Databases and data warehouses: governed questions in plain language
Most companies already keep their best-modelled data in a warehouse or a reporting database. The hard part is letting people ask it questions without a shared service login and without guessing at definitions.
Nexatron runs each question as the person asking, with their own warehouse or database login, so grants, row-level security and masking apply as they do in the vendor's own tools. Every answer shows the approved definition, the tables it read and the query.
Databases & warehouses connectors
Amazon Athena analytics in plain language: ask about Glue catalog tables on S3, Iceberg data, workgroups and the data each query scans.
Status: AvailableRedshift MCP server for Claude and Copilot: ask questions of Amazon Redshift tables as your own Redshift user, with row-level security and visible SQL.
Status: AvailableA Cassandra dashboard in plain language: ask about keyspaces, tables, partitions and the application data in them, with the CQL shown for each answer.
Status: AvailableClickHouse MCP for governed questions: ask about events, logs and metrics in MergeTree tables, with row policies, the SQL and system.query_log in view.
Status: AvailableCosmos DB analytics in plain language: ask about items in containers, partition keys, request unit consumption and 429 throttling, with the query shown.
Status: AvailableDatabricks MCP server for Claude and Copilot: ask questions of Unity Catalog tables as yourself, with row filters, column masks and the SQL shown.
Status: AvailableDremio AI questions over your lakehouse: ask views in the semantic layer, Iceberg tables and federated sources, with reflections and job history in view.
Status: AvailableDynamoDB analytics in plain language: ask about items by partition and sort key, GSIs, consumed capacity and throttled requests, with each query shown.
Status: AvailableElasticsearch MCP questions over indices and data streams: logs, orders and search events answered with aggregations, under document-level security.
Status: AvailableBigQuery MCP server for Claude, ChatGPT and Copilot: ask questions of BigQuery datasets with your own Google account, IAM and row access policies.
Status: AvailableDb2 reporting without hand-written SQL: ask about orders, claims and accounts in IBM Db2 tables, plus SYSCAT catalog and package cache facts.
Status: AvailableInfluxDB dashboard questions in plain language: ask about sensor readings, server metrics and buckets, with the SQL, InfluxQL or Flux shown.
Status: AvailableMicrosoft Fabric AI questions across lakehouses, warehouses, semantic models and eventhouses in OneLake, under each person's Entra ID permissions.
Status: AvailableSQL Server MCP server for Claude and Copilot: ask questions of SQL Server or Azure SQL with your own login, row-level security and T-SQL shown.
Status: AvailableMongoDB MCP server for governed questions: orders, users and events in collections answered with aggregation pipelines, under each person's database role.
Status: AvailableMySQL MCP server for Claude, ChatGPT and Copilot: plain-language questions on MySQL, RDS or Aurora MySQL as your own account, with the SQL shown.
Status: AvailableNeo4j MCP server questions over your graph: customers, accounts, suppliers and the paths between them, answered in Cypher under each person's role.
Status: AvailableOracle Database analytics without writing SQL: ask application schemas, views and materialized views, plus data dictionary and V$SQL facts.
Status: AvailablePostgres MCP server: ask business questions of PostgreSQL, RDS or Aurora as your own database role, with row-level security and read-only SQL.
Status: AvailableSAP HANA analytics in plain language: ask calculation views, column tables and S/4HANA data in HANA, under analytic privileges, with the SQL shown.
Status: AvailableSingleStore analytics without writing SQL: ask live transactions and events in rowstore and columnstore tables, plus pipeline and workload facts.
Status: AvailableSnowflake MCP server for Claude, ChatGPT and Copilot: ask warehouse questions as yourself, with row access policies and the SQL shown on every answer.
Status: AvailableTeradata analytics in plain language: ask the enterprise warehouse tables and views on Vantage, plus DBC dictionary and DBQL query log facts.
Status: AvailableTimescaleDB analytics in plain language: ask hypertables, continuous aggregates and joined PostgreSQL tables, with the SQL shown for each answer.
Status: AvailableTrino analytics in plain language: ask Iceberg, Hive and relational catalogs through Trino or Starburst, under each user's access control rules.
Status: AvailableVertica AI questions over your columnar warehouse: business tables and views, projections and v_monitor query history, under Vertica access policies.
Status: Available
Questions that cross these systems
- What was net revenue by region last quarter, using the finance mart's definition?
- Which customers' usage fell by more than half compared with their three-month average?
- Which tables in the analytics schema have not been loaded in the last 24 hours?
Questions and answers
- Which databases does Nexatron answer today?
- Snowflake, Google BigQuery, Databricks, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server and Azure SQL, and DuckDB through MotherDuck. Each page in this list says how its connection signs people in.
- Is a database MCP server safe to give to Claude?
- It depends on whose credentials it uses. A server that connects with one shared login lets every assistant user read whatever that login can. Nexatron signs each person in separately and runs only checked, read-only queries.
Need a system from this list?
Tell us which system and which questions, and we will scope a pilot on your own data.