Datasource enabling multidimensional indexing and sampling pushdown

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • qbeast-spark

    Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!

  • If you want to play with it, check out the Qbeast-Spark github

  • Apache Spark

    Apache Spark - A unified analytics engine for large-scale data processing

  • Based on Delta Lake and available for Apache Spark, it allows indexing your data by different columns and read a representative sample directly from storage 🔥

  • 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.

    InfluxDB logo
  • delta

    An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs (by delta-io)

  • Based on Delta Lake and available for Apache Spark, it allows indexing your data by different columns and read a representative sample directly from storage 🔥

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.

Suggest a related project

Related posts