{"slug": "regatta-launches-its-unified-oltp-olap-and-vector-database", "title": "Regatta launches its unified OLTP, OLAP and vector database", "summary": "Regatta launched RegattaDB, a distributed SQL database that unifies transactional (OLTP), analytical (OLAP), and vector workloads as a drop-in replacement for Postgres, targeting AI agent systems. The database uses a single concurrency model for cross-node consistency and claims 20x performance per footprint over other distributed SQL databases, with CEO Boaz Palgi stating it solves data-layer challenges magnified by the agent movement. Former Intel CTO Greg Lavender joined Regatta's board to drive growth.", "body_md": "# Regatta launches its unified OLTP, OLAP and vector database\n\n[Regatta ](https://blocksandfiles.com/2025/02/04/regatta-olxp-database/)announced general availability of its RegattaDB, a distributed SQL database unifying transactional (OLTP), analytical (OLAP), and vector workloads with scale, performance and efficiency.\n\nRegattaDB is a drop-in replacement for Postgres and can scale to tens of thousands of nodes and is intended as a data foundation for AI agent systems. It uses one distributed concurrency model that delivers serializable cross-node consistency and uncompromised performance for all three workloads, obviating the need for for external pipelines or built-in synchronization layers. AI agents, using MCP, access a single source repository for OLTP, OLAP and vector data. They get faster access to consistent data, reducing the risk of hallucinations, missing data and response delays, as well as simplfiying a customer’s data pipeline infrastructure.\n\nCEO Boaz Palgi said: “When we started building Regatta, we had no idea the agent movement would become the next major wave in computing. What we did recognize was that the industry's data architecture had reached its limits. The same fundamental data-layer challenges that we saw years ago still exist today and agents are only magnifying them. We looked at the database as a storage and distributed systems problem and solved it from the bottom up. The result is a fundamentally different database architecture, and it is the only way to truly unify transactional (OLTP), real-time analytics (OLAP), and vector search at the scale, performance, and efficiency modern AI systems require.\"\n\nRegattaDB’s core concurrency control protocol enables fundamentally different workload types to run natively together across nodes’ boundaries without performance tradeoffs or consistency compromises.\n\nRegatta says RegattaDB is fast, delivering 20 times the performance per footprint of other distributed SQL databases. Using 50 commodity cloud nodes, it executed a distributed JOIN across 20 billion rows while sustaining 50,000 ACID-compliant transactional updates per second on the same dataset in just 3 minutes, with no indexes or data co-location optimizations.\n\nAn alternative approach streaming data from operational databases to a data warehouse and then running the query could take hours.\n\nRegatta claims RegattaDB’s architecture enables 400 percent denser workloads per server compared to legacy single node databases, and eliminates an average of 75 percent of hardware, power, cooling, and space costs. An overview of RegattaDB's architecture can be found [here](https://regatta.dev/products/regatta-s-architecture-a-bird-s-eye-view.) and information about how its patented concurrency control protocol works [here](https://regatta.dev/products/regattadb-concurrency-control-serializable-isolation-without-locks-snapshots-or-clock-sync).\n\nGreg Lavender, former Intel EVP and CTO, and board member at Nutanix and Arista, is joining the Regatta Data Board of Directors to help drive the company's next stage of growth.\n\n##### Comment\n\nThe availability of unified analytic, transactional and vector search databases, multi-model databases, is spreading. For example, [Databricks](https://www.blocksandfiles.com/data-management/2026/06/18/databricks-expands-lakehouse-to-unify-olap-and-oltp/5258373), [SingleStore](https://www.blocksandfiles.com/ai-ml/2025/10/01/singlestore-wants-to-be-chatgpt-for-data-and-ai-apps/1615045), and [SurrealDB](https://www.blocksandfiles.com/architecture/2026/07/06/surrealdbs-high-speed-ai-agent-context-layer/5266960). It is thought that the Databricks LTAP (Lake Transactional/Analytical Processing) technology actually involves having [two copies of data](https://www.theregister.com/databases/2026/07/03/databricks-unifies-oltp-and-olap-depending-on-what-counts-as-a-copy/5265733), one for transactions and a second for analytics.\n\nPalgi [posted](https://www.linkedin.com/feed/update/urn:li:activity:7478070268700286977/) “it is not a unified data platform. LTAP seems to still remain two engines, but that are sharing a storage layer. Postgres for transactions. Spark for analytics. In other words: the data is in one place. The concurrency model, the execution engine, and the operational surface are not.” Read more about this in a Palgi [blog](https://regatta.dev/blog/databricks-ltap-union-read-compute-cost).\n\nOther competitors include Azure Cosmos DB, CockroachDB, Google AllloyDB, TiDB, and YugubyteDB.\n\nThere will be implementation differences between them, and they won’t matter so much as the performance and scale of the multi-model database involved. Check out RegattaDB perforrmance [here](https://regatta.dev/blog/regattadb-tpc-c-benchmark-750k-tps-1-5m-warehouses) and [here](https://regatta.dev/blog/20b-row-join).\n\n##### Bootnote\n\nRegatta has raised $68 million from Lightspeed Venture Partners, 83North, TPY Capital, plus enterprises like Salesforce, Comcast, and Amdocs, and industry angel investors Frank Slootman, Eyal Waldman, Bill Scannell, and Greg Lavender. Regatta’s founding team previously founded or led data infrastructure software companies Topio (acquired by NetApp), XtremIO (acquired by EMC), Storwize (acquired by IBM), and ScaleIO (acquired by EMC, today Dell PowerFlex).", "url": "https://wpnews.pro/news/regatta-launches-its-unified-oltp-olap-and-vector-database", "canonical_source": "https://www.blocksandfiles.com/data-management/2026/07/15/regatta-launches-its-unified-oltp-olap-and-vector-database/5271769", "published_at": "2026-07-15 13:40:00+00:00", "updated_at": "2026-07-15 14:05:16.922487+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-agents"], "entities": ["Regatta", "RegattaDB", "Postgres", "Boaz Palgi", "Greg Lavender", "Intel", "Nutanix", "Arista"], "alternates": {"html": "https://wpnews.pro/news/regatta-launches-its-unified-oltp-olap-and-vector-database", "markdown": "https://wpnews.pro/news/regatta-launches-its-unified-oltp-olap-and-vector-database.md", "text": "https://wpnews.pro/news/regatta-launches-its-unified-oltp-olap-and-vector-database.txt", "jsonld": "https://wpnews.pro/news/regatta-launches-its-unified-oltp-olap-and-vector-database.jsonld"}}