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.

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prateek k.

Senior Data Engineer

Enterprise (> 1000 emp.)

Originally submitted 4/11/2023

"Fast Search, Fault tolerant and scalable"

4.5/5

What do you like best about Hbase?

Faster lookup of records using the row keys. It helped to fetch thousands of documents in a much faster way using the row keys

As it is a columnar data store, it helped us to improve the query performance and aggregations

Sharding helps us to optimise data storage and retrieval. HBase provides automatic or manual sharding of tables.

The dynamic addition of columns and column families helped us efficiently modify the schema. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

It cannot have multiple indexes as the row key is the only column which could be indexed.

HBase does not support partial row keys, which limits its query performance. Review collected by and hosted on G2.com.

GouriS S.

Data Scientist

Mid-Market (51-1000 emp.)

11/5/2021

"Apache Hbase for processing billion of records"

4/5

What do you like best about Hbase?

The best thing about Apache Hbase is it is capable to process billion of records available in hbase tables and provides fast processing of data. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The thing which I don't like in apache Hbase is it doesn't support joins of tables like other rdbms databases Review collected by and hosted on G2.com.

Maike M.

Server and Storage

Mid-Market (51-1000 emp.)

10/26/2021

"Distributed database"

4/5

What do you like best about Hbase?

Structured data storage for large tables.

Add extra services for analysis. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Lots of cloud space and external server capacity. Review collected by and hosted on G2.com.

surya p.

Module Lead

Enterprise (> 1000 emp.)

6/27/2021

"Apache Hbase review"

5/5

What do you like best about Hbase?

Easy for setting up and starting to experiment. That's the best part Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Commands are bit tricky as we need to use suitable java classes for applying operations like filtering Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

Make sure that you use it for right use case to avoid future troubles Review collected by and hosted on G2.com.

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

We maintain various dimension data of our business process in Hbase system. We store fact information in Hadoop file system. So we combine both these information to make business decisions Review collected by and hosted on G2.com.

Shubham B.

Senior Consultant

Enterprise (> 1000 emp.)

6/7/2021

"Database with good storage and integration"

5/5

What do you like best about Hbase?

Hbase is columnar based approach of storing data Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Other database come in cloud with better understanding Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Enterprise (> 1000 emp.)

6/14/2021

"I am a bigdata platform architect, working for multiple clients project implementation, migration"

4/5

What do you like best about Hbase?

Hbase data and metadata management within large deployment cluster Review collected by and hosted on G2.com.

What do you dislike about Hbase?

While doing API integration for data accessing Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

It depends on the business use case. If fit, then the architect can recommend Review collected by and hosted on G2.com.

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

I worked for an IOT based project where the client would capture the accurate data, which comes from multiple devices at very high velocity. I love HBase data loading speed and read the data form tables. Review collected by and hosted on G2.com.

Mukul C.

Software Engineer

Mid-Market (51-1000 emp.)

6/16/2021

"Very good database for modern apps"

4/5

What do you like best about Hbase?

Speed of transactions is one of the best among all dbs Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Configuration of database taking more time Review collected by and hosted on G2.com.

Verified User in Financial Services

Enterprise (> 1000 emp.)

6/5/2021

"We have used HBase for storing our real time data related to transaction."

4.5/5

What do you like best about Hbase?

It's feature of keeping the versions of the records and its storage structure. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Difficult to maintain. It should come as managed service. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

6/4/2021

"Apache products have always been useful."

4/5

What do you like best about Hbase?

That it is an open-source non-relational distributed database. Very handy to use. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Hbase is indexed and sorted only on key. Review collected by and hosted on G2.com.

Mohit G.

software Engineering analyst

Enterprise (> 1000 emp.)

4/15/2020

"Great so far, highly recommended."

5/5

What do you like best about Hbase?

The most helpful thing is that it eases out the work you do. The upsides of using hbase is the user friendliness that it provides. This technology is gaining a lot of importance these days. Other helpful features are a variety of commands that it provides. Apart from that you would explore a lot of upsides when you actually start working on this great and helpful technology. Since hbase is a no sql database so the users dealing with massive data or big data will find it really helpful to work with hbase. This technology is a great upside in this field and certainly gonna be a leader on upcoming days. When you are dealing with a huge velocity and volume of data this technology comes out to be a saviour. I highly recommend use of hbase instead of conventional technologies. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The least helpful about hbase I think is the lack of some common features that are available with similar technologies available in the market. The downsides of hbase hence could be improved. For a technology to become popular the least helpful needs to be omitted out and the downsides could be removed. Technologically I found out that when only one Hmaster is used, there could be a possibility of failure. Since joins are handled in MapR layer. Since a traditional RDBMS is index on multiple columns Hbase is only index on a key. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

For those looking at hbase, First of all you should have a prior knowledge of the traditional rdms systems then only you would be able to make the best out of it. These big data systems are really helpful and gaining a lot of popularity. Review collected by and hosted on G2.com.

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

Hbase has impacted by work significantly in the past 2-3 years. The use of hbase has made me deal with the unstructured data in a much more convenient way than I used to struggle with other technologies. For a technology to make a huge impact it should be user friendly enough and hbase has left no stone unturned except a few :). Hbase is a one stop solution for dealing with data problems. So you name a data problem and hbase has a solution. It has significantly impacted users across the world. Review collected by and hosted on G2.com.

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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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