Serverless Speed: Rust vs. Go, Java, and Python in AWS Lambda Functions

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  • wrangler-legacy

    Discontinued 🤠 Home to Wrangler v1 (deprecated)

  • polars

    Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  • Over in polars we are using some of these tricks to greatly increase the parsing of ndjson. While no official benchmarks have been done, polars ndjson reader does seem to be faster than simdjson in many scenarios.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • java-json-benchmark

    Performance testing of serialization and deserialization of Java JSON libraries

  • https://github.com/fabienrenaud/java-json-benchmark is an older benchmark. Jsoniter / DslJson haven't really had updates in a while.

  • fastjson2

    🚄 FASTJSON2 is a Java JSON library with excellent performance.

  • https://github.com/alibaba/fastjson2/wiki/fastjson_benchmark Alibaba has a fastjson2 that claims to be a lot faster.

  • jackson-databind

    General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)

  • As to Jackson itself see https://github.com/FasterXML/jackson-databind/issues/1970 for example on startup issues. There are others.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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