ownership category
akta.pro rank

RavenDB industry classification

Industry
Product category
NoSQL Document Database
NAICS
Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
NoSQL Database Management Systems (HDAEAAAB)
akta.pro secondary industries
Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Managed Databases (Relational/NoSQL/In-Memory DBaaS) (HDABAAAE), Multi-Cloud & Hybrid Cloud Enablement (BPAEACAK)

Keywords

  • NoSQL document database
  • Managed cloud database
  • On-premises database software
  • Edge IoT database
  • AI vector search database

Where RavenDB is headquartered

Location

Headquarters

HQ city
Caesarea
HQ country
Israel
HQ region
Middle East

Markets served

RavenDB business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Infrastructure, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. RavenDB Cloud Subscription: Fully managed cloud database service with subscription-based pricing. Includes maintenance, backups, failover, 24/7 support, and automatic scaling. Available in various instance sizes from small (1 core, 0.5 GB RAM) to large (64 cores, 256 GB RAM with NVMe).
  2. RavenDB On-Prem License: One-time perpetual license or annual subscription for on-premises deployment with complete control over database environment. Includes commercial license EULA and 24/7 support from the same developers who built the database.
  3. Support Packages: Various support tiers available including 24/7 support from RavenDB developers. Separate support policies for On-Prem and Cloud deployments.
  4. AI Features Add-ons: Additional capabilities including embeddings generation, GenAI integration, and AI agents available as add-ons in RavenDB Cloud.
  5. OEM License: Separate OEM license terms available for embedding RavenDB in other products or solutions.

Pricing tiers

ModelBillingPrice
FreemiumMonthlyFree tier for evaluation and development
SubscriptionMonthlyRavenDB Cloud subscription tiers
One time/ perpetual licenseMulti-year contractOn-Prem perpetual license
SubscriptionAnnualEnterprise support packages

Go-to-market motion4 records

Distribution channels6 records

Marketing channels10 records

RavenDB product offering

Product offering

Core offering

RavenDB develops and sells a self-optimizing NoSQL document database with ACID transactions, delivered as a managed cloud service (RavenDB Cloud), an on-premises perpetual license (RavenDB On-Prem), and an offline-first edge database (RavenDB Edge). The product includes a SQL-like query language (RQL), auto-indexing, master-master replication, and built-in AI capabilities (vector search, GenAI integration, AI Agent Creator). Customers buy subscriptions for the cloud, perpetual licenses for on-prem, and add-ons for AI features.

Product overview

RavenDB is a self-optimizing NoSQL document database. The product suite comprises three deployment variants: RavenDB Cloud (fully managed cloud service), RavenDB On-Prem (private network/data center deployment), and RavenDB Edge (IoT and offline-first scenarios). All variants share the same core features, Management Studio GUI, and AI capabilities. AI functionality includes GenAI Integration for LLM-driven workflows, AI Vector Search for semantic similarity, and AI Agents for autonomous database interactions. RavenDB is SOC 2, ISO 27001, HIPAA, and GDPR compliant.

Differentiator

Problem solved

Functional benefit

Products and services

  • RavenDB Cloud

Quantifiable outcome

  • 800% performance increase for complex queries (DPG Media case study)
  • +7 more outcomes

Companies that use RavenDB

Customer profile

Named customers31 records

Segments7 records

Ideal customer profiles5 records

RavenDB technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability5 records

Feature15 records

RavenDB partnerships and signals

Strategic signal

Partnerships

17 partnerships are on record, tiered core.

  • DockercoreTechnology or IntegrationDocker container support for RavenDB deployment. RavenDB provides official Docker images for easy containerization and deployment of the database across Docker-based infrastructure.
  • KubernetescoreTechnology or IntegrationKubernetes orchestration support for RavenDB clustering and deployment. Enables automated deployment, scaling, and management of containerized RavenDB applications.
  • Amazon Web Services (AWS)coreTechnology or IntegrationRavenDB Cloud available on AWS infrastructure with deployment across multiple AWS regions. Supports AWS SQS for queue integration and AWS S3 for remote attachments storage.
  • Microsoft AzurecoreTechnology or IntegrationRavenDB Cloud available on Azure infrastructure with deployment across multiple Azure regions. Supports Azure Queue Storage for ETL integration.
  • Google Cloud Platform (GCP)coreTechnology or IntegrationRavenDB Cloud available on GCP infrastructure with deployment across multiple GCP regions.
  • .NET SDKcoreTechnology or IntegrationFirst-class C#/.NET SDK support with idiomatic .NET API. Native integration with .NET ecosystem for seamless development experience.
  • Node.js SDKcoreTechnology or IntegrationOfficial Node.js/JavaScript client library for RavenDB with full API coverage.
  • Java SDKcoreTechnology or IntegrationOfficial Java client library for RavenDB with full API coverage for Java-based applications.
  • Python SDKcoreTechnology or IntegrationOfficial Python client library for RavenDB enabling Python developers to integrate RavenDB into their applications.
  • Go SDKcoreTechnology or IntegrationOfficial Go client library for RavenDB supporting Go-based application development.
  • KafkacoreTechnology or IntegrationNative Kafka integration with Kafka Sink and Kafka ETL for event streaming and data pipeline integration.
  • RabbitMQcoreTechnology or IntegrationRabbitMQ integration with RabbitMQ Sink and RabbitMQ ETL for message queue-based data workflows.
  • SnowflakecoreTechnology or IntegrationSnowflake ETL integration for data warehousing and analytics workflows, enabling data export from RavenDB to Snowflake.
  • Power BIcoreTechnology or IntegrationPower BI integration for business intelligence and data visualization directly from RavenDB data.
  • GrafanacoreTechnology or IntegrationGrafana integration with Telegraf plugin for performance metrics visualization and monitoring dashboards.
  • Amazon SQScoreTechnology or IntegrationAmazon SQS ETL integration for AWS queue-based workflows and data integration.
  • Azure Storage QueuescoreTechnology or IntegrationAzure Queue Storage ETL integration for Azure-based queue workflows.

Scale indicators8 records

Recent moves2 records

Expansion highlights6 records

RavenDB competitors and assessment

Company assessment

Broad incumbents

  • AWS DocumentDB: Amazon's managed MongoDB-compatible document database, sitting inside the broader AWS ecosystem; competes with RavenDB Cloud on every AWS region and benefits from native billing and zero-egress economics that make it the default for AWS-centric customers.
  • Microsoft Azure Cosmos DB: Microsoft's globally distributed multi-model database with first-party Azure integration; overlaps with RavenDB on document workloads and competes for the same Azure-hosted enterprise accounts, while benefiting from Microsoft's enterprise sales motion.
  • Google Firestore: Google's serverless NoSQL document database; competes with RavenDB Cloud on GCP, particularly for mobile/web application backends, and benefits from broader Firebase/Google Cloud bundling.

Emerging players

  • ArangoDB: Open-source native multi-model database (document, graph, key-value) positioned as a flexible NoSQL alternative; overlaps with RavenDB on document workloads but adds graph capabilities that compete for adjacent workloads.
  • DataStax (Apache Cassandra): Managed NoSQL wide-column/distributed database with strong enterprise presence and vector search add-on; competes with RavenDB in multi-master replication, always-on, globally distributed workload profiles.
  • Aerospike: Real-time NoSQL database optimized for high-throughput, low-latency reads/writes; comparable to RavenDB on the performance dimensions emphasized in RavenDB's marketing (1M reads/150K writes per node) and on enterprise customer profiles.
  • CockroachDB: Distributed SQL database with strong consistency, multi-region deployment, and a comparable compliance posture; adjacent to RavenDB but increasingly competitive for workload segments where developers choose SQL over document NoSQL.

Direct peers

  • MongoDB: The dominant document NoSQL database and the most direct competitor to RavenDB; shares the same product category (schema-less document store with secondary indexing), the same target buyer (developers and enterprises), and is explicitly referenced in RavenDB's own comparison pages and migration case studies (e.g., IoT Bridge migrating off MongoDB).
  • Couchbase: Distributed NoSQL document and key-value database with a comparable enterprise go-to-market; RavenDB explicitly references an 80% cost savings versus Couchbase at the 99.99th percentile (Rakuten Kobo case study), confirming a direct competitive overlap in performance-sensitive document workloads.
  • Progress MarkLogic: Enterprise multi-model NoSQL database with strong traction in regulated industries (government, healthcare, financial services) — directly comparable to RavenDB's enterprise, HIPAA, and compliance positioning and overlapping on document + semantic use cases.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat6 records

Key risks4 records

Key highlights7 records

Customer concentration

RavenDB social profiles

Digital presence

RavenDB compliance and trust

Trust signal

Compliance5 records

RavenDB financial estimates

Financial estimate

Revenue estimate

Valuation estimate

RavenDB leadership team

Management profile

Number of profiles

Profiles2 records

RavenDB funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

RavenDB M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about RavenDB

What does RavenDB do?

RavenDB develops and sells a self-optimizing NoSQL document database with ACID transactions, delivered as a managed cloud service (RavenDB Cloud), an on-premises perpetual license (RavenDB On-Prem), and an offline-first edge database (RavenDB Edge). The product includes a SQL-like query language (RQL), auto-indexing, master-master replication, and built-in AI capabilities (vector search, GenAI integration, AI Agent Creator). Customers buy subscriptions for the cloud, perpetual licenses for on-prem, and add-ons for AI features.

Is RavenDB a public or private company?

RavenDB is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was RavenDB founded?

RavenDB was founded in 2009. It employs 1 to 10 people.

Where is RavenDB based?

RavenDB is headquartered in Caesarea, Israel, in the Middle East region.

How does RavenDB make money?

Five revenue lines are on record. RavenDB Cloud Subscription is the primary driver. The others are ravenDB On-Prem License, support Packages, AI Features Add-ons and OEM License.

Who are RavenDB's main competitors?

Broad incumbents on record are AWS DocumentDB, Microsoft Azure Cosmos DB and Google Firestore. Emerging players are ArangoDB, DataStax (Apache Cassandra), Aerospike and CockroachDB. Direct peers are MongoDB, Couchbase and Progress MarkLogic.

Does RavenDB have an API?

Yes. RavenDB provides a public REST API that enables programmatic cluster and database management. The API supports automation of cluster deployment, storage size adjustments, instance type changes, and other management operations. Built-in autoscaling and zero-downtime updates are available via the API. Developer documentation is at docs.ravendb.net.

What industry is RavenDB in?

RavenDB's product category is NoSQL Document Database. Its primary akta.pro industry code is HDAEAAAB, NoSQL Database Management Systems, with a secondary code of HDAEAAAN, Database-as-a-Service (DBaaS) Platforms. Its NAICS code is 513210 and its SIC code is 7372.

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Live signals
ItbriefRavenDB launches Quill for AI agents on SQL databasesRavenDB launched Quill, a context layer for SQL databases that lets AI agents access live operational data without migration. It supports PostgreSQL, SQL Server, and MySQL, and is model-agnostic. The product aims to reduce the 18-24 month build time for production AI agents.BlocksandfilesAI agents can use Quill to talk direct to enterprise SQL databasesRavenDB's Quill AI context software lets AI agents access existing SQL databases without migration, using change data capture. It runs outside the database, includes vector embeddings and RAG, and supports PostgreSQL, SQL Server, and MySQL. Production-ready agents can be launched in weeks instead of 18-24 months.HackerNoonRavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems,No Migration RequiredRavenDB launched Quill, a platform that connects to existing SQL databases to deploy production AI agents without migration. It supports PostgreSQL, SQL Server, and MySQL, with governance and model-agnostic design. The product is available for cloud or on-premises deployment.TechStartupsRavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration RequiredRavenDB launched Quill, a context layer for SQL databases that enables production AI agents without migrating the source system. The layer is governed, model-agnostic, and supports PostgreSQL, SQL Server, and MySQL, with agents ready for web chat and messaging platforms. It aims to reduce deployment time from 18-24 months to weeks.Techzine EuropeRavenDB brings AI agents to existing SQL databases with QuillRavenDB introduced Quill, a context layer that runs on top of PostgreSQL, SQL Server, and MySQL databases to deploy AI agents without migrating existing systems. The package includes search, retrieval, and agents, with production-ready agents deployable in weeks versus 18-24 months for in-house builds. Quill is model-agnostic and supports cloud or on-premises deployment.TrendHunter.comEasily-Integrated AI Agents : ravendb agent creatorRavenDB released a database-native AI agent creator for enterprise use, enabling organizations to build and deploy AI agents directly within the database environment. The tool integrates retrieval of documents and time-series data, supports connector and tool definitions, and provides a development workflow with prompt configuration, access controls, and observability. It is positioned as part of a broader strategy to make AI functionality a first-class capability of its document database.PR NewswireRavenDB Launches the First Fully Integrated, Database-Native AI Agent CreatorRavenDB announced the launch of its AI Agent Creator, a first-of-its-kind feature fully integrated into the database that reduces the time required to build AI agents from weeks, months, or years to just days. The feature addresses enterprise AI adoption challenges, as a recent MIT study found that 95% of enterprise AI projects fail due to complexity in embedding models into workflows and data systems. The AI Agent Creator is now available as part of RavenDB 7.1 and supports all LLMs while running across cloud, on-premise, and edge environments.PR NewswireRavenDB Launches the First Fully Integrated, Database-Native AI Agent CreatorRavenDB launched its AI Agent Creator, a database-native tool that lets developers build AI agents in days. The feature runs agents inside the database with a zero-trust, default-deny approach, and is available in RavenDB 7.1. It supports all LLMs and includes smart caching to reduce costs.Ravendb2024 NoSQL Database Trend ReportA 2024 NoSQL Database Trend Report published by RavenDB analyzes five key trends in the NoSQL database space using data from the StackOverflow 2023 Developer Survey and JetBrains 2023 Developer Ecosystem, finding that 49% of developers use a combination of RDBMS and NoSQL, though 27% express desire to stop using relational databases. The report also highlights that AI/ML tools are being used by 44% of professional developers, that NoSQL solutions like Redis and MongoDB show 50-69% reciprocity with relational databases indicating specialist use cases, and that 45% of organizations still prefer self-hosting over major cloud providers. The report concludes that NoSQL databases are increasingly being adopted alongside distributed systems and microservices architectures, with cloud-native and managed database services gaining preference for reduced overhead.PR NewswireRavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and ShardingRavenDB announced the launch of Version 6.0 of its NoSQL document database, introducing three key features: integrations with Kafka and RabbitMQ, a new Corax indexing engine reportedly offering 10x performance improvement, and sharding capabilities for data distribution across multiple servers. The company states these improvements are designed to enhance data management, query performance, and scalability for organizations. RavenDB CEO Oren Eini stated the update would help transform how industries operate in the data-driven age.