Regatta
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.
- Company typePrivate
- Founded2020
- HeadquartersSan Francisco, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
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
LocationHeadquarters
- 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
- 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 offeringCore 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 profileSegments6 records
Ideal customer profiles3 records
Regatta technology and API
TechnologyTechnology 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 signalPartnerships
Two partnerships are on record, tiered core.
- Claude (Anthropic)coreRegattaDB 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.
- CursorcoreNative 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 assessmentBroad 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 presenceRegatta financial estimates
Financial estimateRevenue estimate
Valuation estimate
Regatta leadership team
Management profileNumber of profiles
Profiles3 records
Regatta funding detail
Funding detailFunding 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 investmentM&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.