Bodo is working to create a single data processing workflow orchestration platform for all data types, whether they be media, tabular, or semi-structured. Today, coding and processing for different data types are entirely separated. In the future, the Bodo dynamic parallel computing architecture will optimize the allocation and parallelization of hardware for all types of data processing scenarios and on all types of data platforms.
Bodo partners with leading data platforms to provide a high-performance analytics engine for their customers.
Snowflake and Bodo are working together to provide optimized parallel computing for analytics using Snowflake Data Cloud. Our integrated solution simplifies access to exceptional performance in data processing and machine learning (ML) for data engineers and data scientists while reducing overall analytics costs.
Dremio is an easy and open lake house platform. Data teams use Dremio to deliver self-service analytics while enjoying the flexibility of using Dremio's lightning-fast SQL query service and a processing engine like Bodo on the same data. Together, Dremio and Bodo deliver high performance at a low cost.
Saturn Cloud helps provision data science and machine learning in the cloud—with exactly the hardware and software professionals want. Bodo provides Saturn Cloud users with a new, highly-performant, and efficient environment for deploying large-scale compute and analytics projects.
Bodo partners with hardware manufacturers to help extract maximum parallel execution performance.
AMD and Bodo are collaborating to develop software technology that simplifies Python-based access to highly-efficient media processing. Media workflow developers will benefit from the simplicity of native Python while accessing the highest levels of accelerated performance available from FPGA hardware.
Bodo’s technology roots are based in open source projects. We remain staunch supporters of a wide range of OSS technologies.
Consortium for Python Data API Standards aims to create standard APIs for Python data structures such as arrays and data frames, which are critical for data science and machine learning users and applications. The goal is to enhance API portability, interoperability, and amenability to optimization and JIT compilation. As an active member of the consortium, Bodo shares expertise on real data applications and infrastructure, as well as JIT compilation and optimization.
Numba is a JIT compiler toolkit for building high-performance compilers and libraries in Python and is key infrastructure for Bodo’s compute engine. Bodo’s user-facing JIT decorator and workflow are built on top of Numba’s JIT implementation. In addition, Bodo uses Numba to interface Python and LLVM and reuses Numba’s implementations of Python/Numpy basics. Bodo relies heavily on Numba, and our engineers regularly contribute to the project. We also sponsor Numba through OpenTeams to help with the community-driven development and maintenance of the project.
Bodo is an Institutional Partner for pandas, with direct support for the project through NumFOCUS. Bodo’s platform uses, rather than replaces, the pandas API, allowing users to upscale their data analytics while keeping their production data pipelines simple—all while in native Python. Bodo works directly with pandas core developers to improve pandas for data engineering and ETL use cases and make Pandas APIs more robust and more amenable to optimization.
Quansight helps customers access the power of open source technologies while sustaining the communities that create them. Bodo and Quansight have partnered to provide superior customer implementation support, customization, and consulting services, especially for technologies in the PyData and NumFOCUS ecosystems, such as pandas, NumPy, SciKit Learn, Jupyter, Numba, and others.
Bodo works with best-in-class firms to provide training, onboarding, and consulting services to customers.
OpenTeams and Bodo work closely together to develop training, onboarding, and educational materials specifically for data engineers and data scientists adopting Bodo. OpenTeams subject-matter expertise includes a deep knowledge of Python, pandas, Numba, and more.