Which data sources and systems are supported today?
Ten databases and warehouses are live, including PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Snowflake, BigQuery, Teradata, Cassandra and Amazon S3, alongside API connectors and direct file upload.
Databases and warehouses, live
PostgreSQL, MySQL, MongoDB, Oracle, SQL Server, BigQuery, Snowflake, Teradata, Cassandra, and Amazon S3.
In development
Redis, Kafka, Databricks, Spark, and dbt.
Business systems over API, live
Salesforce, HubSpot, Shopify, Stripe, Google Analytics, Google Sheets, Amazon Seller, and a generic REST connector for anything not on the list. Zendesk and GitHub are in development.
Files
CSV, Excel, Parquet and JSON, dropped in directly. Schema inference previews columns and types before the load, you pick the primary key, and a re-upload upserts rather than duplicating.
The part that matters more than the list
A real estate is never one system. A Postgres application database, a cloud object store and a spreadsheet somebody maintains by hand can sit in the same workspace and be queried together, which is usually the question that no existing dashboard can answer.
Where this comes from
See it against your own data
A pilot is scoped to one governed use case and time-boxed to eight to twelve weeks, with success criteria agreed before it starts.
Get started freeRelated questions
- What is dataface.ai?dataface.ai is on-source conversational analytics. Ask a question in plain English, and it generates read-only SQL from your schema metadata and runs it on the systems you already own. No warehouse copy, no pipeline.
- How do you run analytics without moving our data?dataface.ai reads your schema and a few example values per column, generates read-only SQL, and executes it on the source system itself. Your tables are never copied: no pipeline, no warehouse copy, no second place to secure.
- What does the LLM actually see from our data?By default the model sees your catalog: table names, column names, types, and a few example values per column. It never receives your tables, and it only sees query results if a user turns on AI analysis.
- How do you stop an AI from writing to or damaging our database?Generated SQL is SELECT-only. INSERT, UPDATE, DELETE and DDL are blocked, queries are parameterized against injection, and every request passes both a workspace gate and a datasource gate.