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VeloDB VS Microsoft Azure HDInsight

Compare VeloDB VS Microsoft Azure HDInsight and see what are their differences

VeloDB logo VeloDB

Modern Real-Time Data Warehouse

Microsoft Azure HDInsight logo Microsoft Azure HDInsight

Azure HDInsight is an Apache Hadoop distribution powered by the cloud.
  • VeloDB VeloDB
    VeloDB //
    2024-01-10

VeloDB is a modern real-time data warehouse powered by open source Apache Doris for lightning-fast data analytics at scale. It ensures big data ingestion within seconds and outstanding performance in both real-time serving and interactive ad-hoc queries. It is one platform for various analytics workloads, including structured and semi-structured data processing, real-time analytics and batch processing, internal data query and federated queries of external data. It allows elastic scaling for efficient resource management. It can dynamically adjust the computing resources allocated to the workload based on the changing requirements. It supports MySQL protocol and standard SQL for easy integration with other data tools. It also provides open data API to be accessible for various external query engines.

  • Microsoft Azure HDInsight Landing page
    Landing page //
    2022-10-02

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Microsoft Azure HDInsight videos

Part 1 - Introduction to Microsoft Azure HDInsight

Category Popularity

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Databases
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Big Data
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Relational Databases
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Data Dashboard
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What are some alternatives?

When comparing VeloDB and Microsoft Azure HDInsight, you can also consider the following products

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

Presto - Next generation front-of-house technology

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.