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Regatta

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uuid00076fg

Namestring
Regatta
Legal namestring
Regatta
Company typeenum
Private
Founded yearint
2020
Descriptiontext

Regatta is a private database infrastructure company founded in 2020 and headquartered in San Francisco, with 51-100 employees. The company builds RegattaDB, a distributed SQL database that unifies transactional (OLTP), analytical (OLAP), and vector search workloads within a single engine under a shared concurrency model. The architecture is storage-centric and built around a patented Concurrency Control Protocol (CCP) that delivers serializable isolation without snapshot overhead or clock synchronization, complemented by flash-optimized data layouts, row-level logical caching, Ranger version-cleanup logic, and stable row ID indexing. In 2025 Regatta repositioned the product specifically as "The Database For Agentic AI," targeting organizations deploying autonomous AI agents that require real-time transactional consistency, analytical reasoning, and semantic retrieval in one system.

The company was founded by veterans of enterprise storage companies ScaleIO and XtremIO — CEO and co-founder Boaz Palgi, CTO and co-founder Erez Webman, and VP R&D and co-founder Eran Borovik — with Jim Walker serving as Chief Product Officer. Regatta has secured early-stage backing from Comcast Ventures and Salesforce Ventures. Native integrations span drivers for Python, Java, and JavaScript/TypeScript, ORM dialects for SQLAlchemy, Django, and TypeORM, and native Model Context Protocol support enabling direct connectivity for AI agents such as Claude and Cursor.

Regatta monetizes through subscription licensing of RegattaDB, offered via a managed cloud service (Regatta Cloud) and self-hosted RPM packages for Red Hat-based Linux distributions. The go-to-market is an enterprise field sales motion with consultative demos and custom pricing; no pricing tiers are published. Customer segmentation is horizontal, with primary positioning around AI agent infrastructure and secondary use cases spanning e-commerce personalization, real-time fraud detection, network operations automation, security incident response, and trading and risk management. No named customer logos, revenue figures, or contract values are publicly disclosed.

Short descriptiontext

Regatta is a private database company building RegattaDB, a distributed SQL database that unifies OLTP, OLAP, and vector search in a single engine for enterprise customers deploying AI agent infrastructure, with deployment via managed cloud or self-hosted packages.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
distributed SQL database, HTAP database, vector search engine, transactional consistency, real-time analytics
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Distributed Database Software
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Database Platform Subscription
TypeSubscription Recurring
Description

RegattaDB appears to be offered as a subscription-based database platform, with both cloud-hosted (Regatta Cloud) and self-hosted deployment options. The company provides RPM packages for self-hosted deployment and likely offers managed cloud services.

regatta.dev
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

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

Cost components4 values
Technology or R&D, Personnel, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Regatta builds RegattaDB, a distributed SQL database that unifies OLTP (transactional), OLAP (analytical), and vector search workloads in a single engine under a proprietary Concurrency Control Protocol (CCP). The platform is purpose-built for AI agent applications that require real-time transactional consistency, live analytics, and semantic reasoning without ETL pipelines or data movement between separate systems.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 750,000+ TPS sustained on 1.5 million warehouses at 98% tpmC efficiency
+3 more records
Product overview1 text field

Regatta offers a single unified product, RegattaDB, which is a distributed SQL database that consolidates OLTP, OLAP, and vector search workloads into one system. Rather than separate products or modules, RegattaDB provides all three capabilities through a unified architecture with a shared concurrency model, enabling agents and applications to read live state, execute transactions, and reason over context in a single step. The platform supports deployment options including Regatta Cloud (managed service) and self-hosted deployments, with drivers and ORM integrations for Python, Java, and JavaScript/TypeScript.

Product and service1 record
1RegattaDB
CategoryDistributed Database
Description

RegattaDB is a distributed SQL database that combines OLTP (transactional processing), OLAP (analytical queries), and vector search in a single engine with a shared concurrency model. It is designed for AI agent systems and enterprise applications requiring real-time data, contextual reasoning, and serializable transactional consistency at scale without ETL pipelines. The product supports deployment via Regatta Cloud (managed service) or self-hosted via RPM packages.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeTechnology or Integration
Description

RegattaDB ships with native MCP (Model Context Protocol) support, enabling Claude and any MCP-compatible AI agent to connect to live transactional data, run real-time analytics, and execute vector search through a single standardized connection. Users can add Regatta Docs as a connector in Claude.ai settings.

Strategic tierCoreTypeTechnology or Integration
Description

Native MCP support enables Cursor IDE to connect to RegattaDB for AI-assisted database interactions, with live data access and vector search capabilities.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Snowflake is the leading cloud data warehouse/OLAP platform with $3B+ revenue and a massive customer base. It is comparable to Regatta as an analytics-focused data platform, though Snowflake lacks native OLTP and vector search in a unified engine the way RegattaDB does.

TypeBroad incumbent
Description

Databricks is the dominant lakehouse platform with $3B+ revenue, combining data warehousing, AI/ML, and ETL in a unified platform. It competes with Regatta in the unified analytics space and serves similar enterprise customers needing AI/ML infrastructure.

TypeDirect peer
Description

ClickHouse is a fast open-source column-oriented OLAP database that competes with RegattaDB's analytical capabilities. Both target real-time analytics on large datasets with high performance, though ClickHouse lacks native OLTP and vector search unification.

TypeDirect peer
Description

SingleStore (formerly MemSQL) is a distributed SQL database offering HTAP (Hybrid Transactional/Analytical Processing) capabilities. It is a direct competitor to RegattaDB's unified OLTP+OLAP vision, targeting similar real-time analytics use cases.

5TiDB
TypeDirect peer
Description

TiDB is an open-source distributed SQL database with HTAP capabilities, offering MySQL compatibility and horizontal scaling. It directly competes with RegattaDB in the distributed SQL/unified transaction and analytics space.

TypeDirect peer
Description

CockroachDB is a distributed SQL database focused on global, resilient OLTP workloads with horizontal scaling. It is a direct competitor to RegattaDB in the distributed SQL category, targeting enterprise customers needing geo-distributed transactions.

TypeEmerging player
Description

DuckDB is an in-process analytical database (OLAP) that has gained massive adoption for embedded analytics. It competes with RegattaDB's analytical capabilities, particularly in scenarios where customers want lightweight, embedded analytical engines.

TypeEmerging player
Description

StarRocks is a high-performance MPP database for real-time analytics, similar to ClickHouse. It competes with RegattaDB's OLAP capabilities, particularly for sub-second analytical queries on large datasets.

TypeEmerging player
Description

Firebolt is a cloud-native data warehouse focused on sub-second analytics on large datasets. It competes with RegattaDB in the real-time analytics segment for enterprise customers needing fast query performance.

TypeEmerging player
Description

MotherDuck is a serverless cloud analytics platform built on DuckDB, targeting hybrid execution of analytical workloads. It is comparable to RegattaDB in providing modern analytical infrastructure, though focused on DuckDB's columnar model.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment6 records

Each record includes

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

Ideal customer profile3 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

Integration9 records

Each record includes

Title, Type, Description, Source

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

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

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

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

Investors8 records

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 →

Regatta

Distributed Database Softwareregatta.dev

Regatta is a private database company building RegattaDB, a distributed SQL database that unifies OLTP, OLAP, and vector search in a single engine for enterprise customers deploying AI agent infrastructure, with deployment via managed cloud or self-hosted packages.

What Regatta does

Regatta is a private database infrastructure company founded in 2020 and headquartered in San Francisco, with 51-100 employees. The company builds RegattaDB, a distributed SQL database that unifies transactional (OLTP), analytical (OLAP), and vector search workloads within a single engine under a shared concurrency model. The architecture is storage-centric and built around a patented Concurrency Control Protocol (CCP) that delivers serializable isolation without snapshot overhead or clock synchronization, complemented by flash-optimized data layouts, row-level logical caching, Ranger version-cleanup logic, and stable row ID indexing. In 2025 Regatta repositioned the product specifically as "The Database For Agentic AI," targeting organizations deploying autonomous AI agents that require real-time transactional consistency, analytical reasoning, and semantic retrieval in one system.

The company was founded by veterans of enterprise storage companies ScaleIO and XtremIO — CEO and co-founder Boaz Palgi, CTO and co-founder Erez Webman, and VP R&D and co-founder Eran Borovik — with Jim Walker serving as Chief Product Officer. Regatta has secured early-stage backing from Comcast Ventures and Salesforce Ventures. Native integrations span drivers for Python, Java, and JavaScript/TypeScript, ORM dialects for SQLAlchemy, Django, and TypeORM, and native Model Context Protocol support enabling direct connectivity for AI agents such as Claude and Cursor.

Regatta monetizes through subscription licensing of RegattaDB, offered via a managed cloud service (Regatta Cloud) and self-hosted RPM packages for Red Hat-based Linux distributions. The go-to-market is an enterprise field sales motion with consultative demos and custom pricing; no pricing tiers are published. Customer segmentation is horizontal, with primary positioning around AI agent infrastructure and secondary use cases spanning e-commerce personalization, real-time fraud detection, network operations automation, security incident response, and trading and risk management. No named customer logos, revenue figures, or contract values are publicly disclosed.

Regatta firmographics

Firmographics
Name
Regatta
Legal name
Regatta
Website
https://regatta.dev/
Company type
Private
Founded year
2020
Operating status
Operating
Headcount range
51–100 employees
Short description
Regatta is a private database company building RegattaDB, a distributed SQL database that unifies OLTP, OLAP, and vector search in a single engine for enterprise customers deploying AI agent infrastructure, with deployment via managed cloud or self-hosted packages.
Ownership category
akta.pro rank

Where Regatta is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Markets served

Regatta business model

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

Revenue model

  1. Database Platform Subscription: RegattaDB appears to be offered as a subscription-based database platform, with both cloud-hosted (Regatta Cloud) and self-hosted deployment options. The company provides RPM packages for self-hosted deployment and likely offers managed cloud services.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Regatta product offering

Product offering

Core offering

Regatta builds RegattaDB, a distributed SQL database that unifies OLTP (transactional), OLAP (analytical), and vector search workloads in a single engine under a proprietary Concurrency Control Protocol (CCP). The platform is purpose-built for AI agent applications that require real-time transactional consistency, live analytics, and semantic reasoning without ETL pipelines or data movement between separate systems.

Product overview

Regatta offers a single unified product, RegattaDB, which is a distributed SQL database that consolidates OLTP, OLAP, and vector search workloads into one system. Rather than separate products or modules, RegattaDB provides all three capabilities through a unified architecture with a shared concurrency model, enabling agents and applications to read live state, execute transactions, and reason over context in a single step. The platform supports deployment options including Regatta Cloud (managed service) and self-hosted deployments, with drivers and ORM integrations for Python, Java, and JavaScript/TypeScript.

Differentiator

Problem solved

Functional benefit

Products and services

  • RegattaDB RegattaDB is a distributed SQL database that combines OLTP (transactional processing), OLAP (analytical queries), and vector search in a single engine with a shared concurrency model. It is designed for AI agent systems and enterprise applications requiring real-time data, contextual reasoning, and serializable transactional consistency at scale without ETL pipelines. The product supports deployment via Regatta Cloud (managed service) or self-hosted via RPM packages.

Quantifiable outcome

  • 750,000+ TPS sustained on 1.5 million warehouses at 98% tpmC efficiency
  • +3 more outcomes

Companies that use Regatta

Customer profile

Segments6 records

Ideal customer profiles3 records

Regatta technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability7 records

Feature6 records

Regatta partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • Claude (Anthropic)coreTechnology or IntegrationRegattaDB ships with native MCP (Model Context Protocol) support, enabling Claude and any MCP-compatible AI agent to connect to live transactional data, run real-time analytics, and execute vector search through a single standardized connection. Users can add Regatta Docs as a connector in Claude.ai settings.
  • CursorcoreTechnology or IntegrationNative MCP support enables Cursor IDE to connect to RegattaDB for AI-assisted database interactions, with live data access and vector search capabilities.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Regatta competitors and assessment

Company assessment

Broad incumbents

  • Snowflake: Snowflake is the leading cloud data warehouse/OLAP platform with $3B+ revenue and a massive customer base. It is comparable to Regatta as an analytics-focused data platform, though Snowflake lacks native OLTP and vector search in a unified engine the way RegattaDB does.
  • Databricks: Databricks is the dominant lakehouse platform with $3B+ revenue, combining data warehousing, AI/ML, and ETL in a unified platform. It competes with Regatta in the unified analytics space and serves similar enterprise customers needing AI/ML infrastructure.

Direct peers

  • ClickHouse: ClickHouse is a fast open-source column-oriented OLAP database that competes with RegattaDB's analytical capabilities. Both target real-time analytics on large datasets with high performance, though ClickHouse lacks native OLTP and vector search unification.
  • SingleStore: SingleStore (formerly MemSQL) is a distributed SQL database offering HTAP (Hybrid Transactional/Analytical Processing) capabilities. It is a direct competitor to RegattaDB's unified OLTP+OLAP vision, targeting similar real-time analytics use cases.
  • TiDB: TiDB is an open-source distributed SQL database with HTAP capabilities, offering MySQL compatibility and horizontal scaling. It directly competes with RegattaDB in the distributed SQL/unified transaction and analytics space.
  • Cockroach Labs: CockroachDB is a distributed SQL database focused on global, resilient OLTP workloads with horizontal scaling. It is a direct competitor to RegattaDB in the distributed SQL category, targeting enterprise customers needing geo-distributed transactions.

Emerging players

  • DuckDB: DuckDB is an in-process analytical database (OLAP) that has gained massive adoption for embedded analytics. It competes with RegattaDB's analytical capabilities, particularly in scenarios where customers want lightweight, embedded analytical engines.
  • StarRocks: StarRocks is a high-performance MPP database for real-time analytics, similar to ClickHouse. It competes with RegattaDB's OLAP capabilities, particularly for sub-second analytical queries on large datasets.
  • Firebolt: Firebolt is a cloud-native data warehouse focused on sub-second analytics on large datasets. It competes with RegattaDB in the real-time analytics segment for enterprise customers needing fast query performance.
  • MotherDuck: MotherDuck is a serverless cloud analytics platform built on DuckDB, targeting hybrid execution of analytical workloads. It is comparable to RegattaDB in providing modern analytical infrastructure, though focused on DuckDB's columnar model.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

Regatta social profiles

Digital presence

Regatta financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Regatta leadership team

Management profile

Number of profiles

Profiles3 records

Regatta funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors8 records

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

Regatta 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 Regatta

What does Regatta do?

Regatta builds RegattaDB, a distributed SQL database that unifies OLTP (transactional), OLAP (analytical), and vector search workloads in a single engine under a proprietary Concurrency Control Protocol (CCP). The platform is purpose-built for AI agent applications that require real-time transactional consistency, live analytics, and semantic reasoning without ETL pipelines or data movement between separate systems.

Is Regatta a public or private company?

Regatta is a private company. It is classified as venture growth investor backed and is currently operating.

When was Regatta founded?

Regatta was founded in 2020. It employs 51 to 100 people.

Where is Regatta based?

Regatta is headquartered in San Francisco, United States, in the North America region.

How does Regatta make money?

One revenue line is on record: database Platform Subscription.

Who are Regatta's main competitors?

Broad incumbents on record are Snowflake and Databricks. Direct peers are ClickHouse, SingleStore, TiDB and Cockroach Labs. Emerging players are DuckDB, StarRocks, Firebolt and MotherDuck.

Does Regatta have an API?

Yes. Regatta provides native MCP (Model Context Protocol) support, enabling any MCP-compatible AI agent to connect to live transactional data, run real-time analytics, and execute vector search through a single standardized connection. Additionally, Regatta offers Python, Java, and JavaScript/TypeScript drivers following standard DB-API specifications (PEP 249 for Python). ORM frameworks supported include SQLAlchemy (version 2.0.34+) and Django (version 4.2+), and TypeORM integration is available for Node.js applications. Developer documentation is at docs.regatta.dev/home.

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Live signals
FuturumRegatta Introduces RegattaDB: A Unified Engine Built for the Era of Read-Write AIRegatta officially launched RegattaDB, a combined OLTP and OLAP database engine engineered to support autonomous AI agents capable of executing live read-write transactions without traditional pipeline latency. The platform leverages a pure scale-out, shared-nothing architecture to process hundreds of millions of events per second while maintaining strict ACID compliance, directly targeting the fragmentation between operational databases, analytical warehouses, and vector stores. At launch, RegattaDB is available only for on-premises or single-cloud/managed hosted environments, with native hybrid multi-cloud deployment capabilities planned for future release.AijournRegattaDB Launches as the Database Built for AI Agents — Unifying OLTP, OLAP, and VectorsRegatta Data announced the general availability of RegattaDB, a unified distributed SQL database that combines transactional (OLTP), analytical (OLAP), and vector search workloads in a single system built specifically for AI agent systems. The company has raised $68 million in funding from Lightspeed Venture Partners, 83North, and TPY Capital, with enterprise investors including Salesforce, Comcast, and Amdocs, and claims the database can reduce infrastructure costs by 75% while delivering 20x performance per footprint compared to other distributed SQL databases. Synergy Logistics, a UK-headquartered supply chain software company, has selected RegattaDB as the data layer for its ORCA hybrid warehouse management system.TechTargetRegatta Data launches unified base for AI with RegattaDBRegatta Data launched RegattaDB, a SQL database built for AI workloads, to unify analytical, transactional, and vector search data. The company claims it reduces cost and complexity by eliminating separate databases and pipelines. Analysts note potential performance gains and scalability for AI agents.RegattaPress Release: RegattaDB Launches as the Database Built for AI AgentsRegatta Data announced general availability of RegattaDB, a distributed SQL database unifying OLTP, OLAP, and vector workloads. The company raised $68M from Lightspeed Venture Partners, 83North, TPY Capital, and enterprises like Salesforce and Comcast. RegattaDB claims 75% infrastructure cost reduction and 20x performance per footprint.EIN PresswireRegattaDB Launches as the Database Built for AI Agents — Unifying OLTP, OLAP, and VectorsRegatta Data announced the general availability of RegattaDB, a distributed SQL database unifying OLTP, OLAP, and vector search. The company raised $68M from Lightspeed Venture Partners, 83North, and TPY Capital, and Synergy Logistics selected it for its ORCA WMS. The database delivered 20x performance per footprint and 400% denser workloads per server.BlocksandfilesDatabase startup Regatta emerges from stealth modeRegatta, a database startup founded in 2019, has emerged from stealth mode with an OLTP and OLAP database product for developers scheduled for release later this year. The company, led by founders with prior exits at NetApp, EMC, and IBM, and featuring former Dell/VMware executive Chad Sakac as VP for Go To Market, has raised $58.3 million across A and B funding rounds with approximately 50 engineers developing the product. Regatta claims its database eliminates the operational complexity of ETL processes by handling transactional, analytical, and high-ingress workloads simultaneously while serving as a Postgres replacement.