--- title: Apache Kudu Reviews meta_title: 'Apache Kudu Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 13 reviews by the users' company size, role or industry to find out how Apache Kudu works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 13 scale: '5' date_modified: '2026-08-09' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Apache Kudu Reviews **Vendor:** The Apache Software Foundation **Category:** [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Average Rating:** 4.1/5.0 **Total Reviews:** 13 ## About Apache Kudu Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem. ## Apache Kudu Reviews ### 1. I am happy with Kudu except for few exceptions. **Rating:** 4.5/5.0 stars **Reviewed by:** Vikash S. | Sr AIML & Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 01, 2020 **What do you like best about Apache Kudu?** Its quite good while reading and loading and best columnar database on top of hadoop. This kudu come with Cloudera so all component in one place. integration with impala script and compatible with parquet file format make it make more dynamic. Its dynamic partition also help during debugging. Kudu hive metastore integration is also make hive and kudu table accessible from same platform. The incremental data is replicated without any issue for end users. It support almost all ANSI sql so look very familiar. **What do you dislike about Apache Kudu?** Kudu partitioning is done only on primary key which is not always suitable. Some cases we have time stamp as partition key but could not be primary key so reading huge table is concern here. So this need to be change in future . There is concern over Kudu Context concern with impala integration. Currently JDBC connectivity has still some issue for huge data. Its camecase table name issue.Kudu tables with a column name containing upper case or non-ascii characters may not be used as an external table in Impala. Columns may be renamed in Kudu to work around this issue. **Recommendations to others considering Apache Kudu:** Go for kudu if you have Hadoop based ecosystem and loading and reading the data. **What problems is Apache Kudu solving and how is that benefiting you?** We have creating cube for our dashboard. This kudu come with Cloudera so all component in one place. integration with impala script and compatible with parquet file format make it make more dynamic. Kudu hive metastore integration is also make hive and kudu table accessible from same platform. ### 2. Apache Kudu vs Hive, speed of execution. **Rating:** 5.0/5.0 stars **Reviewed by:** Bharat M. | Specialist Architect , Enterprise (> 1000 emp.) **Reviewed Date:** December 03, 2020 **What do you like best about Apache Kudu?** Speed of execution, specially with comparison to Apache Hive. Flexibility to work as a regular RDBMS table. It can be used for huge datamart with CDC logic at ease. **What do you dislike about Apache Kudu?** You have to decide the primary key for each and every objects. So, more focus on the Data Modelling aspect. **What problems is Apache Kudu solving and how is that benefiting you?** We were trying to create DataMart for a huge financial data and where we were looking for a CDC as well as flexibility to update the data as per the business need. we tried Hive but it didn't work as expected. Then we tried Kudu and its performing well. ### 3. Apache Kudu :lightning fast read and write **Rating:** 5.0/5.0 stars **Reviewed by:** Divyam G. | Big Data Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2020 **What do you like best about Apache Kudu?** no need to learn HBase for Real-Time processing, Apache Kudu can help you. easy to learn, efficient and you can update the records. it provides **What do you dislike about Apache Kudu?** Primary must be the first column, some time it is difficult to maintain 1st column as the primary key. **Recommendations to others considering Apache Kudu:** Everyone who deals with the real-time application and it will work in Transactions also , you can leverage KUDU if you or god in SQL. **What problems is Apache Kudu solving and how is that benefiting you?** while working with the Spark Streaming application kudu provides compatibility. writing is very easy and fast ### 4. Good But Consuming **Rating:** 5.0/5.0 stars **Reviewed by:** Hossam E. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 11, 2020 **What do you like best about Apache Kudu?** the query is very fast and has a great performance. **What do you dislike about Apache Kudu?** it consume a lot of memory which destroy the system in long time. **What problems is Apache Kudu solving and how is that benefiting you?** I face problem in 1 tablet it was full memory, I solve it by load balance. ### 5. Fast paced analytics of fast data **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammedansar T. | Hadoop Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** April 01, 2020 **What do you like best about Apache Kudu?** The most useful thing is It is fully distributed and fault tolerant which makes our life easy. **What do you dislike about Apache Kudu?** The only thing I dislike is the use of primary keys, auto generated primary keys are always not supported **Recommendations to others considering Apache Kudu:** As it is fast paced data store to do some analytics on fast moving data. This is one of those which provides you reliable and required results. So, any company that wants a fast and reliable results must use this. **What problems is Apache Kudu solving and how is that benefiting you?** We are able to solve our geo fencing on data in kudu with spark. It's being quite helpful. - [View Apache Kudu pricing details and edition comparison](https://www.g2.com/products/apache-kudu/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+11%3A11%3A00+-0500&secure%5Bsession_id%5D=785fad9f-572f-4464-8ce1-84a71d370b7c&secure%5Btoken%5D=a2c26679c040b35ebbc0ce69acec9a3b5be5eec464412882fb869bd5e362ef54&format=llm_user) ## Apache Kudu Features **Storage** - Data Model - Data Types **Availability** - Auto Sharding - Auto Recovery - Data Replication **Performance** - Integrated Cache **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Support** - Multi-Model - Operating Systems ## Top Apache Kudu Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (714 reviews) - [ClickHouse](https://www.g2.com/products/clickhouse/reviews) - 4.5/5.0 (22 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews)