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ETL Software
Apache Hive reviews and summary
Apache Hive is an ETL solution and data warehouse software that allows users to query and analyze large datasets stored in Hadoop. It facilitates data aggregation and provides a SQL-like interface (HiveQL) for performing analysis on big data. Hive is designed to handle petabytes of data, enabling organizations to run complex queries and generate reports on massive datasets efficiently. It is a key component of the Hadoop ecosystem, widely used for batch processing and data summarization tasks. This solution is intended for data engineers, data scientists, and analysts working with big data environments, particularly those using Hadoop. It is suitable for organizations that need to perform large-scale data warehousing, ETL operations, and analytical q...
Best for
This solution is intended for data engineers, data scientists, and analysts working with big data environments, particularly those using Hadoop. It is suitable for organizations that need to perform large-scale data warehousing, ETL operations, and analytical queries on unstructured or semi-structured data stored in distributed systems.
Starting price
Pricing not listed
Category
ETL Software
Vendor
Apache Software Foundation
Key takeaways
Our verdict
Apache Hive is a powerful and established tool for big data querying and analysis within the Hadoop ecosystem. Its ability to handle massive datasets with a familiar SQL-like syntax makes it an indispensable solution for organizations engaged in large-scale data processing and warehousing.
Quick facts
Apache Hive at a glance
Overall rating
4.2/5
Reviews
12
Starting price
Pricing not listed
Vendor
Apache Software Foundation
Founded
2011
Location
Germany
Category
ETL Software
Ratings
Apache Hive ratings
Ratings in this section summarize available rating data. Software reviews are shown separately when users submit reviews.
Decision notes
Apache Hive pros and cons
Potential strengths
- Clear buyer-fit positioning is available in the profile data.
Points to verify
- Confirm current pricing, contract terms, and included plan details with the vendor.
- Confirm product-specific availability for category-level features before buying.
- There are no written reviews for this software yet.
Buyer fit
Who uses Apache Hive?
This solution is intended for data engineers, data scientists, and analysts working with big data environments, particularly those using Hadoop. It is suitable for organizations that need to perform large-scale data warehousing, ETL operations, and analytical queries on unstructured or semi-structured data stored in distributed systems.
Feature research
Apache Hive features
These are common features buyers compare in ETL Software. Product-specific availability should be confirmed with the vendor.
User Access Management
Control user entry and feature availability through role-based permissions and secure credentials.
Integration API
Enable seamless data exchange and integration with external software systems.
Integrated Survey Analytics
Perform in-platform statistical evaluation and crosstabulation of survey data.
Automated Information Extraction
Automate the collection of data from web or document sources into structured databases.
Data Quality Assurance
Define and enforce standards for data integrity within the storage repository.
Automated Job Scheduling
Automate the start times for jobs and provide continuous progress monitoring.
Data Match & Merge
Identifying and consolidating identical records from multiple data sources to eliminate duplicates.
Metadata Administration
Organize and monitor file attributes such as tags, dates, and ownership details.
Reports & Analytics
Analyze and visualize essential performance metrics and data trends.
Advanced Search & Filtering
Navigate through available data using specific queries and parameters to find necessary information.
Document Versioning
Monitor document updates and navigate through various historical iterations of collateral.
Pricing
Apache Hive pricing
Starting price
Pricing not listed
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Pricing model: Per Feature
Pricing can change. Confirm current plans and terms with the vendor.
Compare
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Compare Apache Hive with other ETL Software tools that buyers often evaluate.
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Software reviews
Apache Hive software reviews
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FAQ
Apache Hive FAQs
Apache Hive is an ETL solution and data warehouse software that allows users to query and analyze large datasets stored in Hadoop. It facilitates data aggregation and provides a SQL-like interface (HiveQL) for performing analysis on big data. Hive is designed to handle petabytes of data, enabling organizations to run complex queries and generate reports on massive datasets efficiently. It is a key component of the Hadoop ecosystem, widely used for batch processing and data summarization tasks.
This solution is intended for data engineers, data scientists, and analysts working with big data environments, particularly those using Hadoop. It is suitable for organizations that need to perform large-scale data warehousing, ETL operations, and analytical queries on unstructured or semi-structured data stored in distributed systems.
Pricing can change. Confirm current plans and terms with the vendor.
Apache Hive is listed in ETL Software.
Apache Hive is listed with Apache Software Foundation as the vendor.
Buyers often compare Apache Hive with other ETL Software tools such as TIBCO Jaspersoft, Excel Transaction, Xplenty, Advanced ETL Processor. Review ratings, pricing, and fit before choosing.
Yes. Use the Write a review button on this page to submit a software review for Apache Hive.
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