--- title: "Databases & Warehouses Integrations for AI Agents" description: "54 Databases & Warehouses integrations for AI agents and workflows. Every operational database and analytics warehouse, one runtime. Agents read and write your data as a governed step in a flow, and stop for a human before the writes that carry risk, like a bulk delete or a change against a producti" url: https://flowrunner.ai/integrations/category/databases-warehouses date_modified: 2026-09-10T11:06:39-07:00 --- # Databases & Warehouses integrations for AI agents Every operational database and analytics warehouse, one runtime. Agents read and write your data as a governed step in a flow, and stop for a human before the writes that carry risk, like a bulk delete or a change against a production table. 54 Integrations 1228 Actions 9 Triggers 5 Real-time / polling ### [Airtable](https://flowrunner.ai/integrations/airtable) Database Use Airtable as a living operational database for your AI agents. 2 record triggers kick off workflows when data changes. 17 actions cover full CRUD across bases, tables, records, and comments. 2 triggers 17 actions ### [AITable](https://flowrunner.ai/integrations/apitable) Database AITable (formerly APITable) is an Airtable-style database with datasheets, views, spaces and a built-in AI agent. Agents read, create, update and delete records, manage fields, datasheets, members, teams and roles, and chat with the AITable AI agent from inside a flow. 30 actions ### [Amazon DynamoDB](https://flowrunner.ai/integrations/dynamodb-service) Database Read, write, query, and scan Amazon DynamoDB tables from automated flows. Agents persist workflow data, run PartiQL statements, and batch-load items with values returned as plain JSON. 10 actions ### [Amazon Redshift](https://flowrunner.ai/integrations/aws-redshift) Database Run SQL against an Amazon Redshift cluster or serverless workgroup through the Data API, no persistent connection required. Agents execute statements and batches asynchronously, poll for completion, fetch typed result rows, and explore databases, schemas, and table columns. 10 actions ### [ApptiveGrid](https://flowrunner.ai/integrations/apptivegrid) Database ApptiveGrid is a German no-code database and form builder built on a hypermedia API. Agents list spaces and grids, create and update entities, submit and read forms, and follow the links the server returns to reach any resource. 19 actions ### [Azure Cosmos DB](https://flowrunner.ai/integrations/azure-cosmos-db) Database Connect AI agents to Azure Cosmos DB through the Core (SQL) API. Agents manage databases and containers and create, read, query, replace, upsert, and delete documents. 15 actions ### [Azure Table Storage](https://flowrunner.ai/integrations/azure-table-storage) Database Connect AI agents to Azure Table Storage, the NoSQL key/attribute store in Azure Storage. Agents manage tables and entities keyed by PartitionKey and RowKey with OData filter queries. 12 actions ### [Baserow](https://flowrunner.ai/integrations/baserow) Database Connect AI agents to Baserow, the open-source no-code database. Agents read and write rows and manage databases, tables, and fields on Baserow Cloud or a self-hosted instance. 15 actions ### [Caspio](https://flowrunner.ai/integrations/caspio) Database Read and write data in your Caspio online database. Agents list tables and views, query records with filters, and insert, update, or delete rows to keep Caspio-built applications in sync with the rest of your stack. 8 actions ### [CrateDB](https://flowrunner.ai/integrations/cratedb) Database Connect AI agents to CrateDB over its SQL-over-HTTP endpoint. Agents run parameterized SQL and high-throughput batched writes against distributed time-series and IoT data. 2 actions ### [Databricks](https://flowrunner.ai/integrations/databricks) Database Connect AI agents to the Databricks REST API. Agents run SQL on a warehouse, orchestrate jobs, manage clusters, browse Unity Catalog, and inspect DBFS and workspace paths. 24 actions ### [Elasticsearch](https://flowrunner.ai/integrations/elasticsearch) Database Connect AI agents to Elasticsearch and Elastic Cloud. Agents index and search documents with full Query DSL, run bulk NDJSON operations, update or delete by query, and manage indices. 18 actions ### [Feishu Base](https://flowrunner.ai/integrations/feishubase) Database Feishu Base is the Bitable database inside Feishu. Agents create bases and tables, manage fields and views, search, create, update and delete records in bulk, and administer roles on bases with advanced permissions. 35 actions ### [FileMaker](https://flowrunner.ai/integrations/filemaker) Database Connect AI agents to a FileMaker Server or FileMaker Cloud database through the Data API. Agents read, create, edit, find, and delete records, run scripts, and inspect layout metadata. 13 actions ### [Fusioo](https://flowrunner.ai/integrations/fusioo) Database Fusioo is a collaborative online database organized as apps containing records, with discussions, files and users alongside the data. Agents search and write records, count and filter them, post discussions and comments, manage files and react to record changes through webhooks. 1 trigger 30 actions ### [Google BigQuery](https://flowrunner.ai/integrations/bigquery) Database Connect AI agents to Google BigQuery. Agents run GoogleSQL with named parameters, stream rows into tables, read table data without query cost, and manage datasets and tables. 11 actions ### [Google Firestore](https://flowrunner.ai/integrations/google-firestore) Database Connect AI agents to Cloud Firestore. Agents create, read, update, delete, list, query, and aggregate documents with plain JSON in and plain JSON out. 9 actions ### [Grist](https://flowrunner.ai/integrations/grist) Database Connect AI agents to Grist, the relational spreadsheet. Agents run record CRUD including upsert, manage tables and columns, discover documents, and run read-only SQL queries. 15 actions ### [Jestor](https://flowrunner.ai/integrations/jestor) Database Jestor is a Brazilian no-code platform for internal tools built on relational tables. Agents list, fetch, create, update and delete records, read table schemas and field options, manage users and tasks, and upload files. 15 actions ### [Jodoo](https://flowrunner.ai/integrations/jodoo) Database Jodoo, known as Jiandaoyun in China, is a no-code application platform built on forms and records. Agents read and write form records with file uploads, query aggregate tables, drive workflow instances and their approval tasks, and manage members, departments, and roles. 53 actions ### [Keboola](https://flowrunner.ai/integrations/keboola) Database Operate a Keboola data project from your flows. Agents manage Storage buckets and tables, preview and import CSV data with full or incremental loads, create component configurations, and trigger jobs and orchestrations while polling their status. 15 actions ### [Kintone](https://flowrunner.ai/integrations/kintone) Database Treat Kintone apps as a live database for your agents. They query records with conditions and pagination, create or update up to 100 records at once, post comments with mentions to record timelines, and read app schemas to build valid payloads dynamically. 102 actions ### [Knack](https://flowrunner.ai/integrations/knack) Database Read and write Knack no-code databases from your flows. Agents discover objects and field keys, filter records to drive downstream automation, and create, update, and delete records via the Knack REST API. 7 actions ### [Ksaar](https://flowrunner.ai/integrations/ksaar) Database Ksaar is the French no-code application platform. Agents discover applications and their workflows, create, search, and update workflow records with Ksaar's JSON search, manage application users, and read the files attached to either. 24 actions ### [Lark Base](https://flowrunner.ai/integrations/larksuitebase) Database Use Lark Base tables as agent-writable databases. Agents list and create tables, discover fields, and create, update, delete, and search records with structured filters, ideal for syncing form submissions and app data into ByteDance's Lark suite. 9 actions ### [LEAV Engine](https://flowrunner.ai/integrations/leav-engine) Database LEAV Engine is an open-source, self-hosted no-code data platform with a GraphQL API. Agents manage libraries, attributes, trees and views, create and deactivate records, save values in bulk and run GraphQL queries against your own deployment. 46 actions ### [Microsoft SQL Server](https://flowrunner.ai/integrations/sql-server) Database Connect AI agents to Microsoft SQL Server and Azure SQL Database. Agents run parameterized T-SQL, do CRUD without SQL, inspect schemas, and bulk-load rows as steps in a flow. 9 actions ### [MongoDB](https://flowrunner.ai/integrations/mongodb) Database Connect AI agents to MongoDB and MongoDB Atlas. Agents run the full document lifecycle, aggregation pipelines, collection and index management, and Atlas vector search. 22 actions ### [MySQL](https://flowrunner.ai/integrations/mysql) Database Connect AI agents to MySQL and MySQL-compatible servers such as MariaDB, PlanetScale, and Aurora. Agents run parameterized SQL, do CRUD without SQL, inspect schemas, and bulk-load rows. 9 actions ### [Ninox](https://flowrunner.ai/integrations/ninox) Database Read and write your Ninox low-code databases: agents browse teams, databases, and tables, list and filter records, create or update them in bulk, and run Ninox script queries to aggregate data across tables. 8 actions ### [NocoDB](https://flowrunner.ai/integrations/nocodb) Database Connect AI agents to NocoDB, the open-source no-code database. Agents read and write table records, manage linked records, provision tables, and inspect base and view metadata. 15 actions ### [NoCodeTable](https://flowrunner.ai/integrations/nocodetable) Database NoCodeTable is a hosted spreadsheet-database with documents, tables, fields, views and records. Agents create and query records, manage tables, fields and views, validate formula fields and set document, table and record configuration. 33 actions ### [Oracle Database](https://flowrunner.ai/integrations/oracle-database) Database Connect AI agents to Oracle Database in Thin mode (no Instant Client). Agents run SQL and PL/SQL, do CRUD without SQL, and inspect schemas as governed steps in a flow. 9 actions ### [Origami](https://flowrunner.ai/integrations/origami) Database Origami is the Israeli no-code business platform that runs CRM, HR, and ERP on one schemaless data model. Agents discover entities, query records with Origami's filter language, update fields and repeatable groups, attach files, read history, send email and SMS, and work the invoice system. 22 actions ### [Pickaform](https://flowrunner.ai/integrations/pickaform) Database Pickaform, now AirProcess, is a French no-code platform for building business applications out of forms, data models and workflows. Agents browse workspaces, applications, models and views, then create, update, search and delete the records behind them. 2 triggers 23 actions ### [PostgreSQL](https://flowrunner.ai/integrations/postgresql) Database Connect AI agents to PostgreSQL. Agents run parameterized SQL, read and write rows without SQL, inspect schemas, and bulk-load records as governed steps in a flow. 9 actions ### [QuestDB](https://flowrunner.ai/integrations/questdb) Database Connect AI agents to QuestDB, the high-performance time-series SQL database. Agents run queries and DDL/DML over the REST API, export result sets as CSV, and validate connectivity. 3 actions ### [Quick Base](https://flowrunner.ai/integrations/quickbase) Database Connect AI agents to Quick Base through the JSON REST API. Agents query, insert, update, and delete records, manage tables and fields, run reports, and download file attachments. 16 actions ### [QuintaDB](https://flowrunner.ai/integrations/quintadb) Database QuintaDB is an online database and form builder where databases hold forms, fields and records, with saved reports as filtered views. Agents create and update databases and forms, search and write records, update cells in bulk, upload files and run configured actions. 37 actions ### [Ragic](https://flowrunner.ai/integrations/ragic) Database Ragic is a no-code database builder where every sheet's own URL is its API endpoint. Agents list, create, update and delete records on any sheet, upload files, add comments, lock and approve records in bulk, run action buttons and download record documents. 18 actions ### [Redis](https://flowrunner.ai/integrations/redis) Database Connect AI agents to Redis. Agents cache values with TTL, maintain atomic counters and locks, work with hashes, lists, sets and sorted sets, publish messages, and read server stats. 26 actions ### [restdb.io](https://flowrunner.ai/integrations/restdb-io) Database restdb.io is a hosted NoSQL database whose REST API is generated from your schema, with MongoDB-style querying. Agents list, create, replace, update and delete documents, read and add child documents, query and manage media, read metadata and send email from the database. 21 actions ### [Retable](https://flowrunner.ai/integrations/retable) Database Retable is an online spreadsheet-database organized as workspaces containing projects containing tables. Agents get, insert, update, delete and search rows, create workspaces, projects and tables, add and remove columns and upload files to a project. 17 actions ### [SeaTable](https://flowrunner.ai/integrations/seatable) Database Connect AI agents to a SeaTable base. Agents read, append, and update rows in bulk, run read-only SQL over base data, maintain row links, and discover table and column names. 13 actions ### [Snowflake](https://flowrunner.ai/integrations/snowflake) Database Connect AI agents to Snowflake through the SQL API v2. Agents run parameterized SQL, load results into tables, poll long-running statements, and discover databases, schemas, and tables. 8 actions ### [Stackby](https://flowrunner.ai/integrations/stackby) Database Connect AI agents to Stackby, the spreadsheet-database. Agents create, read, update, and delete rows in a Stack table as governed steps in a flow. 5 actions ### [Supabase](https://flowrunner.ai/integrations/supabase) Database Real-time database operations and event triggers for Supabase. Agents react to record creation, updates, and deletion. Full CRUD with PostgREST filter support and dynamic table discovery. 3 triggers 4 actions ### [Tabidoo](https://flowrunner.ai/integrations/tabidoo) Database Tabidoo is a Czech low-code database platform organized as applications containing tables containing records. Agents list applications and tables, search, count and summarize records, create, update, replace and delete records in bulk and check the current user. 23 actions ### [Tadabase](https://flowrunner.ai/integrations/tadabase) Database Tadabase is a no-code database and application builder with data tables, pages built from components, scheduled tasks, exports and PDF templates. Agents read and write records, attach files, recalculate equations, run scheduled tasks, submit form components and generate exports and PDFs. 47 actions ### [TimescaleDB](https://flowrunner.ai/integrations/timescaledb) Database Connect AI agents to TimescaleDB, the time-series database built on PostgreSQL. Agents run SQL, do CRUD without SQL, manage hypertables, run time\_bucket rollups, and enforce chunk retention. 17 actions ### [TimeTonic](https://flowrunner.ai/integrations/timetonic) Database TimeTonic is a French no-code database and collaboration workspace built around books containing smart tables. Agents list books and tables, read table values, create and update rows and cells, roll back changes, manage cell comments, send book messages and attach files. 34 actions ### [Workiom](https://flowrunner.ai/integrations/workiom) Database Workiom is a no-code database and app builder where apps hold lists, fields, records and views, plus forms, dashboards and automations. Agents create apps from templates, manage lists and fields, read and write records, and run automations and approval requests. 178 actions ### [Xata](https://flowrunner.ai/integrations/xata) Database Let AI agents work your Xata serverless Postgres data. Agents insert, update, and bulk-load records, run typed queries, full-text search across tables and branches, aggregations, summaries, and raw SQL. 13 actions ### [Zite DB](https://flowrunner.ai/integrations/zite) Database Zite DB is the database behind Zite's no-code AI app builder, with databases containing tables containing records, a SQL read layer and webhooks. Agents manage databases, tables and fields, create, update and upsert records in bulk, aggregate and query with SQL and react to database events. 1 trigger 25 actions --- Markdown version of https://flowrunner.ai/integrations/category/databases-warehouses. Site index: https://flowrunner.ai/llms.txt