Bodo is a SQL and Python data processing platform powered by advanced compilers and MPI parallelization technologies. Bodo fits into your existing data stack so you can quickly get up and running—while keeping what works in place.
The Bodo compiler and MPI parallelization technologies were developed through years of R&D. Bodo is architecturally up to 20x more efficient than existing data warehousing and Spark data processing engines.
Take a peek under the hoodAre large data transformations and joins resulting in long-running and expensive SQL/Python jobs? Bodo's parallel architecture provides the most efficient design for query execution, resulting in far shorter query run times and greatly reduced cloud spending.
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Bodo's fast data transformations will help you meet or exceed even the most stringent SLAs across a variety of data use cases. Deliver the freshest data to your analytics teams for better, faster data-driven decision-making.
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Data engineers can focus on developing, validating, and testing their data transformation workloads—instead of being bogged down by manual query or infrastructure performance tuning. Speed up development cycles, streamline developer workflows, and enable collaboration through shared workspaces.
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When used together, Bodo and Snowflake is an optimal solution that achieves the lowest cost and the highest performance.
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