Microsoft promises all-in-one database wrangling hub on Fabric
- Reference: 1773855879
- News link: https://www.theregister.co.uk/2026/03/18/microsoft_fabric_latest/
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With the vendor's Fabric data platform, Database Hub promises a single location for engineers to manage a range of common database services, including Azure SQL Server, multi-model system Azure Cosmos DB, Azure Database for PostgreSQL, SQL Server enabled by Azure Arc, Azure Database for MySQL, and other Fabric services.
Available for early access, the "unified database management experience" will help manage systems on-premises, on PaaS, and on SaaS, Microsoft said. Shireesh Thota, Microsoft corporate vice president for databases, said: "With databases built natively into Microsoft Fabric, we're helping customers modernize SQL, unify their data estate, and build AI-native applications faster and with greater confidence."
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He said Database Hub would benefit users whose "organizations manage a mix of relational and NoSQL databases across edge, PaaS, and SaaS environments, often through fragmented tools, portals, and management experiences."
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With that much database control in one place, Microsoft then plans to sprinkle some AI on top, claiming it will save time and boost performance.
"The Database Hub introduces an agent-assisted, human-in-the-loop approach to database management. Intelligent agents continuously reason over estate-wide signals to surface what changed, explain why it matters, and guide teams towards what to do next," Thota said.
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Whether tech teams will trust an AI agent's "reasoning" is another matter.
Thota said Microsoft's LLM tool, Copilot, would also provide insights to help teams quickly understand what's happening across their database estate and why.
"Aggregate health views, common performance categories, and trend analysis provide consistent signals across services, enabling operations and development teams to move from insight to action with greater confidence."
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The Register asked Microsoft whether its Hub would help tune databases, which require system builders to trade off a huge number of choices to optimize performance. They might include system knobs such as runtime parameters and memory caching policies, physical design such as the data structure or index types, query tuning options that control how a database is going to execute a query, and lastly, lifecycle management involving long-term decisions over when to upgrade software or hardware.
[6]No membrane in sight as Osmos diffuses into Microsoft Fabric
[7]Snowflake goes all out to woo PostgreSQL developers with lakehouse extensions
[8]Microsoft weaves Oracle and BigQuery data mirroring into Fabric platform
[9]Microsoft stitches transactional databases to Fabric analytics system
Last year, Carnegie Mellon University Database Group [10]published a paper showing that vector embedding algorithms could improve the performance of default settings on common PostgreSQL database services by a factor of two to ten. Using a separate "LLM-booster," the time running the protocol could be cut from around 12 hours to around 50 minutes.
Over the past few years, Microsoft has shown an interest in promoting a range of database systems as well as its own SQL Server.
In a mark of how far it has come, last year Microsoft launched [11]a document database platform constructed on a relational PostgreSQL backend, in the process developing two open source extensions to the RDBMS.
In November last year, [12]Microsoft announced a distributed PostgreSQL database service designed to rival other hyperscaler systems and third-party RDBMSes such as CockroachDB and YugabyteDB.
Microsoft has not said whether either system would be included in the Database Hub management.
Other data analytics and machine learning vendors, such as Databricks and Snowflake, have announced transactional database services within their platforms. Last year, [13]Snowflake launched a PostgreSQL database-as-a-service within its AI data environment to place transactional workloads alongside analytics and AI under a single set of governance rules. Following [14]its acquisition of Neon , which provides a serverless PostgreSQL architecture, Databricks announced its service Lakebase. ®
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[3] https://pubads.g.doubleclick.net/gampad/jump?co=1&iu=/6978/reg_software/databases&sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&tile=3&c=33absukrFIoWExEnS4KYMaHgAAAQg&t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0
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[6] https://www.theregister.com/2026/01/06/microsoft_acquires_osmos/
[7] https://www.theregister.com/2025/11/05/snowflake_postgresql_push/
[8] https://www.theregister.com/2025/09/18/microsoft_fabric_google_oracle/
[9] https://www.theregister.com/2025/05/23/microsoft_stitches_transactional_databases_to/
[10] https://www.theregister.com/2025/10/22/cmu_proto_x_postgres
[11] https://www.theregister.com/2025/01/27/microsoft_builds_open_source_document
[12] https://www.theregister.com/2025/11/19/microsoft_azure_horizondb/
[13] https://www.theregister.com/2026/02/03/snowflake_postgresql_ai_data
[14] https://www.theregister.com/2025/06/10/snowflake_and_databricks_bank_postgresql/
[15] https://whitepapers.theregister.com/
Meh
So, who cares, let AI do it , I'm happy as a joiner now?