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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Anuj V.

Data Engineer

Mid-Market (51-1000 emp.)

4/9/2020

"It is good open source non relational database"

4/5

What do you like best about Hbase?

Hadoop database is one of the best feature. Also it has a lot of features Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Can be improved like direct connection to visualization tools Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/29/2019

"Good Non-relational Distributed Database for bigdata"

3/5

What do you like best about Hbase?

Fetching of data from tables in different region servers is pretty fast. Designing the key which would act as an index for fetching data is a bit complicated but helps in speedy data retrieval. The java api to fetch data from HBase is pretty straightforward and makes it easy in integrating with RESTful web services. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

There is no offset based pagination so if the tables are designed in a tall narrow format, it is impossible to use a combination of offset & limit to query the database for results. Have to use Apache Solr or Apache Pheonix for implementing the indexing functionality which adds to overhead costs and introduces one more dependency in the stack. Review collected by and hosted on G2.com.

Verified User in Insurance

Mid-Market (51-1000 emp.)

4/14/2020

"Hbase is very efficient for big data and very easy to pick up with sql language"

4/5

What do you like best about Hbase?

it has the same syntax as SQL and easy to code in shell. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

sometimes it is slow with huge data, it cannot handle column based data. Review collected by and hosted on G2.com.

Verified User in Banking

Mid-Market (51-1000 emp.)

4/9/2020

"Hbase | Real time big data processing"

4/5

What do you like best about Hbase?

Hi, Hbase is very useful for random search requirements dealing with real time data processing as compared to just batch processing capabilities of other hadoop tools. A combination of Hbase with elasticsearch can help build real-time applications Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Nothing apart from the fact that users can get into troubleshooting issues that are sometimes hard to solve Review collected by and hosted on G2.com.

Kunal B.

Senior Engineer - Data Engineering

Mid-Market (51-1000 emp.)

3/28/2020

"As a NoSql solution, Hbase is really helpful"

5/5

What do you like best about Hbase?

NoSql solution, columnar structure, nice performance Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Nothing as such. Support for more etl technologies would be better Review collected by and hosted on G2.com.

Ajay N.

Machine Learning Engineer Internship

Small-Business (50 or fewer emp.)

4/6/2020

"A brief review of Hbase - Cost effective- NoSQL DB"

4/5

What do you like best about Hbase?

Faster, cost-effective, scalability, better version control Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Tough query standards and support, comparatively hard to integrate with map-reduce etc.. Review collected by and hosted on G2.com.

Verified User in Computer Software

Mid-Market (51-1000 emp.)

3/31/2020

"Hbase as a scalable big data platform"

4.5/5

What do you like best about Hbase?

Scalability of handling the large amount of data Review collected by and hosted on G2.com.

What do you dislike about Hbase?

I was facing an issue related to dumping the HBase data into Hive, but in the end, we completed the task. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

This is one of the best distributed systems for big data. It is highly scalable and the best tool for production. Review collected by and hosted on G2.com.

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

We prepare a big data platform so our data is dumped into HBase using Apache Spark, and we prepared a data warehouse using Hive2. Review collected by and hosted on G2.com.

Verified User in Financial Services

Enterprise (> 1000 emp.)

4/11/2020

"Hbase is good"

5/5

What do you like best about Hbase?

Auto failover, variable schema, integration with java client, Auto partitioning Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Joins doesn’t work in this at the time when I used to work. Review collected by and hosted on G2.com.

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

4/14/2020

"HBase is awesome for near realtime use case"

5/5

What do you like best about Hbase?

Key value pair data structure to store the data and flexibility to alter the table to add new column in existing column family good to address new columns /fields in source data Review collected by and hosted on G2.com.

What do you dislike about Hbase?

No SQL like native interface though we can use phoenix Review collected by and hosted on G2.com.

Verified User in Printing

Enterprise (> 1000 emp.)

3/24/2020

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

"Hbase Review"

5/5

What do you like best about Hbase?

It's very fast and efficient to access the Data and can handle large datasets with ease. And the best part it's open source Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Possibility of failure when using only one master node. Cannot implement any cross data operations since it takes a lot of time to design and develop. 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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