Parallel Computing For Extreme
Performance Data Analytics

Bodo is the platform to take your Pandas and SQL data analytics code directly to production
with extreme performance and massive scaling through automatic under-the-hood parallelization.

OVERVIEW VIDEO
VIEW DEMO
@bodo.jit
def data_transform():
  df = pd.read_parquet(input_parquet_file)
  df["B"] = df.apply(lambda r: "P1" if r.A.month < 5 else "P2", axis=1)
  df["C"] = df.A.dt.month
  df.to_parquet(output_parquet_file)

Run Regular Code At Supercomputing Scale

Go from prototype to production with no change to your code. No need to use PySpark, rewrite in Scala, or use costly
platforms to achieve performance. No new libraries or APIs to learn, simpler than Spark, all with painless One-Click scaling.

Simplicity
Simplicity
Your Code Is Quickly Production Ready, With One-Click To Scale From A Laptop
Scale
Scale
Linearly Scale Your Python Code From A Laptop To 10,000’s Of Cores
Speed
Speed
Get Up To 100x Speedup Over Alternative Solutions At Massive Scale
Savings
Savings
Efficient Parallel Execution Provides up to 10x Increased Resource Efficiency
+10,000
Cores With No Code Changes to Your Code on Your Laptop
TECHNOLOGY
10x
Faster Than Spark, Dask or Ray, With Linear Performance Scaling
BENCHMARKS
90%+
Reduced Compute Infrastructure Cost With Improved Resource Efficiency
ECONOMICS

Use Bodo With Popular Data Tools

Bodo is completely compatible with popular platforms, data warehouses and lakehouses.
You can source your data with parallel I/O and deploy on any compute infrastructure of your choice.
Open Source APIs
PythonPandasNumbyScikitSQL
Data Sources
ParquetCSVAmazon S3SnowflakeHadoopIceberg
Bodo
BI & Visualization
TableauPlotlyPowerbi
Cloud/On-Premises Infrastructure
AWSgoogle cloudAzureOn Premise
Open Source APIs
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Data Sources
BI & Visualization
Cloud/On-Premises Infrastructure
Open Source APIs
Data Sources
BI & Visualization
Cloud/On-Premises Infrastructure
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Data Sources
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Open Source APIs
Cloud/On-Premises Infrastructure
BI & Visualization
Data Sources
Open Source APIs
Cloud/On-Premises Infrastructure
BI & Visualization
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Data Sources
Open Source APIs
Bodo
Just Add the Bodo JIT Decorator to your Prototype Code.
End-to-End Optimization
Higher Performance Connectors
Analytics Primitives
High Performance
Automatic Parallelization
Integration Tools
Cloud/On-Premises Infrastructure
BI & Visualization

Community-Focused, Zero Lock-in

Based on Numba and OSS - Zero Lock-in - Maximum Compatibility - Cloud and Infrastructure Agnostic
*Coming Soon

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What Others Say

"Bodo is excellent ‘easy scaling’ [for] straightforward Pandas code - you just let Bodo handle the parallelism"
Travis Oliphant
CEO OpenTeams, Quansight, Founder of Anaconda
“Bodo allows you to easily parallelize your Python code on multiple nodes -  write your code, decorate your functions with the bodo.jit() decorator, and Bodo handles the rest for you.”
Tamas Foldi
Co-founder and CTO, Starschema
“Bodo enables developers to put code straight into production.”
Enterprise Strategy Group
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