Supabase for

your AI data stack.

Buster is an open-source alternative to Fivetran, Snowflake, dbt Cloud, and Tableau - all in a single platform. With it, you can spin up your entire data stack in a day & deliver AI analytics at scale.

Product Dataset

acmeanalytics_db

order_id

category_id

total_sales_amount

unit_price

avg_purchase_frequency

Orders & Sales

bluth_company_db

order_id

total_sales_amount

unit_price

product_id

region_name

show me our sales by product

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100

200

300

400

Fivetran alternative

Connect datasources & load data into one place

Use our connectors to move & sync data into one location, in real-time.

Snowflake alternative

Use our blazing-fast, headless data warehouse

Query data at massive scale, in milliseconds (and for way cheap).

dbt alternative

Transform your data into datasets with our AI Copilot

Use our AI Copilot to transform raw data into analytics-ready datasets.

Tableau alternative

Give everyone a modern, AI-powered BI tool

Enable business users to explore data on their own, with text-to-sql.

The all-in-one AI data platform, built for modern companies. Designed & crafted for engineers that love a first-class developer experience.

How it works.

Connect your data

Buster seamlessly integrates with whatever data stack you currently have. We connect to all major databases & data warehouses (including Redshift, Snowflake, BigQuery, Clickhouse, Databricks, MySQL, Postgres, MotherDuck, and more).

SaaS connectors coming soon...

Powered by

One-click deploy a blazing-fast data warehouse

Our headless data warehouse is built on StarRocks, Apache Iceberg, & object storage. It’s really, really fast.

StarRocks

200ms response times

StarRocks dominates performance benchmarks. With StarRocks, average query response times are 200ms. It’s also serverless & built for real-time analytics.

Apache Iceberg

Used by the best companies

Over the past 2 years, the worlds best companies have been migrating their analytics to Apache Iceberg. It’s faster, uses less compute, and is built for scale.

Object storage

90% cheaper than traditional storage systems

Buster utilizes object storage, which is significantly cheaper than traditional storage systems. By default, data is stored in an encrypted S3 bucket.

S3

Blob Storage

Auto-generate documentation

Buster ingests metadata from any tooling that you connect. All of this metadata is cleaned, enriched, and turned into documentation by LLMs. Documentation can be referenced by our LLM features in real-time (RAG), making them context-aware of your data structures.

Rapidly build datasets, with help from AI

Use our AI copilot to rapidly create LLM-ready datasets. Our AI copilot is context-aware of your data structures and can help you build robust datasets in minutes. You can also use existing models in dbt.

Enable anyone to explore data with natural language

Enable business users to query data on their own, using plain english. Business users can build dashboards, schedule reports, and more - with a modern, friendly UX.

Version control & Git

All of your metadata, datasets, and more live in Git. This makes it easy to version control documentation, datasets, and more. You can even sync Buster with existing repos.

Dependency management

Buster automatically tracks dependencies between your schema, datasets, metrics, and dashboards. Whenever there is a breaking change, we use LLMs to fix impacted dependencies throughout the stack.

Seamlessly integrate with dbt

Buster automatically syncs model and metadata changes from dbt with your datasets & documentation in Buster. You can also push datasets created in Buster to DBT, creating a new pull request in your git repo.

Analytics that don’t break

Keep your data clean, reliable & optimized

Manage versions in Git, merge LLM-suggested fixes & seamlessly sync with dbt.

Auto-suggested dataset & documentation edits

Buster automatically detects missing documentation & dataset improvements - then creates a proposed edit. Proposed edits can be discarded, altered, or approved by you.

Evaluate text-to-SQL performance

Get full visibility into how LLM-powered analysis is performing. Automatically detect low-confidence SQL queries, document fixes, and improve accuracy over time.

Open-source & built for enterprise scale.

Open source, free to use

docker run -d -p 3000:3000 buster/buster will spin up your free open source instance right now. Or, you can be up in seconds with one of our cloud-hosted plans.

Bring your own storage

By default, query results and datasets are stored in our encrypted S3 bucket but you can also use your own S3, GCP or Azure storage.

Intelligent caching

Our intelligent cache uses in-database and in-memory compute to load query results and dashboards instantly.

Query safety and permissioning

Every query generated by Buster undergoes rigorous parsing and security analysis before execution.

Secure credentials storage

All credentials are encrypted and stored in a dedicated secrets manager. Credentials are encrypted at rest and in transit, ensuring they are well-protected.

SOC 2, HIPAA, & GDPR

Security is built into the fabric of our products, team, infrastructure, and processes. We are actively pursuing SOC 2 certification and GDPR compliance.

AI-powered analytics built for modern companies. Enable

everyone at your company to explore data on their own, with AI.

docker run -d -p 3000:3000 buster/buster

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