Data, Databases & Storage
Data, Databases & Storage integrations for AI agents
Databases, data warehouses, object stores, and streaming data systems.
Databases, warehouses, and storage are where an agent's answers become accountable — instead of guessing at a number, the agent runs the query. Dezifi scopes data access per agent: which connections, read-only or read-write, and with PII redaction applied to results before the model sees them. Analytics agents get warehouse access; nothing gets production write access without a policy that says so.
Integration
Airtable
Airtable integration for bases, tables, records, fields, views, and webhooks
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Integration
Amazon DynamoDB
Amazon DynamoDB integration for tables, items, queries, scans, and batch operations
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Integration
Amazon Redshift
Amazon Redshift integration for SQL execution, clusters, databases, schemas, tables, and statement management
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Integration
Amazon S3
Amazon S3 integration for buckets, objects, multipart uploads, presigned URLs, and tagging
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Integration
Apache Cassandra
Apache Cassandra integration for queries, keyspaces, tables, cluster info, and data operations
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Integration
Azure Blob Storage
Azure Blob Storage integration for containers, blobs, metadata, and account operations
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Integration
Box
Box integration for files, folders, collaborations, shared links, and user operations
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Integration
ClickHouse
ClickHouse integration for queries, databases, tables, system info, processes, and table stats
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Integration
Couchbase
Couchbase integration for queries, buckets, documents, indexes, scopes, and collections
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Integration
Databricks
Databricks integration for clusters, jobs, runs, SQL warehouses, notebooks, repos, and workspace management
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Integration
Dropbox
Dropbox integration for folders, files, shared links, and account operations
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Integration
Elasticsearch
Elasticsearch integration for search and analytics via MCP protocol
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Integration
Google BigQuery
Google BigQuery integration for queries, datasets, tables, jobs, routines, and data operations
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Integration
Google Cloud Storage
Google Cloud Storage integration for buckets, objects, IAM, and data operations
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Integration
Google Drive
Google Drive integration for files, permissions, comments, and search
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Integration
Google Firestore
Google Firestore integration for documents, collections, queries, batch operations, and indexes
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Integration
MongoDB
MongoDB integration for document database management via MCP protocol
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Integration
MySQL
MySQL database integration for data management via MCP protocol
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Integration
PostgreSQL
PostgreSQL database integration for data management via MCP protocol
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Integration
Redis
Redis integration for caching and data storage via MCP protocol
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Integration
Snowflake
Snowflake integration for queries, databases, schemas, tables, warehouses, stages, tasks, and users
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What agents do with data, databases & storage tools
- Analytics agents that answer business questions with real SQL, not recall
- Data-quality agents that scan for schema drift and anomalies
- Report agents that assemble weekly metrics from the warehouse
- Migration assistants that draft and validate queries a human executes