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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Verified User in Computer & Network Security

Mid-Market (51-1000 emp.)

4/1/2020

"Hbase benefits:-"

5/5

What do you like best about Hbase?

We can store large amount of data sets and it’s very flexible to use. It supports variable schema i.e. we can add and remove columns dynamically. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

It’s not a complete replacement of relational database. Review collected by and hosted on G2.com.

Verified User in Music

Enterprise (> 1000 emp.)

3/29/2020

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

"We have been using hbase in our Big Data sta."

5/5

What do you like best about Hbase?

Because of its schema less feature and high performance in applications which involves huge read and write operations. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Query optimization need to be done effectively Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

4/6/2020

"Great for ML models"

4/5

What do you like best about Hbase?

The failover support is the best thing and processing time is very low Review collected by and hosted on G2.com.

What do you dislike about Hbase?

No transaction support in Hbase which I miss. Review collected by and hosted on G2.com.

Verified User in Computer & Network Security

Enterprise (> 1000 emp.)

4/3/2020

"Fast non-sql DB with realtime monitoring"

4/5

What do you like best about Hbase?

HBase gives you great TPS when doing batch insert and bulk scan. This is really important when doing big data processing Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The HBase cluster management and performance tuning is not intuitive and sometimes need a lot of domain experience. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

4/2/2020

"Very useful tool"

5/5

What do you like best about Hbase?

We are currently using hbase for storing a large amount of documents (TBs). It is very scalable. We never had an scaling issue with it. Easy to use Java API for client access. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

There is nothing that I dislike about hbase. Review collected by and hosted on G2.com.

Verified User in Apparel & Fashion

Small-Business (50 or fewer emp.)

4/12/2020

"Storing data and running a query to find a cluster over it is being more efficient through the hbase"

3.5/5

What do you like best about Hbase?

Efficiently helping in processing over a large number of dataset Review collected by and hosted on G2.com.

What do you dislike about Hbase?

takes a little more to run query and process it on the datasets. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

4/7/2020

"High performance"

4/5

What do you like best about Hbase?

It has high performance, extensible, quick scan Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Query syntax is not SQL like. Column family concept is not easy to understand for a beginner Review collected by and hosted on G2.com.

Verified User in Education Management

Small-Business (50 or fewer emp.)

4/6/2020

"A comfortable to use db, yet very resilient and fast."

4/5

What do you like best about Hbase?

The interface and the APIs exposed were really easy to use. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

It was little difficult to setup, would have liked a smoother interface. Review collected by and hosted on G2.com.

Verified User in Banking

Small-Business (50 or fewer emp.)

3/20/2020

"Good"

5/5

What do you like best about Hbase?

This is the very good tool and it can handle the unstructured data as well. All the JSON related files it can handle. Indexing is the best feature. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Stored under HDFS..if we have any other solution it will be easy Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

4/13/2020

"Using hbase is easy fast and fits in hadood framework but it is not widely used as like mongodb and"

2.5/5

What do you like best about Hbase?

Easy to use and fast fits good in Hadoop framework Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Less documentation makes it difficult to debug 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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