Hadoop database is one of the best feature. Also it has a lot of features Review collected by and hosted on G2.com.
Can be improved like direct connection to visualization tools Review collected by and hosted on G2.com.
Fetching of data from tables in different region servers is pretty fast. Designing the key which would act as an index for fetching data is a bit complicated but helps in speedy data retrieval. The java api to fetch data from HBase is pretty straightforward and makes it easy in integrating with RESTful web services. Review collected by and hosted on G2.com.
There is no offset based pagination so if the tables are designed in a tall narrow format, it is impossible to use a combination of offset & limit to query the database for results. Have to use Apache Solr or Apache Pheonix for implementing the indexing functionality which adds to overhead costs and introduces one more dependency in the stack. Review collected by and hosted on G2.com.
it has the same syntax as SQL and easy to code in shell. Review collected by and hosted on G2.com.
sometimes it is slow with huge data, it cannot handle column based data. Review collected by and hosted on G2.com.
Hi , Hbase is very useful for random search requirements dealing with real time data processing as compared to just batch processing capabilities of other hadoop tools. A combination of Hbase with elasticsearch can help build real-time applications Review collected by and hosted on G2.com.
Nothing apart from the fact that users can get into troubleshooting issues that are sometimes hard to solve Review collected by and hosted on G2.com.
NoSql solution, columnar structure, nice performance Review collected by and hosted on G2.com.
Nothing as such. Support for more etl technologies would be better Review collected by and hosted on G2.com.
Faster, cost-effective, scalability, better version control Review collected by and hosted on G2.com.
Tough query standards and support, comparatively hard to integrate with map-reduce etc.. Review collected by and hosted on G2.com.
Scalability of handling the large amount of data Review collected by and hosted on G2.com.
I was facing an issue related to dumping the HBase data into Hive, but in the end, we completed the task. Review collected by and hosted on G2.com.
Auto failover, variable schema, integration with java client , Auto partitioning Review collected by and hosted on G2.com.
Joins doesn’t work in this at the time when I used to work. Review collected by and hosted on G2.com.
Key value pair data structure to store the data and flexibility to alter the table to add new column in existing column family good to address new columns /fields in source data Review collected by and hosted on G2.com.
No SQL like native interface though we can use phoenix Review collected by and hosted on G2.com.
It's very fast and efficient to access the Data and can handle large datasets with ease. And the best part it's open source Review collected by and hosted on G2.com.
Possibility of failure when using only one master node. Cannot implement any cross data operations since it takes a lot of time to design and develop. Review collected by and hosted on G2.com.
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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
