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Enterprise Layer Intelligence
Categories/Data Platform & Integration/bodo.ai
bodo.ai

bodo.ai

Founded 2019

Run Python, Pandas, and SQL across distributed CPUs and GPUs without code changes

You can use Bodo to run Python, Pandas, and SQL workloads across distributed compute clusters using CPUs and GPUs. It lets your data engineering and analytics teams scale their existing data scripts without rewriting code or managing complex distributed systems. Through components like Bodo Engine and PyDough, teams can execute massive analytical queries and feed governed data into machine learning models and enterprise AI agents. It works with Apache Calcite execution plans to process large structured datasets quickly while keeping existing workflows intact.

What bodo.ai does

Run Pandas scripts across distributed clustersExecute complex SQL queries using Apache CalciteDeploy PyDough semantic definitions for AI modelsProcess multi-gigabyte datasets across CPUs and GPUsValidate analytical answers against semantic guardrailsBenchmark query performance against alternative enginesDistributed execution of native Python and Pandas scriptsGPU and CPU parallel processing without code modificationsSQL engine built on extended Apache Calcite componentsPyDough semantic layer for translating natural language questions into queriesDirect execution without moving or migrating enterprise dataBuilt on open source foundations under Apache 2.0 license

Frequently asked

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Bodo, Bodo Engine, PyDough, BodoSQL, Python, Pandas, SQL, distributed compute, Apache Calcite, GPU acceleration, multi-GPU analytics, data engineering, enterprise analytics, LLM semantic layer, text to SQL