For Data Engineers

Why Bodo is different

Bodo's founding team includes a few of the world’s leading HPC experts. Bodo brings HPC levels of performance and efficiency to data engineers without any new language API layers or performance tuning.

MPI parallelization and low-level code optimization

Bodo is natively parallel and makes nearly 100% efficient use of computing resources.

Vectorization and SPMD (Single Program, Multiple Data) concepts

These deliver lightning fast query speeds, and scales linearly to massive numbers (10,000’s) of cores.

Taking control with high performance scalable compute

Develop SQL/Python data applications at scale

Take advantage of the Bodo Compute Engine in interactive notebooks to work directly with Terabyte-scale data.
Mix and match SQL and Python, using native syntax without any new API layers.
Bodo's efficient connectors and integrations allow you to load and process terabytes of data in minutes, not hours.

Deploy and monitor jobs

Deploy data transform jobs using one-click job scheduling.
Manage and monitor your jobs and cloud resources easily in one place.
Turn your interactive notebooks into production jobs on dedicated job clusters from a simple UI.

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Manage your cloud resources and collaborate securely in one place

Use Bodo's integrated workspaces to foster collaboration through a secure, multi-user environment with organizational security features such as audit logs, API tokens, and more.
Utilize the Bodo platform's multi-cloud support to manage your data workloads in one place.
Enjoy the benefits of fine-grained resource control to manage your compute costs, with options such as controlling instance types, pausing, and scaling clusters.

Putting it all together

Scalable

Near linear scalability without significant costs
Smart data partitioning to optimize data locality and minimize data movement between nodes, reducing overhead of data communication
Avoids the bottlenecks and task overheads of distributed libraries
Simple scaling from the development environment to production

Flexible

Open standards, supports a variety of formats instead of a proprietary file format: Parquet, CSV,
Easily integrate with your existing data infrastructure with pre-built connectors to Snowflake and Iceberg
Multi-cloud support

Simple

Supports use of Python and SQL interchangeably without the need for complicated API layers like PySpark and hard-to-use database user-defined functions (UDFs)
Easy to get started with a PIP install and run examples from GitHub
Simplifies the process of cluster management by automatically configuring nodes
Support from a dedicated team of Bodo engineers

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