Hbase is used as a distributed wide-column database for storing and retrieving large datasets, especially where teams need fast access to data by key. Its use is often tied to Hadoop-based data processing.

What company sizes and industries is Hbase the best fit for?

Hbase is most often a fit for larger organizations, with positive users also represented in mid-market and small businesses. The industries with the strongest presence include:

Company size — Enterprise: The most prominent segment among positive users.
Company size — Mid-market: Also well represented.
Company size — Small business: Present among positive users as well.
Industry — Information technology and computer software: A recurring setting for Hbase use.
Industry — Banking and financial services: Commonly represented, often for large-scale data storage and processing.
Industry — Telecommunications: Another recurring use context.

How long does it take to implement Hbase across a team?

Implementation timelines vary, but 1–3 months is the most commonly reported time to go live. Other reported timelines span from less than a day to more than a year.

Time to go live	Relative frequency
1–3 months	Most common
Less than 1 month	Also reported
3–6 months	Also reported
More than 12 months	Less common
6–12 months	Less common
Less than 1 day	Less common

What customer support options does Hbase provide, and how do users find the overall support experience?

Hbase is an open-source project with community-oriented support; users value community knowledge and online resources, though support experiences can be uneven. Community help is useful for finding answers, while troubleshooting and resolving complex issues can take effort.

What is the experience like for teams switching to Hbase from another tool?

Teams have moved to Hbase when existing relational or other data stores could not handle their data volume, scaling needs, or performance requirements. The transition can bring faster access to large datasets and a closer fit with Hadoop-based workloads, but it also means adapting to a nonrelational model and a less familiar query approach. Prior systems include relational databases such as MySQL and PostgreSQL, as well as other NoSQL and data platforms.

What tools and platforms does Hbase integrate with, and how do these integrations help users get more value from the product?

Hbase is used with Hadoop ecosystem components and connected to query, analytics, and application layers. These connections let teams work with large datasets in their existing data pipelines and serve queried data to applications.

Hadoop and data processing: Hadoop, HDFS, MapReduce, and Spark.
Query and search: Hive, Apache Phoenix, Apache Solr, and Elasticsearch.
Application and data access: Java clients, REST APIs, and Kafka.
Reporting and visualization: Tableau and Banana.

What features or capabilities could make Hbase even more useful?

Hbase could be more approachable for teams that need to query, manage, and tune it. Recurring improvement areas include:

Querying: Provide a more intuitive, SQL-like query experience for common data operations.
Indexing and data access: Make it easier to index and query beyond the row key.
Cross-table operations: Add more direct support for joins and related relational-style operations.
Administration: Simplify setup, configuration, monitoring, and performance tuning.
Developer experience: Make the APIs, tools, and management interface easier to use.

G2 reviews are authentic and verified.

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Harsh K.

Big Data Engineer

Enterprise (> 1000 emp.)

3/26/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"HBASE review"

3.5/5

What do you like best about Hbase?

HBASE provides functionality to upload data in bulk or update data on Hadoop which Hive does not provide as HBASE is a NoSQL database. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The commands and a bit structure of row key and column family. Review collected by and hosted on G2.com.

Chintan S.

Programmer Analyst

Small-Business (50 or fewer emp.)

3/28/2020

"Works great in Hadoop ecosystem, NoSQL and scales well"

4/5

What do you like best about Hbase?

Variable Schema: columns can be added and removed dynamically. Integration with Java client, Thrift and REST APIs. Auto scaling, sharding and failover Great integration with the ecosystem Review collected by and hosted on G2.com.

What do you dislike about Hbase?

No transactions Need to have Phoenix or some query layer on top of it, to take full advantage No joins Cannot store blobs Resource intensive Review collected by and hosted on G2.com.

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

3/29/2020

"Hbase review by megha"

3.5/5

What do you like best about Hbase?

Hbase storage and processing speed and the way it works on a particular record as cell. Can be easily connected with stream data kafka also. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Commands is not easy to remember, I can understand since it is a NoSQL database. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

It is more useful when user wants to store more unstructured or semi-structured data with TB of records and can be easily connected to frontend which makes frontend really easy. Review collected by and hosted on G2.com.

What problems is Hbase solving and how is that benefiting you?

Currently I am not using Hbase but I have used it in my previous companies I worked in telecom domain to store final data which was finally connected to frontend. Review collected by and hosted on G2.com.

Verified User in Design

Small-Business (50 or fewer emp.)

3/19/2020

"HBase magically reduces the burden of storage problems for me."

4/5

What do you like best about Hbase?

Its speed and compatibility for huge data storage. Backup master nodes is also a plus point. I can store a lot of data using hbase is what attracts me the most. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

I do not like that it can only be indexed on key. I have difficulties sorting my database on various attributes because it can only be sorted on key. I think that's where it needs some improvement on. Review collected by and hosted on G2.com.

Lakshya K.

Data Scientist

Enterprise (> 1000 emp.)

3/25/2020

"Great experience overall"

4/5

What do you like best about Hbase?

I like the how fluently hbase scales. The real time operations provide great infra for application development with real time data extraction. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The Hbase is not so optimised for transnational datasets. Review collected by and hosted on G2.com.

Devendra V.

Software Engineer

Enterprise (> 1000 emp.)

3/27/2020

"Will recommend highly"

4.5/5

What do you like best about Hbase?

It is open-source. Also, it is a non-relational distributed database. Supports HDFS. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Joins not used in database. Sorted only on key. Review collected by and hosted on G2.com.

Prerit J.

Enterprise (> 1000 emp.)

4/9/2020

"Hbase review"

4/5

What do you like best about Hbase?

Query mechanism

Ease of use with Java

Community support online Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Latency due to strong consistency.

Less languages supported Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

4/5/2020

"Fast and Easy access"

4/5

What do you like best about Hbase?

It's integrated with Hadoop is very handy and useful feature. Requires less time to setup with Hadoop. Easy Java API for client which gives easy access through programs. In memory processing increase the speed than other DBs. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Joins handled within MapReduce instead of database itself. It should have built in authentication or permission model. Review collected by and hosted on G2.com.

Chetan R.

Big Data Developer

Enterprise (> 1000 emp.)

4/7/2020

"Its definitely a good service to work with big data on top of hdfs."

4.5/5

What do you like best about Hbase?

It is a reliable service. The good thing about Hbase is its hive connectivity for firing sql like queries. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The only thing of concern is its single point of failure. Review collected by and hosted on G2.com.

Vishesh B.

Project Engineer

Small-Business (50 or fewer emp.)

4/14/2020

"Hbase - A great DB"

4.5/5

What do you like best about Hbase?

Similar to Google's bigtable and can be written in Java Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Incase if only if Hmaster is used, can be possibility of failure. Review collected by and hosted on G2.com.

Questions about Hbase? Ask real users or explore answers from the community

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Shashank Sah

•

Last activity over 6 years ago

In HBase, we cannot implement any cross data operations and joining operations, of course, we can implement the joining operations using MapReduce, which would take a lot of time to designing and development. How we can improve this??

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Guest User

What do you recommend for organizations considering Hbase for their database management needs?

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