HBase

HBase

About TrustRadius Scoring
Score 7.5 out of 100
Apache HBase

Overview

Recent Reviews

HBASE!!!

8 out of 10
December 13, 2018
HBase is used as part of the company's main revenue generating platform. We're using it store data with usages of mapreduce, generates …
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HBase

10 out of 10
September 13, 2017
HBase solves problems of scalability and management of multi-terabyte applications. It makes scaling to +1 nodes very easy, especially …
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Support for HBase

7 out of 10
April 04, 2017
It is used as a data store that consolidates the updates from the upstream key-value store where upstream store only stores the updates …
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Awards

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Popular Features

View all 7 features

Availability (5)

7.8
78%

Security (5)

7.8
78%

Performance (5)

7.1
71%

Concurrency (5)

7.0
70%

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Pricing

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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.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Alternatives Pricing

What is Amazon DynamoDB?

Amazon DynamoDB is a NoSQL database, from Amazon Web Services.

What is Redis™*?

Redis is an open source in-memory data structure server and NoSQL database.

Features Scorecard

NoSQL Databases

7.7
77%

Product Details

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.

HBase Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Frequently Asked Questions

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.

What is HBase's best feature?

Reviewers rate Scalability highest, with a score of 8.6.

Who uses HBase?

The most common users of HBase are from Enterprises (1,001+ employees) and the Computer Software industry.

Reviews and Ratings

 (32)

Ratings

Reviews

(1-10 of 10)
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RAVI MISHRA | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
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 unstructured data easily. One other major benefit is, it is a columnar database so no need to specify any schema. I generally use it when I store the streaming data, the analysis is also faster after connecting the HBase with Spark. HBase is a mature database so we can connect HBase with various execution engine and other component using JDBC.
December 13, 2018

HBASE!!!

Anson Abraham | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
HBase is used as part of the company's main revenue generating platform. We're using it store data with usages of mapreduce, generates locational information for advertising business and location analytics. Storage wise, it made sense to use HBASE over Cassandra, as well as for read performance with avro data with geospatial information in the data
Vinaybabu Raghunandha Naidu | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
HBase was used in my previous organization(PayPal) where we needed a database for storing and retrieving records in near real time. It was used within consumer analytics and other sub-teams. It supported our near real-time use analytical cases by proving a faster lookup of records with consistency reads/writes. Apart from that, helped in querying the records much faster than other NoSQL databases.
Timothy Spann | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Review Source
HBase is being used by multiple organizations and internally it is used company-wide. it solves a large range of problems and provides unique solutions when we need a NoSQL store.

HBase provides the best of breed solutions for any NoSQL storage needs. One of the main important features is it is part of the HDP Hortonworks stack so it is installed by default so there's nothing else to install or configure. It is easy to administer with Ambari and scales to any size I need. It runs on top of HDFS so my data is safe, secure and scalable.

I use it as a store for data that is ingested via various streaming mechanisms including Apache NiFi, Apache Storm, Apache Spark Streaming, Apache Flink and Streaming Analytics Manager. It provides an easy key-value type store with fast scans for data access. I also run Apache Phoenix on top to provide a fast clean SQL interface to all of my data.
September 13, 2017

HBase

Score 10 out of 10
Vetted Review
Reseller
Review Source
HBase solves problems of scalability and management of multi-terabyte applications. It makes scaling to +1 nodes very easy, especially through Ambari. It is built with fault tolerance and availability in mind. You can use it on a single node but it shines on multi-node infrastructure. With high data access speed and resiliency, I wouldn't recommend any other NoSQL database for general use.
April 04, 2017

Support for HBase

Chen Jin | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
It is used as a data store that consolidates the updates from the upstream key-value store where upstream store only stores the updates that meet the high qps and low latency. HBase is the secondary layer of the storage that consolidate all the updates for a given row key and serves as a upstream for hive table.
Score 7 out of 10
Vetted Review
Verified User
Review Source
We use HBase as a secondary data store. We chose it mainly for its strongly consistent data model, and scalability. It has a pretty good documentation and a strong and active developer community that is still growing. The main downside is its many moving parts and operational overhead of deploying and managing clusters.