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.

Here's how.

Souradeep B.

Software Engineer

Mid-Market (51-1000 emp.)

3/24/2020

"Can store large data sets on top of HDFS file storage"

3/5

What do you like best about Hbase?

the database can be shared. Operations such as data reading and processing will take small amount of time as compared to traditional relational models Review collected by and hosted on G2.com.

What do you dislike about Hbase?

In HBase, there is no support for the transaction. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

don’t expect to use HBase as a wholesale replacement for every one of your relational databases. HBase is great at many things but it doesn’t replace relational databases. For a start, it doesn’t talk SQL, have an optimizer, support cross record transactions or joins. If you don’t use any of these in your database application then HBase could very well be the perfect fit. Review collected by and hosted on G2.com.

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

As compared to traditional dataBase, data reading and processing in HBase will take the small amount of time. Review collected by and hosted on G2.com.

Ayush A.

Consultant Specialist

Enterprise (> 1000 emp.)

3/24/2020

"Java API for Chat Bot with Hbase"

5/5

What do you like best about Hbase?

It delivers the faster retrieval of data as compared to other Big data components and can handle semi-structured data as well and goes very well with APIs. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The challenges faced in HBASE is that we need to truncate the table and could not able to overwrite the data as like we can do in Hive. Even Hive is linked to Hbase data Storage. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

I would advise to try HBase to leverage their working capabilities of your reporting for faster access of data. Review collected by and hosted on G2.com.

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

Chat Bot creation on Slack using Java API with HBase (data storing and retrieval of data based on users query) and Python script for AI ML for understanding human interactions. Review collected by and hosted on G2.com.

monalisa s.

Data Engineer

Enterprise (> 1000 emp.)

4/21/2020

"Best No SQL database"

3.5/5

What do you like best about Hbase?

Hbase is highly recommend specially with respect to perform ,setup and maintenance. Working with huge dataset ,It's a total win against various database.Provides lots of parameter to tune the performance based on conditions. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Hbase has its own difficulties , syntax not so user friendly ,takes time to adapt.Also restrictions to allow single index.aggreations slows down the performance. Review collected by and hosted on G2.com.

Anugrih C.

Senior Technical Consultant

Enterprise (> 1000 emp.)

7/9/2020

"Best NoSql DB for people working on hadoop stack"

3.5/5

What do you like best about Hbase?

Hbase and Hive connectivity, faster retrieval of data Review collected by and hosted on G2.com.

What do you dislike about Hbase?

You have to write code majorly in Java to access data residing in Hbase Review collected by and hosted on G2.com.

Bhuwan S.

Assistant System Engineer Trainee

Small-Business (50 or fewer emp.)

4/4/2020

"Hbase :NO SQL (document database)"

4/5

What do you like best about Hbase?

easy to understand and easy to implement in many big data framework such as Hadoop, it is very fast as compared to a relational database, in combination with Hadoop was awesome and easy to understand, I used HBase as a learning experience Review collected by and hosted on G2.com.

What do you dislike about Hbase?

there are slightly fewer tutorials for beginner to understand the HBase Review collected by and hosted on G2.com.

Verified User in Marketing and Advertising

Small-Business (50 or fewer emp.)

3/22/2020

"Experience with HBase"

4/5

What do you like best about Hbase?

I really love block cache support and bloom filters for real-time query processing. I do love HBase's failover support and load-sharing feature. Additionally, as compared with traditional databases, data reading and processing requires a small period of time. There is no specification for a fixed column scheme in HBase since it is schema-free. Consequently, it describes only families with columns. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

It results in unpredictable latencies when we try integrating HBase with Map-reduce jobs. There is a probability of failure at a time when only one HMaster is used. Review collected by and hosted on G2.com.

Jatin N.

Software Development Engineer (L60)

Enterprise (> 1000 emp.)

3/30/2020

"I used Hbase in my previous company to store payment related records and do reporting on top of it."

4/5

What do you like best about Hbase?

Hadoop being very slow for real-time reporting, we used connected tableau with HBase for real-time reporting. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

It is not possible to implement cross data operations like joins etc. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

If you need realtime reporting over big data, HBase is a good choice. It integrates well with BI tools like Tableau Review collected by and hosted on G2.com.

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

We needed a realtime reporting solution and Hadoop on MapReduce was very slow. So, we connected tableau with HBase and we were able to achieve near-realtime reporting. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

Enterprise (> 1000 emp.)

7/10/2020

"HBase Review"

4/5

What do you like best about Hbase?

split size and region can be customised. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

no tools like sql developer for hbase, hence our organization had to comeup with our inhouse tool to query hbase. Review collected by and hosted on G2.com.

Raghu R.

Member Of Technical Staff

Enterprise (> 1000 emp.)

5/9/2020

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

"I have around 5 years of experience in big data development."

5/5

What do you like best about Hbase?

Column family and best latency of retrieval of data. Hive integration made easier. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Nothing specific. Since I have not tired more on streaming with hbase. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

4/9/2020

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

"Great analytics with mapreduce"

4.5/5

What do you like best about Hbase?

Handle the large volume of data, fault tolerance, license free, very flexible on schema design/no fixed schema. Supports scaling out in coordination with Hadoop file system even on commodity hardware. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Sorting only on key, No handling of joins in database, Unpredictable latencies, No support SQL structure Built-in authentication Memory issues on the cluster Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

Hbase is best if you are looking for streaming ingest, fast lookups, massive datasets and to replace rdbms Review collected by and hosted on G2.com.

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

We are using mainly to store events that are generated realtime. Provides realtime with very less lag, helps businesses take decisions on the fly like fraud detection or building recommendation engines Review collected by and hosted on G2.com.

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

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

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??

1 Upvote

Join the conversation

Guest User

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

0 Upvotes

Join the conversation

View all Discussions