Build internal automation and workflows without hand-coding
Retool is a low-code internal tooling and automation platform that lets engineering and ops teams assemble apps from prebuilt UI components and live data sources. It’s ideal for engineers and product teams who need to ship internal dashboards, admin panels, and automation quickly while maintaining database and API control. Pricing scales from a free/self-hosted developer tier to paid Team and Enterprise plans for SSO, audit logs, and dedicated support.
Retool is a low-code Automation & Workflow platform for building internal tools and business apps by wiring together databases, APIs, and UI components. It provides a component library (tables, forms, charts), direct database and REST/GraphQL connectors, and a JavaScript-based editor so engineers control logic while accelerating delivery. Retool’s key differentiator is that it runs on your data — connecting securely to Postgres, MongoDB, Snowflake, and third-party APIs without data export. It serves engineers, product managers, and ops teams; pricing includes a free developer option and paid Team/Enterprise tiers for org-scale features.
Retool is a low-code platform founded to help engineering teams build internal applications faster by assembling prebuilt components and wiring them to live data sources. Launched by a San Francisco–based company, Retool positions itself as the developer-centric internal tools layer: it combines a drag-and-drop component palette with an embedded JavaScript editor so teams retain code-level control. The core value proposition is reduction in delivery time for admin panels, CRUD apps, and operational dashboards while keeping sensitive data behind company infrastructure or within cloud databases. Retool offers both a cloud-hosted service and a self-hosted option for customers needing VPC/private deployments.
Retool’s feature set centers on real connectors, UI components, and developer controls. Connectors: Retool ships native connectors for Postgres, MySQL, MongoDB, Redis, Snowflake, Google Sheets, REST, GraphQL, and SaaS APIs (Stripe, Slack). Components: drag-and-drop tables, charts, forms, dropdowns, and a built-in SQL query editor let you visually bind data to components; tables support server-side pagination and column-level editing. Logic & automation: each query and component can run JS transformers and event handlers; workflows can kick off via button clicks, webhooks, scheduled queries, or integrations with external task queues. Deployment & security: Cloud teams get SSO (SAML/SCIM), audit logs, row-level permissions, and the option to deploy Retool on VPC or self-host for stricter network boundaries.
Pricing is tiered with a free developer option and paid Team and Enterprise offerings. As of 2026, Retool offers a Free plan for individual developers with core builder access but limited seats and without SSO or enterprise features. The Team plan is priced per user per month (Retool lists Team pricing on-site — historically around $10–12/user/month for Starter but often updated; contact sales for exact current rates), adding SSO, more seats, and increased activity quotas. Enterprise pricing is custom and adds VPC/self-hosting options, dedicated support, audit logs, SCIM, and compliance features. Retool also provides a self-hosted pricing model and an option to trial team features — organizations should verify exact per-user rates and included query/usage quotas directly on retool.com/pricing.
Retool is used across operations and engineering workflows where internal apps must interact with live data. Example users include: Support Engineers using Retool to triage and resolve customer tickets by running filtered SQL queries and updating records in one interface, and Finance Analysts building reconciliations that join Snowflake queries with editable tables to reduce month-end close time. Product Managers also assemble feature-flag dashboards and operational monitors. Compared to competitors like Appsmith or Retool’s nearest rivals (e.g., Internal.io or Appsmith), Retool’s distinguishing tilt is its developer-focused JavaScript editor, broad enterprise connectors, and self-hosting options, making it a common pick when companies need DB-level control and SSO/audit capabilities.
Three capabilities that set Retool apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Single developer seat, cloud builder access, no SSO or audit logs | Individual developers experimenting or prototyping |
| Team | Contact sales (per-user monthly) | Multiple seats, SSO, higher usage quotas, team collaboration | Small engineering teams building internal apps |
| Enterprise | Custom | VPC/self-hosting, SCIM/SAML, audit logs, dedicated support | Large orgs needing compliance and dedicated support |
Copy these into Retool as-is. Each targets a different high-value workflow.
Role: You are a Retool app builder tasked with creating a simple CRUD admin panel for a Postgres users table. Constraints: use Retool Table and Form components only, implement server-side pagination, a single-row edit modal, search by name/email, parameterized SQL to avoid injection, and a delete confirmation. Output format: 1) Numbered step-by-step build instructions to implement in Retool. 2) JSON object listing components, key properties, and bindings. 3) Example SQL queries (SELECT with pagination, INSERT, UPDATE, DELETE) and how to wire them to buttons. Example SQL: SELECT * FROM users WHERE (name ILIKE {{'%' + textSearch.value + '%'}} OR email ILIKE {{'%' + textSearch.value + '%'}}) LIMIT {{pageSize}} OFFSET {{pageSize*(page-1)}}.
Role: You are implementing a Retool tool that lets operations upload a CSV, preview changes, validate, and commit bulk updates to a Postgres table. Constraints: accept CSV import, show parsed preview in an editable Retool Table, run client-side validation rules (required fields, email format, numeric ranges), show row-level validation errors, allow commit in batches (100 rows), and support optimistic UI with rollback on failure. Output format: 1) Step-by-step build checklist. 2) JSON mapping CSV columns to DB columns. 3) Example JavaScript snippets for parsing CSV, validation logic, batching updates, and sample parameterized UPDATE query.
Role: You are a Retool engineer designing an automated reconciliation job that compares two Snowflake tables nightly and alerts discrepancies to Slack. Constraints: job must be scheduled (cron), be idempotent, support retries with exponential backoff, minimize scanned data (use date partition keys), and send a summary to a Slack channel with a link to a Retool results page. Output format: 1) Cron schedule and Retool Task config JSON. 2) Optimized SQL to identify diffs with partition keys and sample parameters. 3) Alert payload JSON for Slack and retry policy settings. Example: provide SQL that joins table_a and table_b on primary_key and filters WHERE a.partition_date = '{{yesterday}}'.
Role: You are a product analytics engineer building a Retool dashboard to monitor feature-flag rollouts and key metrics in real time. Constraints: connect to a flag-events table (Postgres or analytics DB), provide cohort filters, show rollout percentage by environment, conversion funnel charts, and configurable threshold alerts that open a Slack/Email notification when conversion delta exceeds X. Output format: 1) JSON layout of dashboard components (tables, charts, filters) and bindings. 2) Sample SQL queries for flag exposure, cohort filter, and conversion rate. 3) JSON alert rules with threshold expressions and notification destinations. Example: conversion_rate = conversions/exposures over a rolling 24h window.
Role: You are an engineer designing a secure, multi-step approval workflow in Retool that integrates Postgres, Slack, and RBAC. Requirements: support submit → manager approval → finance approval → finalization; record immutable audit trail (who, when, action, diff), implement role-based buttons (visible/active per user role), send interactive Slack approval messages with approve/reject actions calling Retool API endpoints, and support escalation if approval stalls >48 hours. Output format: 1) End-to-end implementation plan with numbered steps. 2) SQL schema for approvals/audit tables and sample INSERT/UPDATE queries. 3) Retool workflow and API endpoint definitions, webhook payload examples, JS snippets for optimistic UI and conflict detection. Examples: include sample audit row JSON and Slack interactive message payload.
Role: You are an architect defining a secure multi-tenant data access model for Retool apps that enforces row-level security (RLS), environment separation, and least-privilege connectors. Constraints: support tenant isolation in Postgres/Snowflake via RLS policies, per-tenant API keys for third-party connectors, admin override audit logs, and a migration strategy for adding RLS to existing tables. Output format: 1) Architectural steps and migration plan. 2) Example SQL RLS policies, GRANT statements, and single-tenant connector config JSON. 3) Test matrix and sample queries to validate isolation (few-shot examples). Examples: show RLS policy SQL for CREATE POLICY tenant_isolation USING (tenant_id = current_setting('app.current_tenant')::int); and a test case where tenant A cannot read tenant B rows.
Choose Retool over Appsmith if you need enterprise SSO, self-hosting, and a JavaScript editor for complex logic.
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