Open source & built for data teams

Let people explore data on their own, with AI.

Let people explore data on their own, with AI.

Let people explore data on their own, with AI.

Let people explore data on their own, with AI.

Buster is an open-source analytics platform, built from the ground up with AI in mind.

Buster is an open-source analytics platform, built from the ground up with AI in mind.

Buster is an open-source analytics platform, built from the ground up with AI in mind.

Buster is an open-source analytics platform, built from the ground up with AI in mind.

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Get started

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Get started

Watch a demo

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Home

Collections

Workspace

Metrics

Dashboards

Datasets

Terms & definitions

Recent threads

Who are our top customers based on

How long does it take to ship a package

show me the best selling products in

line chart of our top categories in the

how old is tom hanks compared to b

Try

Invite people

Company KPIs

Add content

Company KPIs

A quick overview of our key metrics and performance indicators, mostly about banana sales.

Cumulative Daily Revenue

Jan 1, 2024 - Jan 31, 2024

•

what was our cumulati…

$218.1K

Total Sales

Jan 1

Jan 31

Total Sales by Category

Last 30 days

•

break down our total sales for the l…

$218.1K

Total Sales

Total Revenue by Brand

Last 7 days

•

show me my product total sales ov…

MoM Sales by Sales Rep

Last 6 months

•

show me month over month sales for the last six month but br…

Tobias

$317,921

Gob

$301,039

George Michael

$225,319

Michael

$221,289

Lucille

$203,187

August

September

October

November

December

January

SKU Report: Total Sales and Percent Growth

Last 30 days

•

create a report of our total sales and % growth for each SKU ov…

Name

Nate Kelley

Blake Rouse

Gregory

Dallin Bentley

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Another name

SKU

SKU-0959

SKU-0973

SKU-0183

SKU-1182

SKU-1115

SKU-0174

SKU-0183

SKU-0210

SKU-1197

SKU-0717

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Product

Chiquita Cavendish

Dole Cavendish

Goya Plantain

Frieda’s Burro

Chiquita Plantain

Chiquita Lady Finger

Dole Red Banana

Del Monte Cavendish

Tropicana Orange Juice

Free-Range Eggs

Another name

Another name

Another name

Another name

Another name

Another name

Another name

Total Sales

$4,259

$4,227

$4,165

$4,054

$3,822

$3,801

$3,712

$3,709

$3,702

$3,675

1.3

1.3

1.3

1.3

Another name

Another name

Another name

% Growth

1.47%

8.11%

0.11%

8.05%

6.53%

-3.60%

-8.17%

-7.94%

2.64%

9.00%

Various Items

Various Items

Various Items

Various Items

Another name

Another name

Another name

Spin up your AI-powered reporting platform in minutes.

Connect your data

Connect your data stack to get started

Connect your existing data stack using our pre-built connectors.

Build a dataset

Rapidly build datasets with our AI Copilot

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

Connect your data

Connect your data stack to get started

Connect your existing data stack using our pre-built connectors.

Build a dataset

Rapidly build datasets with our AI Copilot

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

Connect your data

Connect your data stack to get started

Connect your existing data stack using our pre-built connectors.

Build a dataset

Rapidly build datasets with our AI Copilot

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

Use our data warehouse

Replicate datasets into our blazing-fast warehouse

Replicate & sync your datasets to query billions of rows in milliseconds.

Query data with plain english

Give everyone a reliable, AI-powered BI tool

Enable business users to explore data on their own, with plain english.

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

0

100

200

300

400

How it works.

How it works.

Spin up your AI analytics in minutes, then scale on auto-pilot.

Spin up your AI analytics in minutes, then scale on auto-pilot.

Connect your data

Buster seamlessly integrates with whatever data stack you currently have. We connect to all major databases & data warehouses.

Common SaaS connectors are coming soon & will be powered by

&

Rapidly build datasets, with help from AI

Use our AI copilot to quickly create AI-ready datasets. Our copilot is context-aware of your data structures and can help you build robust datasets in minutes. You can also use existing models or views in dbt, LookML, Cube, etc.

generate a dataset for the rev ops team. it should be able to answer questions about stripe invoices and pipeline info from our crm

generate a dataset for the rev ops team. it should be able to answer questions about stripe invoices and pipeline info from our crm

generate a dataset for the rev ops team. it should be able to answer questions about stripe invoices and pipeline info from our crm

generate a dataset for the rev ops team. it should be able to answer questions about stripe invoices and pipeline info from our crm

Enable anyone to explore data with natural language

Enable business users to query data on their own, with text-to-sql. Users can build dashboards, schedule reports, and more - with a modern UX.

Auto-select

Search for a metric...

Auto-select

Search for a metric...

Auto-select

Search for a metric...

Auto-select

Search for a metric...

AI-powered tools for you data workflows

Keep your data clean, reliable & governed

Auto-generate documentation, manage versions in Git, merge LLM-suggested fixes, seamlessly sync with dbt & more.

Auto-generate documentation

Auto-generate documentation

Auto-generate documentation

Auto-generate documentation

Buster ingests metadata from your entire data stack. All of this metadata is cleaned, enriched, and turned into documentation by reasoning (chain-of-thought) LLMs. Documentation is managed by you and can be referenced by our LLM features in real-time (RAG).

Buster ingests metadata from your entire data stack. All of this metadata is cleaned, enriched, and turned into documentation by reasoning (chain-of-thought) LLMs. Documentation is managed by you and can be referenced by our LLM features in real-time (RAG).

Buster ingests metadata from your entire data stack. All of this metadata is cleaned, enriched, and turned into documentation by reasoning (chain-of-thought) LLMs. Documentation is managed by you and can be referenced by our LLM features in real-time (RAG).

Buster ingests metadata from your entire data stack. All of this metadata is cleaned, enriched, and turned into documentation by reasoning (chain-of-thought) LLMs. Documentation is managed by you and can be referenced by our LLM features in real-time (RAG).

Created new term & definition

View: c_suite_model

Recorded new text-SQL pair

Metric: Customer Purchases by Product Category

Updateddefinition

Notebook: 30_day_product_analysis

Updated column description

Notebook: 30_day_product_analysis

Updated column description

View: c_suite_models

Created new term & definition

View: c_suite_model

Recorded new text-SQL pair

Metric: Customer Purchases by Product Category

Updateddefinition

Notebook: 30_day_product_analysis

Updated column description

Notebook: 30_day_product_analysis

Updated column description

View: c_suite_models

Created new term & definition

View: c_suite_model

Recorded new text-SQL pair

Metric: Customer Purchases by Product Category

Updateddefinition

Notebook: 30_day_product_analysis

Updated column description

Notebook: 30_day_product_analysis

Updated column description

View: c_suite_models

Created new term & definition

View: c_suite_model

Recorded new text-SQL pair

Metric: Customer Purchases by Product Category

Updateddefinition

Notebook: 30_day_product_analysis

Updated column description

Notebook: 30_day_product_analysis

Updated column description

View: c_suite_models

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 & dashboards. Whenever there is a breaking change, Buster uses LLMs to fix impacted dependencies throughout your 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.

Average Confidence Score

Last 30 days

94.5%

Low confidence queries (9)

Name

Nate Kelley

Blake Rouse

Gregory

Dallin Bentley

Another name

Another name

Another name

User

Aaron Epstein

Nicolas Dessaigne

Brad Flora

David Lieb

Gustaf Alstromer

Tom Bloomfield

Paul Graham

Dataset

Revenue & Sales Rep Perf

Product, Usage & Revenue

Support & Customer Info

Product, Usage & Revenue

Product, Usage & Revenue

Revenue & Sales Rep Perf

Various Items

Question

which customers buy th emost

show me my sales broken down by product category by month for the last 12

Who are our top customers.

Who are our top customers.

Various Items

Various Items

Various Items

SQL

WITH recent_sales AS (

WITH monthly_sales AS (

SELECT * FROM orders

SELECT * FROM orders

Various Items

Various Items

Various Items

Notes

Uncertain if orders can

Unable to id

Uncertain if orders can

Uncertain if orders can

Various Items

Various Items

Various Items

Measure text-to-sql accuracy

Get full visibility into how your text-to-SQL is performing. Identify performance gaps, quickly push fixes, & continuously improve accuracy over time.

Inbox

Update "Rev from Ops" definition

Update term & definition

1hr

Update "Rev from Ops" definition

Update term & definition

1hr

Update "Rev from Ops" definition

Update term & definition

1hr

Update "Rev from Ops" definition

Update term & definition

1hr

Add "frequency_score" to "RevOps" dataset

Add column to dataset

1hr

Add "frequency_score" to "RevOps" dataset

Add column to dataset

1hr

Add "frequency_score" to "RevOps" dataset

Add column to dataset

1hr

Add "frequency_score" to "RevOps" dataset

Add column to dataset

1hr

Update "on_target" column description

Update column description

3hr

Update "on_target" column description

Update column description

3hr

Update "on_target" column description

Update column description

3hr

Update "on_target" column description

Update column description

3hr

AI-suggested fixes & optimizations

Buster automatically detects performance gaps and suggests metadata improvements. Proposed improvements can be denied, edited or merged by you.

Open-source & built for any scale.

Open-source & built for any scale.

Open-source & built for any scale.

Open source, free to use

Check out our Github repo and deploy your free open source instance. Or, be up and running in seconds with our cloud-hosted plan.

Check out our Github repo and deploy your free open source instance. Or, be up and running in seconds with our cloud-hosted plan.

Bring your own storage

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

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

Robust governance

Set clear permissions to implement access controls across datasets, groups, teams, and more.

Set clear permissions to implement access controls across datasets, groups, teams, and more.

Query safety and permissioning

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

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.

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.

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

Only pay for what you use. Buster comes with unlimited seats.

Spin up your AI-native data stack in minutes.

Get started

Get started

Get started

Get started

Pricing

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Copyright © 2024 Sprint Labs, Inc

All rights reserved.

For data teams

Github

Pricing

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For data teams

Github

Pricing

Legal

Copyright © 2024 Sprint Labs, Inc

All rights reserved.

For data teams

Github

Pricing

Legal

For data teams

Github

Pricing

Legal