HBASE provide functionality to upload data in bulk or update data on Hadoop which hive does not provide as HBASE is nosql database. Review collected by and hosted on G2.com.
The commands and a bit structure of row key and column family. Review collected by and hosted on G2.com.
Variable Schema: columns can be added and removed dynamically.
Integration with Java client, Thrift and REST APIs.
Auto scaling, sharding and failover
Great integration with the ecosystem Review collected by and hosted on G2.com.
No transactions
Need to have Phoenix or some query layer on top of it, to take full advantage
No joins
Cannot store blobs
Resource intensive Review collected by and hosted on G2.com.
Hbase storage and processing speed and the way it works on a particular record as cell.
Can be easily connected with stream data kafka also. Review collected by and hosted on G2.com.
Commands is not easy to remember , i can understand since it is a nosql database Review collected by and hosted on G2.com.
Its speed and compatibility for huge data storage. Backup master nodes is also a plus point. I can store a lot of data using hbase is what attracts me the most. Review collected by and hosted on G2.com.
I do not like that it can only be indexed on key. I have difficulties sorting my database on various attribues because it can only be sorted on key. I think thats where it needs some improvement on. Review collected by and hosted on G2.com.
I like the how fluently hbase scales. The real time operations provide great infra for application development with real time data extraction. Review collected by and hosted on G2.com.
The Hbase is not so optimised for transnational datasets. Review collected by and hosted on G2.com.
It is open-source. Also , it is non-relational distributed database. Supports HDFS. Review collected by and hosted on G2.com.
Joins not used in database. Sorted only on key. Review collected by and hosted on G2.com.
Query mechanism
Ease of use with Java
Community support online Review collected by and hosted on G2.com.
Latency due to strong consistency.
Less languages supported Review collected by and hosted on G2.com.
It's integrated with Hadoop is very handy and useful feature. Requires less time to setup with Hadoop.
Easy Java API for client which gives easy access through programs.
In memory processing increase the speed than other DBs. Review collected by and hosted on G2.com.
Joins handled within MapReduce instead of database itself.
It should have built in authentication or permission model. Review collected by and hosted on G2.com.
It is a reliable service. The good thing about Hbase is its hive connectivity for firing sql like queries. Review collected by and hosted on G2.com.
The only thing of concern is its single point of failure. Review collected by and hosted on G2.com.
Similar to Google's bigtable and can be written in Java Review collected by and hosted on G2.com.
Incase if only if Hmaster is used, can be possibility of failure. Review collected by and hosted on G2.com.
Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.
What do you recommend for organizations considering Hbase for their database management needs?
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??
Averages based on real user reviews.
4 months
