Software Alternatives & Reviews

BlazingSQL

Distributed SQL engine on GPUs to integrate data lakes with RAPIDS, an open source end-to-end data science platform completely in GPUs.

BlazingSQL Alternatives

The best BlazingSQL alternatives based on verified products, community votes, reviews and other factors.
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  1. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

  2. Application and Data, Data Stores, and Big Data Tools

  3. Application and Data, Data Stores, and Big Data Tools

  4. Distributed SQL Query Engine for Big Data (by Facebook)

  5. Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

  6. Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

  7. Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

  8. The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

  9. The #1 software development tool used by agile teams. Jira Software is built for every member of your software team to plan, track, and release great software.

    paid Free Trial $7.0 / Monthly (Above 10 Users)

  10. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

  11. Data visualization and collaboration tool.

  12. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

  13. Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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This list was published on | Author: | Publisher: SaaSHub
Categories: Databases, ETL, Big Data, Big Data Analytics, Big Data Tools