What is GlareDB?

Data lives everywhere, as files on laptops, servers, and S3, or in other database systems like Postgres, Snowflake, and [MongoDB]. Data lives in many formats, like [Excel], [CSV] and [Parquet]. And this is just the beginning. GlareDB is a tool that recognizes that it makes sense to store and work with data in different systems, and provides a system for querying, manipulating, and storing data in the best way possible.

GlareDB makes all of your data SQL addressable, no matter what form it’s in So you can query (and JOIN!) and manipulate your data using standard tools that you may already know.

How do I get it?

If you’re working with data from Python or Node.js, you can get a complete GlareDB with just:

pip install glaredb


npm install glaredb

You can install an interactive terminal program glaredb with:

curl https://glaredb.com/install.sh | sh

You can sign up for [GlareDB Cloud], which provides fully managed and entirely serverless deployments via the PostgreSQL protocol.

Don’t worry! If you start using the embedded version of GlareDB and later outgrow the confines of your laptop (or edge function!) moving to GlareDB Cloud just requires adding a connection string!

See the Getting started guide for more!

Where does GlareDB fit into your stack?

Where GlareDB fits

Wherever you need it too! GlareDB brings a complete, fully featured data analytics engine to wherever you’re working with data. Use GlareDB to:

  • query local Excel and CSV files and join them with remote Parquet and JSON files.

  • join tables from PostgreSQL and Snowflake, with data from MongoDB collections.

  • write the output of any query to GlareDB-native storage for quick and easy access letter.

  • copy data between MongoDB and Postgres to Snowflake or GlareDB-native storage.

  • pass data from your data sources to DataFrame libraries in Python like Pandas and Polars.

  • explore data from the command line or your favorite notebook.

See the Working with GlareDB in Python blog post and Examples page for more examples.

What is a Data Source?

A data source is something that you can query in GlareDB: local files, database system, files in blob storage like S3 or GCS, sometimes it’s an arbitrary HTTP endpoint.

Learn more about data sources.


GlareDB is open source and is freely available to install and use. Get started at github.com/GlareDB/glaredb.

You can run GlareDB locally and in Python.

GlareDB Cloud is a fully managed serverless GlareDB service. In addition to everything from the core GlareDB engine, it provides additional features for access management and compute resources that scale with your use. There’s no cold-start and no resource allocation. GlareDB Cloud is available to everyone with a free tier. Get started at console.glaredb.com.

See our Pricing page for more details on available plans.

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