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Saas platform screenshot
Saas platform screenshot
code deployment graphic
@bodo.jit
def f(file_name):
  df = df[df.C.dt.month == 1]
  df2 = df.groupby("A")["B", "D"].agg(
   lambda S: (S == "ABC").sum()
  )
  df2.to_parquet("output.pq")
Saas platform screenshot
Saas platform screenshot

Up to 100x Faster than Alternatives

Bodo’s powerful compute engine and parallel computing approach provides efficient execution and effective scalability even for 10,000+ cores and PBs of data

Simplicity and Flexibility of
Native Python

Bodo enables faster development and easier maintenance for data science, data engineering and ML workloads with standard Python APIs like Pandas.

Data Pipelines that Actually Work

Avoid frequent failures with bare-metal native code execution and catch errors before they appear in production with end-to-end compilation

Supercharge your data workloads at massive scale

Bodo gives you time to focus on what actually matters

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