Outerbase

Outerbase is a database interface for teams to query, edit, visualize, and organize data in one place. Connect SQL and NoSQL databases with AI-assisted workflows.

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Overview

Outerbase is a database interface for managing, exploring, and presenting data across connected SQL and NoSQL sources. The product combines a table editor, AI assistant, dashboards, and a data catalog so teams can work with data in one place.

Its workflows center on querying data, editing tables, generating charts, and sharing dashboards or embeddable components. The site also positions the product for teams that need privacy controls and workspace collaboration, with pricing tiers that scale from a small free plan to paid plans and enterprise options.

Core features

Table editor

Work with database tables in a spreadsheet-like interface that is built for speed, responsive navigation, and keyboard use.

Table controls

Sort columns, apply no-code filters, hide columns, search with shortcuts, browse tabs, and export data as CSV or JSON.

AI assistant

Use EZQL to generate queries from natural language, fix broken SQL, optimize queries, and create charts or dashboards from conversations.

Dashboards and charts

Build dashboards from scratch or let AI assemble them, then customize chart type, colors, legends, labels, and callouts.

Data catalog

Define business terms, view relational diagrams, and create virtual relationships to help teams understand how data connects.

Database connectivity and embedding

Connect to multiple database types and embed tables or charts using Outerbase's open-source web components.

Common use cases

Browse and clean table data
Use the table editor to inspect records, sort and filter columns, search across tables, hide noise, and export results for follow-up analysis.
Query data with AI help
Ask EZQL questions in natural language to generate queries, repair query mistakes, and turn results into charts or dashboard views.
Create and share dashboards
Build dashboards from SQL or NoSQL data, then tune chart types, labels, colors, legends, and callouts for reporting.
Document and explain data models
Define business terms, view relational diagrams, and add virtual relationships when a team needs a clearer picture of how data connects.
Reuse data views in other apps
Embed tables or charts in other products or internal tools using open-source web components instead of iframes.

Pros and Cons

Pros

Combines table editing, AI query help, dashboards, and data cataloging in one interface.
Supports both SQL and NoSQL databases, with multiple database names listed on the site.
Offers no-code table operations such as filtering, sorting, hiding columns, searching, and exporting.
Provides embedding options through open-source web components for tables and charts.
States that customer data stays in the user's own database, with only an encrypted schema stored for AI features.

Cons

Some AI capabilities are described as coming soon on the product pages, such as trend analysis.
Self-hosting is only listed for Enterprise customers.
The source does not provide full documentation for every supported integration or workflow on the pages reviewed.

FAQ

What databases does Outerbase support?

Outerbase can connect to a range of SQL and NoSQL databases, including Postgres, MySQL, SQLite, MongoDB, ClickHouse, Microsoft SQL Server, Snowflake, Google BigQuery, and Amazon Redshift. The pricing page also lists SQLite, Postgres, MySQL, Microsoft SQL Server, Snowflake, BigQuery, and Redshift in plan comparisons.

How are users counted in a workspace?

The pricing page says anyone you invite to your workspace counts as a user, and it does not differentiate between editors and read-only users.

Where is data stored?

Outerbase keeps your actual data in your own database. It stores an encrypted version of your schema to enable AI capabilities.

Can Outerbase be self-hosted?

The pricing page says Enterprise customers can request self-hosting. For non-Enterprise plans, self-hosted deployment is not listed as available.

What is Outerbase used for day to day?

The product pages show AI-assisted query generation, chart creation, dashboard building, table editing, and a data catalog for business terms and relationships.