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Hive

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Last updated on

Ratings

G2
4.2/5
(60)

Hive description

Hive is a data warehouse software that helps you analyze very large datasets. It's like a giant spreadsheet for your company's data. It uses a language similar to SQL, making it easy to ask questions and get insights from your data. Hive is particularly useful for companies with huge amounts of data, as it can handle petabytes of information. It achieves this by organizing your data in a structured way and providing tools to manage and analyze it efficiently.

Who is Hive best for

Hive is a powerful data warehouse solution for large enterprises needing to analyze massive datasets. Its SQL-like query language (HiveQL) makes it easy to use, but some users find query latency and limited real-time capabilities challenging. Hive shines in handling petabytes of data and integrates well with Hadoop and cloud platforms, making it ideal for companies in software, IT, and related sectors.

  • Ideal for large enterprises, especially in software, IT, and telecommunications.

  • Best for E-commerce, Retail, Consumer Goods, Education, Software/IT, Agriculture, and Automotive.

Hive features

Supported

Hive is built on top of Hadoop and seamlessly integrates with its ecosystem.

Supported

Hive supports SQL-like queries through its HiveQL language.

Supported

Hive is a cloud-based data warehousing service for storing, managing, and analyzing large datasets.

Supported

Hive supports SQL extensions with its HiveQL dialect and HPL/SQL procedural extensions.

Supported

Hive supports various compression formats to reduce storage and improve query performance.

Supported

Hive handles petabytes of data and billions of rows efficiently.

Hive reviews

We've summarised 60 Hive reviews (Hive G2 reviews) and summarised the main points below.

Pros of Hive
  • SQL-like query language (HiveQL) makes it easy to learn and use for those familiar with SQL.
  • Handles large datasets (petabytes) efficiently.
  • Open-source and cost-effective.
  • Customizable interface for task and workflow management.
  • Supports partitioning and bucketing for faster data retrieval.
  • Integration with Hadoop, Spark, and cloud platforms.
Cons of Hive
  • High latency for queries, especially complex ones.
  • Limited real-time query and row-level update capabilities.
  • Performance issues with updates and deletes.
  • Slow data output and processing speed.
  • Complex syntax compared to standard SQL.
  • Limited UDFs and optimization options.

Hive alternatives

  • Logo of Apache Tajo
    Apache Tajo
    Fast distributed SQL engine for big data analytics in Hadoop.
    Read more
  • Logo of Firebolt
    Firebolt
    Blazing-fast cloud data warehouse for instant insights.
    Read more
  • Logo of Apache Doris
    Apache Doris
    Fast, scalable data warehouse for interactive analytics.
    Read more
  • Logo of Dremio
    Dremio
    Query data lakehouses directly, for faster business insights.
    Read more
  • Logo of Oracle Big Data SQL Cloud Service
    Oracle Big Data SQL Cloud Service
    Query any data, anywhere, with familiar SQL. Fast and secure.
    Read more
  • Logo of SAP IQ
    SAP IQ
    Analyzes massive datasets fast, revealing hidden insights.
    Read more

Hive FAQ

  • What is Hive and what does Hive do?

    Hive is a data warehouse system built on Hadoop for providing data query and analysis. It supports SQL-like queries (HiveQL) for managing large datasets, making it popular for companies with extensive data needs in sectors like software and IT. It excels at batch processing and large-scale data analysis.

  • How does Hive integrate with other tools?

    Hive integrates seamlessly with Hadoop and its ecosystem. It also supports SQL-like queries through HiveQL and integrates with cloud platforms and tools like Spark. This allows for scalable analysis and efficient data management.

  • What the main competitors of Hive?

    Top Hive competitors include Databricks Data Intelligence Platform, StarRocks, and Alteryx. These alternatives offer similar data warehousing and analysis capabilities, often with a focus on ease of use and cloud-based solutions. Other competitors like Tableau, Explo, and Hevo Data provide specialized features for visualization, embedded analytics, and data integration.

  • Is Hive legit?

    Hive is a legitimate and open-source data warehousing solution. It's well-suited for large datasets and offers a SQL-like interface. However, users have noted potential performance issues with complex queries and updates.

  • How much does Hive cost?

    Hive pricing is not publicly available. Contact Hive's sales team for a customized quote based on your specific needs. Consider exploring alternative project management software if budget is a primary concern.

  • Is Hive customer service good?

    There is no information available about Hive's customer service. However, users appreciate its SQL-like query language, scalability for large datasets, open-source nature, and cost-effectiveness. Some find query latency, limited real-time capabilities, and performance issues with updates to be drawbacks.

Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.