# Apache Hive Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about Apache Hive Software - reviews, pricing plans, popular comparisons to other ETL products and more. Source: https://www.capterra.com/p/170238/Apache-Hive --- # Apache Hive Software Review 2026: Features, Integrations, Pros & Cons Last updated on March 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. Independent research methodology Capterra’s researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology. 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[Learn more](https://www.capterra.com/resources/how-we-ensure-transparency/) [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Apache Hive ## What is Apache Hive? ETL solution that allows users to execute query to large datasets, located in Hadoop, aggregate it, and provide analysis of data. ## What is Apache Hive used for? [ETL](https://www.capterra.com/etl-software/) Overall rating Based on 17 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Contact vendor for pricing Free trial not available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Apache Hive?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=http://www.apache.org&name=Apache Hive) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Apache Hive 4.2 (17) VS. [### Cloudiway](https://www.capterra.com/p/172428/Cloudiway/) [4.8 (130)](https://www.capterra.com/p/172428/Cloudiway/reviews/) Starting Price Contact vendor Starting Price $1 Flat Rate, One Time Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.1 (17) Ease Of Use 4.8 (130) Value For Money 4.5 (11) Value For Money 4.7 (127) Customer Service 4.2 (11) Customer Service 4.6 (122) ## Apache Hive alternatives [Cyclotron Beam](https://www.capterra.com/p/10042466/Cyclotron-Beam/) [0.0](https://www.capterra.com/p/10042466/Cyclotron-Beam/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 0% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/10042466/Cyclotron-Beam/) [Talend Open Studio](https://www.capterra.com/p/246747/Talend-Open-Studio/) [4.6 (14)](https://www.capterra.com/p/246747/Talend-Open-Studio/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/246747/Talend-Open-Studio/) Highest Rated [Ab Initio](https://www.capterra.com/p/234271/Ab-Initio/) [5.0 (1)](https://www.capterra.com/p/234271/Ab-Initio/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/234271/Ab-Initio/) [Kdetools](https://www.capterra.com/p/179670/kdetools/) [1.0 (1)](https://www.capterra.com/p/179670/kdetools/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 0% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/179670/kdetools/) ## Pricing Value for money 4.5 (11) ### Starting price Contact vendor for pricing Free trial not available Value for money 4.5 (11) 4.5 Based on 11 reviews Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 4.2 (11) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.2 (11) 4.2 Based on 11 reviews ## User reviews Overall rating 4.2 Based on 17 reviews Filter by rating 5(5) 4(11) 3(1) 2(0) 1(0) Mentioned topic Sorted by most recent VP Vidya P. Bidata engineer Information Technology and Services ### "Hive is the goldmine for data enthusiasts" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 April 27, 2025 Overall Hive emerged as a great query engine with distributed processing and very capable for data analytics Pros Hive is a great capable data warehouse tool for data analysis and performing etl transformations at large scale Cons Hive processing is not very efficient in producing faster runs in line with other emerging tools like spark Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. SA Samuel A. Software Telecommunications ### "Power of Big Data with SQL " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 May 19, 2023 Pros Apache Hive is a great tool that helps us work with a lot of data easily. It's very good at dealing with different kinds of data, both organized and messy. It uses SQL, a simple language most people already know, and can handle large amounts of data well. Cons Hive can be slow sometimes. It's not great for certain types of jobs like OLTP. There are also some problems with updating data and we could use better learning resources. Hive could also be better at dealing with data in real-time. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AU Anonymous User BigData Engineer Information Technology and Services ### "A useful Data Warehouse for all the BigData enthusiasts" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 7/10 February 14, 2023 Basically you can store all the data that is structured in Hive built on top of Hadoop, that enables to store data easily and query them using SQL Pros It is simple to use as it really feels like a Database with its SQL like framework that easily parses queries behind the scenes into Mapreduce capable of supporting both internal and external data tables. It assins data to the machines in a cluster for faster performance with fault-tolerant capability to protect data at all cost. Cons Hive looks for data in the local machine and not HDFS, so there is no direct way to transfer files/data from local machine to HDFS (need to use external application). Execution time is not so fast as it takes a long time especially when there is a usage of joins in the queries as it relies on external disc space compared to Spark that uses in-memory space leading it to be more faster than hive. When hive is restarted, all the metadata gets erased. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Data Analytics Manager Logistics and Supply Chain ### "Reliable for big data processing but a bit outdated" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 3.0 3.0 Customer Service 0.0 0.0 Likelihood to Recommend 6/10 June 20, 2022 We're able to rely on Hive for processing very large volumes of data. Pros Reliability has been the strongest aspect of Hive. In terms of capacity for processing large volumes of data, Hive gives us the best option when we're more concerned about success of our batch jobs than speed of execution. Cons Speed. Hive is a bit slower compared to other memory-based big data processing engines like Spark or Presto. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AU Anonymous User System engineer Information Technology and Services ### "How apache hive can be used in bigdata nowadays." 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 6/10 May 30, 2022 In hive i have worked in my organization for analysing the data and gives the graph chart to clients for taking the business decision. Based on the requirements we have made the graphical representation of data . Pros Hive is data warehouse where we can stores our data and perform analysis on that in larger scale. It gives superior scalability and flexibility for data analysis. hive data warehouse use cost effective. We can set timing to set up the duration of data warehouse on timing. So its a cost saving features while you use it for a larger scale data analysis.now hive mainly used in bigdata for managing large scale of data. Cons Hive is not ment for real time data analysis which is a big limitation for this warehouse.transaction processing data are not supported in hive data warehouse whice i feel its not ment for real time data analysis. Reasons for choosing Apache Hive Its gives more scalability and it is cost effective. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Diego S. Applied Data Scientist Marketing and Advertising ### "The Bigdata DatawareHouse that works seamlessly with Spark!!" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 June 21, 2021 Apache Hive has solved us the need of doing repetitive transformation over the final clean tables processed by our ETL process for all our analytical and business analytics tasks, now that we have the Data Warehouse in place we no longer have to extract summary extracts or perform any repetitive queries we did in the past, now we have designed a robust star schema with the main KPIs and calculations with all the look up tables we need and all without switching from technology or framework all in the same Apache Spark project!! Pros I love how easy is to integrate Apache Hive with Spark and perform SQL queries as if the tables were stored on Hadoop or S3 or GCP buckets. It is also very familiar to Spark users of tables stored on other file systems since it is based on the same storage (Hadoop HDFS) as regular Spark. And the best feature is that it is open source!! So, no extra cost for licensing!! Cons One thing is regarding its limitation of only being able to work with structured data and only being able to query tables, but for the regular use we do on our company it is more than enough (we do not have much unstructured data anyways). Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AU Anonymous User Data Specialist - Big Data and Analytics Information Technology and Services ### "Apache Hive: Great for large scale batch workloads" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 January 13, 2021 Overall, I'm pleased with using Apache Hive for processing large big data workloads and recommends it for using batch processing. Pros Good for large scale ETL/ELT batch workloads SQL like syntax Good integration with Hadoop and Cloud technologies Ability to support customer UDFs High throughput and support for Spark. Tez and MR as an execution engine. Great support for different file formats (both row and columnar) Cons Not much support for data caching out of the box that results in larger processing time and high latency for interactive querying for data analysis. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Consultant Computer Software ### "Is Hive still relevant?" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 5/10 November 21, 2020 It's definitely better than writing map reduce code, but cloud based MPP solutions like BigQuery, Redshift and Snowflake do a much better job at making it easier to process big data with SQL. Pros Originally, Hive acted as an abstraction layer that translates SQL to map/reduce jobs. It still does this to this day, but it is also able to translate SQL to other engines that run on top of Hadoop. It also adds schema management on top of HDFS which, being the first schema management laysqer on top of HDFS, is used with other SQL on HDFS systems such as Presto, Impala and others. Cons The real problem is that in addition to learning Hive, you'd have to actually understand the underlying processing engines and how to tweak or tune them or what their obscure errors actually mean. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User VP Financial Services ### "Great Way to query your Non-sql Data in a Sql Way!" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 October 10, 2020 Overall I just loved using Hive which integrates so well with Hadop and also Spark capabilities. Pros \- Integration with Hadoop/HDFS file system - SQL like querying capability makes it easy to query/group/slice data which is difficult to do using traditional map reduce programs Cons \- Little learning curve required in terms of loading the data from HDFS to tables, concept of external/managed tables, etc. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. RY Rajasekhar Y. Software developer Information Technology and Services ### "Review on Apache Hive " 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 3/10 October 1, 2020 I would strongly recommend for others to use their projects for better performance and good experience Pros I’m using Apache hive for my current project based on my experience l would like write few good features about the software as its very sophisticated software for warehouse projects to providing data query and analysis and it gives SQL interfaces to query data stored in different databases . Cons Give us very faster for retrieving data and loading data .It’s being used for integrate file system integrated with Hadoop. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. [View all Reviews](https://www.capterra.com/p/170238/Apache-Hive/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Independent research methodology Capterra's researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology. [Learn more](https://www.capterra.com/resources/proprietary-data-research/) How Capterra verifies reviews Capterra carefully verified over 2.5 million+ reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI. 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