Regatta Data

Name: Regatta Data
Brand: Regatta Data

Unify OLTP, OLAP, and vector search in a single system built for AI agents.

Est 2019|Valuation $37M|Raised $80.5M|2 Ref Customers

LinkedIn 5K|Website|FTEs 93|HQ San Francisco, California, US

MarketsCloud Databases Vector Databases

01Competitive Landscape

| Aspect | RegattaDB | CockroachDB | SingleStore | |---|---|---|---| | Starting Price | Not publicly listed (sales-led engagement) | Public pricing page exists (varies by plan) | Public pricing pages exist (often contact sales / usage-based) | | Primary Use Cases | Organizations seeking a unified OLTP+OLAP+vector solution intended to reduce ETL/CDC complexity | Globally distributed OLTP with strong consistency; Postgres-like SQL | HTAP-style analytics + operational workloads; high-performance analytics and some vector support | | Key Strength | Vendor-stated unified architecture; strong claims regarding serializable isolation; MCP connectivity for agents | Mature ecosystem, large user base, managed offerings, established operations tooling | Proven in real-time analytics scenarios; established vendor and customer references | | Key Weakness | Limited third-party reviews; limited public security certification information; pricing opacity | Cost considerations at scale; distributed coordination overhead; not a full replacement for a data warehouse in many cases | Operational complexity; licensing and cost can be material; workload fit dependent on architecture | - Narrative comparison - Against CockroachDB - CockroachDB is widely recognized for distributed OLTP and resilience. Regatta emphasizes architectural convergence of OLTP, OLAP, and vector search and support for agent-driven workflows as differentiators. - Buyers should compare: - Behavior of mixed workloads and whether OLAP queries affect OLTP latency or isolation - Vector query performance and indexing options - Operational maturity, tooling, and breadth of customer references - Against SingleStore - SingleStore has a longer public track record in HTAP-type workloads with established market presence and references. Regatta emphasizes transaction semantics combined with analytical and vector capabilities in a single engine. - Buyers should evaluate compatibility with existing analytics and ML tooling, and compare long-term support and referenceable customer deployments. - Against YugabyteDB - Yugabyte focuses on distributed Postgres-compatible SQL. Regatta positions itself less on Postgres compatibility and more on convergence and agent-oriented integration. - Market adoption signals - A public database catalog lists Regatta as a proprietary HTAP DBMS, indicating some ecosystem awareness. - Absence from visible review sites and limited third-party coverage suggests Regatta is earlier in market penetration relative to incumbent providers.

01Competitive Landscape

Aspect	RegattaDB	CockroachDB	SingleStore
Starting Price	Not publicly listed (sales-led engagement)	Public pricing page exists (varies by plan)	Public pricing pages exist (often contact sales / usage-based)
Primary Use Cases	Organizations seeking a unified OLTP+OLAP+vector solution intended to reduce ETL/CDC complexity	Globally distributed OLTP with strong consistency; Postgres-like SQL	HTAP-style analytics + operational workloads; high-performance analytics and some vector support
Key Strength	Vendor-stated unified architecture; strong claims regarding serializable isolation; MCP connectivity for agents	Mature ecosystem, large user base, managed offerings, established operations tooling	Proven in real-time analytics scenarios; established vendor and customer references
Key Weakness	Limited third-party reviews; limited public security certification information; pricing opacity	Cost considerations at scale; distributed coordination overhead; not a full replacement for a data warehouse in many cases	Operational complexity; licensing and cost can be material; workload fit dependent on architecture

Narrative comparison
- Against CockroachDB
  - CockroachDB is widely recognized for distributed OLTP and resilience. Regatta emphasizes architectural convergence of OLTP, OLAP, and vector search and support for agent-driven workflows as differentiators.
  - Buyers should compare:
    - Behavior of mixed workloads and whether OLAP queries affect OLTP latency or isolation
    - Vector query performance and indexing options
    - Operational maturity, tooling, and breadth of customer references
- Against SingleStore
  - SingleStore has a longer public track record in HTAP-type workloads with established market presence and references. Regatta emphasizes transaction semantics combined with analytical and vector capabilities in a single engine.
  - Buyers should evaluate compatibility with existing analytics and ML tooling, and compare long-term support and referenceable customer deployments.
- Against YugabyteDB
  - Yugabyte focuses on distributed Postgres-compatible SQL. Regatta positions itself less on Postgres compatibility and more on convergence and agent-oriented integration.
Market adoption signals
- A public database catalog lists Regatta as a proprietary HTAP DBMS, indicating some ecosystem awareness.
- Absence from visible review sites and limited third-party coverage suggests Regatta is earlier in market penetration relative to incumbent providers.

Aspect

RegattaDB

CockroachDB

SingleStore

Starting Price

Not publicly listed (sales-led engagement)

Public pricing page exists (varies by plan)

Public pricing pages exist (often contact sales / usage-based)

Primary Use Cases

Organizations seeking a unified OLTP+OLAP+vector solution intended to reduce ETL/CDC complexity

Globally distributed OLTP with strong consistency; Postgres-like SQL

HTAP-style analytics + operational workloads; high-performance analytics and some vector support

Key Strength

Vendor-stated unified architecture; strong claims regarding serializable isolation; MCP connectivity for agents

Mature ecosystem, large user base, managed offerings, established operations tooling

Proven in real-time analytics scenarios; established vendor and customer references

Key Weakness

Limited third-party reviews; limited public security certification information; pricing opacity

Cost considerations at scale; distributed coordination overhead; not a full replacement for a data warehouse in many cases

Operational complexity; licensing and cost can be material; workload fit dependent on architecture