MindsDB - Enterprise Data Platform for AI
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MindsDB Brief overview
MindsDB is an AI data layer that connects to your existing data sources (databases, warehouses, and some SaaS apps) and makes them queryable with AI—without forcing you to move or duplicate data into a new system. Instead of building separate pipelines for analytics, semantic search, or LLM-powered Q&A, MindsDB sits between your data and your applications so you can unify information and get answers using a SQL-first workflow (and, in some setups, a chat-style interface).
A common way to think about MindsDB: it helps you connect data from multiple places, unify it into a single queryable layer (including structured tables and unstructured documents), and then respond with predictions, analysis, and natural-language answers using models you bring (or models that are managed for you in their cloud plans).
Simple how-to-use
- Pick a deployment option
- Open Source (self-hosted): run locally or on your own server (often via Docker).
- Cloud plans: use MindsDB-hosted infrastructure if you want managed operations and more production features.
- Connect your data source
- Add a connection to a database/warehouse using MindsDB’s SQL interface (for example, connecting PostgreSQL/MySQL/BigQuery, depending on your plan and setup).
- Unify data for AI access
- Create a knowledge base to combine structured data (tables) with unstructured data (docs, web pages, files), so AI can retrieve the right context when answering questions.
- Use AI to respond over your data
- Ask questions in natural language (where supported) or use SQL-driven workflows to produce answers.
- If you want predictive outputs, create and train models using SQL-style commands (for forecasting, classification, regression, or LLM-style responses).
- Integrate with apps and workflows
- Use MindsDB as the “AI interface” your internal tools, dashboards, agents, or services query to get consistent, governed answers.
MindsDB Key features and functions
- Federated querying across sources: query and combine data from multiple systems without building heavy ETL pipelines.
- SQL-first control plane: connect sources, define AI behaviors, and manage models using a database-like interface.
- Knowledge bases for RAG: store and search unified context across structured and unstructured data for more relevant answers.
- AI agents / natural language experience: support for “chat with your data” style interactions in addition to SQL.
- Model creation and training via SQL: build regression, classification, time-series forecasting, and LLM-style models.
- Bring your own LLM (or use managed options): flexibility to choose providers and models depending on deployment.
- Deployment flexibility: self-hosted (local/server/container) or enterprise deployments (on-prem / VPC), depending on plan.
- Governance and production controls (plan-dependent): features like RBAC, limits, observability, and collaboration for teams.
Pricing
- MindsDB Open Source:Free to use (self-hosted). Typically oriented toward prototyping and individual/local projects, with BYO-LLM and more manual integration/management.
- Pro (Cloud):Starting at $35/user/month (billed monthly; cancel anytime). Includes 250 queries/month, up to 3 connected data sources, and supported integrations listed on the pricing page (including PostgreSQL, MySQL, MS SQL Server, Google BigQuery, Salesforce, Snowflake), plus managed LLMs and an analytics UI.
- Teams (Cloud):Starting at $4,000/month. Includes 50 users, 10,000 queries/month, up to 10 data sources, collaboration on reports, RBAC, and data lineage/observability (and includes everything in Pro).
- Enterprise (Deploy Anywhere):Contact sales for pricing. Designed for large-scale deployments with options like on-prem/VPC deployment, enterprise support, customizable UI/OEM needs, and custom limits/integrations.
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