Outerbase AI

Outerbase AI helps engineers, researchers, and analysts query and explore databases using natural-language requests. Its EZQL assistant can generate queries, charts, and dashboards, using the current database schema as context. The AI query editor can also repair broken queries and optimize results. Outerbase connects to Postgres, MySQL, SQLite, MongoDB, ClickHouse, Microsoft SQL Server, Snowflake, Google BigQuery, and Amazon Redshift, with integrations for DigitalOcean, Neon, Turso, and Cloudflare. Data remains in the customer’s database; Outerbase stores an encrypted version of the schema for AI features. Listed security controls include two-factor authentication, database-role access, AES/RSA encryption, SSH tunneling, and private AI models that are not trained on customer data. The Free plan is free and includes up to 5 users, 1 base, 10 EZQL queries per month, 3 saved queries, and 1 dashboard for transactional databases. Hobby is $9 a month and Pro is $30 a month, each per user and billed annually. Self-hosting is available only to Enterprise customers.

It suits database users who want to create queries and visualizations with natural-language prompts. Teams needing self-hosting must be Enterprise customers.

The Free plan allows up to 5 users, 1 base, 10 EZQL queries per month, 3 saved queries and 1 dashboard, with transactional databases only. Hobby allows up to 10 users and 100 EZQL queries monthly; Pro lists up to 1,000 EZQL queries and unlimited users, saved queries and dashboards. Self-hosting is restricted to Enterprise.

Overview

Outerbase AI is a database workspace for engineers, researchers, and analysts who want to ask questions of their data in ordinary language. Its strongest appeal is the path from a database question to a query, chart, and dashboard in one product; the free tier’s small monthly allowance makes it better for trying that workflow than relying on it heavily.

Key features

Query assistance with database context

EZQL can turn natural-language requests into queries, charts, and complete dashboards, drawing on the database’s current schema when it answers. That context makes it a more relevant choice for people working against a specific database structure than a query assistant without schema awareness. The AI editor can also draft queries, repair broken ones, and optimize query results, which gives experienced users help with refinement as well as first drafts.

Outerbase can visualize datasets and generate charts inside AI conversations. This keeps analysis and presentation close together, though trend detection and explanation is still a planned feature rather than something to depend on now.

Database access and security

Connections cover Postgres, MySQL, SQLite, MongoDB, ClickHouse, Microsoft SQL Server, Snowflake, Google BigQuery, and Amazon Redshift. Integrations include DigitalOcean, Neon, Turso, and Cloudflare. That range suits teams with varied database environments, but the Free and Hobby plans support transactional databases only; access to all databases starts with Pro.

Outerbase states that it is SOC 2 Type 2 and HIPAA compliant. Its controls include two-factor authentication, database-role access, AES/RSA encryption, SSH tunneling, and private AI models that are not trained on customer data. Customer data stays in the customer’s database, while Outerbase stores an encrypted copy of the schema for AI features. Self-hosting is reserved for Enterprise, so organizations that require an on-premises or private deployment must budget for that tier.

Pricing

Outerbase uses a freemium model. The free option is useful for a limited evaluation, but its query, user, and dashboard caps are restrictive for ongoing shared work.

• Free — free: Up to 5 users, 1 base, 10 EZQL queries per month, 3 saved queries, and 1 dashboard; transactional databases only. It is a sensible way to assess the workflow, not a generous production allowance.
• Hobby — $9 a month, per user, billed annually: Up to 10 users, unlimited bases, 100 EZQL queries per month, 25 saved queries, and 5 dashboards; transactional databases only. This removes the one-base restriction and raises the caps, but the monthly AI quota and database limitation still constrain broader use.
• Pro — $30 a month, per user, billed annually: Unlimited users and bases, up to 1,000 EZQL queries, unlimited saved queries and dashboards, and all databases. It is the clearest fit for teams that need broader database support or more room to build and share analysis; the per-user annual billing makes seat count a material cost.
• Enterprise — custom pricing: HIPAA and SOC 2 compliance, priority support with a dedicated team, custom AI models, prompt fine-tuning, private cloud deployments, and audit trails and activity logs. It is the option for organizations needing those controls or self-hosting, rather than a cost-transparent step up from Pro.

Platforms

Outerbase is available on the web and through API, with desktop apps for Macs using M1 or newer chips and modern Windows devices. Self-hosting is listed as an option only for Enterprise customers, which makes the lower tiers a poor fit where deployment control is a requirement.

Who it's for

Outerbase is strongest for database users who want natural-language query help and a direct way to turn results into charts and dashboards. Teams with supported transactional databases can begin on Free or Hobby; teams using the full range of supported database types need Pro. Organizations requiring private cloud deployment, self-hosting, or Enterprise controls should consider Enterprise pricing, while casual users may find the free query cap too low for regular use.

Pros and cons

• Pro: Schema-aware EZQL can generate queries, charts, and dashboards, keeping question answering and presentation connected.
• Pro: Broad database coverage includes both transactional systems and analytics platforms such as Snowflake and BigQuery, available on Pro.
• Pro: Security controls include role-based database access, SSH tunneling, and private AI models that are not trained on customer data.
• Con: Free provides only 10 EZQL queries a month and one dashboard, limiting its usefulness beyond evaluation.
• Con: Hobby remains limited to transactional databases, so users who need all supported databases must pay for Pro.
• Con: Self-hosting is Enterprise-only, and Enterprise uses custom pricing, which may rule it out for teams with deployment requirements but limited budgets.

Alternatives

For a broader starting point, browse AI SQL Generators or AI Database Assistants. Choose QueryPlane if its free allowance of 50 AI prompts a month and self-hosted option better suit a smaller deployment. Wren AI is worth considering if an open-source context engine used through CLI and MCP, without a UI, is the priority. Natural Language SQL is a fit for someone seeking a free, GPL-3.0 open-source project for local installation. Text2SQL.ai is an alternative with API access and a stated allowance of 100 requests a month on its Pro plan. SQL Mocker offers a web-based Explore plan with 50 AI queries total for one user. NatureQuery may suit someone who wants a free plan with 50 monthly queries, one database connection, and Excel and CSV export. SQLer is another freemium option with a free allowance of 50 NL2SQL queries a month. mnemiq is a free, open-source engine that runs in your own environment.

Verdict

Choose Outerbase AI if you work with databases and want schema-aware natural-language query help alongside chart and dashboard creation. Its integrated workflow and range of connections are compelling, but the free plan is tightly capped, all-database support starts at Pro, and self-hosting requires Enterprise; look elsewhere if those limits or deployment terms do not suit your needs.

Outerbase AI combines natural-language database querying with chart and dashboard creation. Check the free-plan limits and Enterprise-only self-hosting requirement against your deployment needs.