Stability and scaleability are the most important features in this software which I like. I deployed it over more than 20 servers it was easy to deploy and add new nodes. Review collected by and hosted on G2.com.

I have a little issue with its rest web service and also zookeeper sometimes crashes but its native clients where great Review collected by and hosted on G2.com.

HBase is part of the Hadoop stack makes it a no brainer for usage if you have a Hadoop cluster setup already. Running on top of your existing HDFS makes for an easy install and use. For most people using Hortonworks, Cloudera or MapR this is part of your default install. HBase works well with Apache Spark as well and makes for a great NOSQL solution for many use cases. It is very well documented and there's tons of articles on uses and tutorials. http://hbase.apache.org/book.html#jvm Review collected by and hosted on G2.com.

It could use a better query language. I would prefer if Phoenix was better integrated with HBase. Also they should include cell level security like Accumulo. Otherwise there's not much to dislike, it fits into the hadoop cluster and is easy to manage with Hue or Ambari. Review collected by and hosted on G2.com.

Low Latency, versioning row, consistency, Java API, interoperability with another software Review collected by and hosted on G2.com.

Tuning, compaction, configuration and settings Review collected by and hosted on G2.com.

- build from the ground up with strict consistency in mind, with the flexibility to relax the consistency level on an as-needed basis.

- easy to use shell provides both DML and DDL commands

- Java APIs are easy to use

- table and column family attributes can be customized per the use case

- built in auto-sharding capabilities

- replication is easy to setup and maintain

- native in-memory option

- native row versioning \ history capabilities

- fault-tolerant and self-healing

- plenty of good documentation, resources, blogs, etc Review collected by and hosted on G2.com.

- no known, full-featured, management GUI (stand-alone or web application) seems to exist at this time

- DDL and DML via shell is easy for simple operations, but becomes syntactically awkward for more complex operations Review collected by and hosted on G2.com.

1. Highly Scalable.

2. Out of the box load balancing.

3. Doing short RangeScans

4. Support for Coprocessors(Server side UDF's)

5. Strong Consistency.

6. Rich set of Filters.

7. Support for storing historical data.

8. Deep Intergration with Hadoop Platform.

9. Huge Community support.

10. Provides cell level security. Review collected by and hosted on G2.com.

HBase needs to integrate with Apache Phoenix OOTB so that users dont need to bother about reading and writing byte[] to and from HBase. OR It should provide high level constructs to read and write columns with DataType(like int, bigdecimal, short, etc..)

Its Documentation website can be improved and made more visual. Review collected by and hosted on G2.com.

Even though we cannot use it as a replacement of RDBMS,it suits number of use cases in Big Data space.In one among the use cases, the number of version for Hbase was kept as 1 (to simulate rdbms feature of maintaining only single version,not the version history of 3(default)) and used the feature Hive Hbase integration to read the Hbase table from Hive.So the application updates the Hbase table,and we used this table in etl flow along with other hive tables.

Note:Even if the version is greater than 1,Hive table which points to the Hbase table displays only the latest version Review collected by and hosted on G2.com.

You need to monitor all the Hbase daemons along with the other services in the ETL/Hadoop Cluster .And the rowkey definition should be done with at-most care,as the rowkey defines the performance of Hbase. Review collected by and hosted on G2.com.

1. Highly Scalable.

2. Rich set of data type.

3. API support multiple language. Review collected by and hosted on G2.com.

1. It is difficult to configure

2. Its Documentation website can be improved and made more visual. Review collected by and hosted on G2.com.

HBase is the right DB for any non-relational usecase. HBase operations run in real-time on its database rather than MapReduce jobs. It scales linearly to support billions of rows with millions of columns. Reliable and Fast Review collected by and hosted on G2.com.

Difficult for people who are building custom tools for SQL like purposes to understand HBase. Cannot be used for transactional datasets Review collected by and hosted on G2.com.

It's really fast and quite reliable. We manually instilled multiple namenode failures but it still worked flawlessly. Review collected by and hosted on G2.com.

People coming from traditional relational databases will have a hard time wrapping their heads around how HBase works. The lack of a stronger query language might cause other people to not use it. Review collected by and hosted on G2.com.

The speed. The complexity. The money saved. Review collected by and hosted on G2.com.

The configuration. The arbitrality of parameters. Review collected by and hosted on G2.com.