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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Dhharvi S.

System Engineer

Information Technology and Services

Enterprise (> 1000 emp.)

6/17/2017

"NoSQL Hadoop Storage"

4/5

What do you like best about Hbase?

Hbase can efficiently handle huge amount of data. It is fault tolerance. This is an out of box component of Hadoop, so we do not have to purchase it. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

The major drawback of Hbase is that we cannot perform joins in it, that is a very basic thing expected in a database. Here we have single point of failure i.e., Hbase Master, on failure of which the whole hbase stops functioning. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

Hbase is highly recommended, if we want to store bulk data and are not expecting to fetch SQL like results. Though nowadays, we have tools coming up which can fetch data from hbase and then we can perform our normal transnational queries. Review collected by and hosted on G2.com.

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

We are storing all the data from traditional file system to Big data, and storing in Hbase at the end of the day. Review collected by and hosted on G2.com.

Souvik D.

Senior Software Engineer

Information Technology and Services

Enterprise (> 1000 emp.)

6/1/2017

"No SQL Storage"

4.5/5

What do you like best about Hbase?

Storing bulk data on Hadoop file system, using NoSQL database. Ease of handling bulk data Review collected by and hosted on G2.com.

What do you dislike about Hbase?

As it is a NoSQL tool, we cannot fire normal SQL queries, to fetch data from the same Review collected by and hosted on G2.com.

Verified User in Internet

Enterprise (> 1000 emp.)

11/9/2017

"High scalable and nice architecture"

4.5/5

What do you like best about Hbase?

Scaling capability to 100 of nodes and super fast Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Two many processes makes it hard to manage Review collected by and hosted on G2.com.

Suraj Kumar D.

Senior Engineer

Small-Business (50 or fewer emp.)

5/11/2017

"HBase is better than Oracle."

5/5

What do you like best about Hbase?

It is open source, written in Java, and it is non-relational. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

SQL integration layer is a bit complex, and it runs particularly on UNIX Review collected by and hosted on G2.com.

Tuan T.

Research Engineer

Research

Mid-Market (51-1000 emp.)

7/9/2016

"Experience with HBase"

4/5

What do you like best about Hbase?

HBase is a good solution if you are kind of SQL guy and you work in Hadoop ecosystem, and you don't want to write a lot of code to handle the low-level HDFS I/O. HBase is really fast, and can store a very big data with hundreds of columns. Also, HBase is bundled in Cloudera, and has a very active community of supporters. You can easily find answers for your questions in StackOverflow or elsewhere. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

HBase takes many extra hard-disk, because it builds many index for one table. Also, you have to be careful if you want to get the best trade-offs between writing and querying - fine tuning is necessary. HBase is also too level to support some kind of data schema such as time series. For that, you usually need to install other database on top of it, such as OpenTSDB. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

If you are just beginning to use Hadoop, and you are looking for something similar to SQL database to work with, HBase is an easy solution. It is built-in in many Hadoop vendor, which makes your life easier setting things up. Review collected by and hosted on G2.com.

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

I need to store my data extracted from raw Web archives to be able to easily query it later, and for my colleagues who are more familiar with SQL to work with. HBase seems to be a proper option, since we have Cloudera in our house anyway. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

6/20/2017

"Hbase : Hadoop DB"

4/5

What do you like best about Hbase?

The query and structured storage of big data. Can be connected via different platform or programming language. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

I have not found anything to dislike in hbase. Sequential processing takes more time for big data and as data size increases. Review collected by and hosted on G2.com.

Verified User in Newspapers

Enterprise (> 1000 emp.)

10/18/2016

"The right solution only for the right use cases"

3/5

What do you like best about Hbase?

With HBase, you get what you asked for. HBase is great because it's an open-source, well-known Apache project. As a result, the community and documentation are well-developed -- most likely, any issue you run into will be on StackOverflow. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Unless you're buying into a fully-managed, bare-metal Hadoop environment, I'd say you should first look into what cloud-providers offer in terms of HBase-like, columnar databases. Check out Google Cloud Platform or Amazon Web Services before ever installing HBase from Apache, Cloudera, HortonWorks, etc., and even then, know that cloud instances are expensive. In addition, I'd make sure that a columnar database is even what you need. In most cases, a traditional relational database is probably just fine for your use case, as you'll later find exporting data from HBase or using HBase for a variety of queries is a lot of work. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

First consider if you need a columnar database. If you're absolutely sure that the benefits outweigh the price, then look into cloud providers with fully-managed columnar databases. Review collected by and hosted on G2.com.

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

I've used HBase for both look-ups and time-series data. It's great for when you know what your queries will be, but exporting data, especially for regulatory requirements, was more complex than it needed to be. Review collected by and hosted on G2.com.

Anson A.

Data Czar

Mid-Market (51-1000 emp.)

1/12/2017

"hbase CDH"

2.5/5

What do you like best about Hbase?

Easy to set up, and easy to use. Fact that it sits on top of hdfs is even better Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Not very easy to diagnose issues. GC tuning is a real p.i.t.a. Review collected by and hosted on G2.com.

Verified User in Non-Profit Organization Management

Mid-Market (51-1000 emp.)

10/24/2016

"It is a very helpful product"

3.5/5

What do you like best about Hbase?

HBase is very much a developer-centric database. Hbase is built on Hadoop ecosystem, stored procedures through coprocessors and consistent Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Doesn't have a easy query language like SQL, too complex and too many variable parts, mostly can only be used with single node cluster Review collected by and hosted on G2.com.

Guy T.

Software Engineer

Internet

Mid-Market (51-1000 emp.)

1/26/2016

"Open source NoSQL database providing consistency and partitioning"

4.5/5

What do you like best about Hbase?

High performance overall. Open source nature makes it easy to contribute and review the internals of the project. Also makes it easy for tools adding functionality to be built and integrated on top. Costs nothing. Well supported by PAAS providers such as AWS.

Consistency ensures correct results will be found, though they may take longer.

Can use SQL like language through integration with Apache Hive, allowing users new to NoSQL databases to limit the initial learning curve. Review collected by and hosted on G2.com.

What do you dislike about Hbase?

Choice of consistency and partitioning at the expense of availability results in some queries taking longer than necessary.

Ability to use SQL like language can lead users to view it as suitable for traditional relational DB use cases when this is not the case. Review collected by and hosted on G2.com.

Recommendations to others considering Hbase:

If availability is not your number one priority and you are looking for a well established, stable and easy to use NoSQL columnar database this is probably the best option out there. However if heading into the cloud vendors' own solutions (ie AWS' DynamoDB) may be worth examining first. Review collected by and hosted on G2.com.

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

NoSQL database capable of integrating with Hadoop mapreduce jobs. Partitioning for scalability as the number 1 concern allowing for simple future expansion due to running on top of HDFS. 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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