HBase as the brother of big data
I use HBase because it is a NoSQL database and it is open sourced and can store big data. We can store any structured, semi-structured and …
Overview
What is HBase?
The Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.
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- Availability (5)7.878%
- Security (5)7.878%
- Performance (5)7.171%
- Concurrency (5)7.070%
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What is HBase?
The Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.
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What is MarkLogic Server?
MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.
What is Couchbase Capella?
The Couchbase Capella product is a fully managed DBaaS automating setup and ongoing operations.
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HBase Technical Details
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| Mobile Application | No |
Frequently Asked Questions
The Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.
Reviewers rate Scalability highest, with a score of 8.6.
The most common users of HBase are from Enterprises (1,001+ employees).
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(32)Attribute Ratings
Reviews
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March 16, 2019
HBase as the brother of big data
- Positive: Open source, easy to use, good to store big data.
- Negative: SQL functionalities are not available.
- More memory utilization
- More troubleshooting
December 14, 2018
An Amazing Experience
- As Hbase is a noSql database, here we don't have transaction support and we cannot do many operations on the data.
- Not having the feature of primary or a composite primary key is an issue as the architecture to be defined cannot be the same legacy type. Also the transaction concept is not applicable here.
- The way data is printed on console is not so user-friendly. So we had to use some abstraction over HBase (eg apache phoenix) which means there is one new component to handle.
December 13, 2018
HBASE!!!
- Negative ROI has been on hardware usage. When used frequently, we have had constant disk failures. As a result, it requires HDD replacements.
- But with disk failures, HA is available, however, to a certain extent.
- Large datasets helped causality issues to be mitigated.
April 19, 2018
No SQL Database to Support Near Real Time Analytics
- It supports the near real-time use cases when integrated with Spark Streaming.
- It helps to store huge volume of records with consistent reads/writes.
- Maintenance is the pain point as it requires some maintenance and monitoring of regional servers and nodes
April 06, 2018
HBase, The Only Enterprise NoSQL Choice
- It is affordable, so it saves money
- It scales, so it allows for storage of everything, saving valuable data
- It removes the need for expensive proprietary data stores
- It saves money by allowing for offload from expensive RDBMS and paid storage
September 13, 2017
HBase
- We were able to scale our application from 5TB running in a relational database to 20TB on top of HBase
- Application availability was always high even with half of the nodes having hardware issues
- HBase can be used with standard mechanical harddrive storage. There's no need for fancy SAN or NAS storage with HBase which is almost always expensive.
April 14, 2017
HBase - good for UI performance from a Hadoop cluster
- Facilitates building of UI tools that provide valuable business insights
April 04, 2017
Support for HBase
- Easy to understand the underlying data model and find engineers to leverage and operate it.
- Easy to look up related issues and corresponding solutions to handle those issues.
June 20, 2016
HBase - a scaleable, consistent data store
- Good ROI
- Highly available
November 25, 2015
Apache HBase: Through the Looking Glass!
- Faster data insights
- Better customer service