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.
In HBase, there is no support for the transaction. Review collected by and hosted on G2.com.
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.
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.
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.
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.
Hbase and Hive connectivity , faster retrieval of data Review collected by and hosted on G2.com.
You have to write code majorly in Java to access data residing in Hbase Review collected by and hosted on G2.com.
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.
there are slightly fewer tutorials for beginner to understand the HBase Review collected by and hosted on G2.com.
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.
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.
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.
It is not possible to implement cross data operations like joins etc. Review collected by and hosted on G2.com.
split size and region can be customised. Review collected by and hosted on G2.com.
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.
Column family and best latency of retrieval of data. Hive integration made easier. Review collected by and hosted on G2.com.
Nothing specific. Since I have not tired more on streaming with hbase. Review collected by and hosted on G2.com.
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.
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.
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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
