HBase Reviews & Insights

Score7.3 out of 10

32 Reviews and Ratings

Community insights

TrustRadius Insights for Apache HBase are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Business Problems Solved

HBase has established itself as a crucial tool for various organizations, including PayPal, to store and retrieve records in near real time. Users have found that HBase excels in analytical use cases by providing faster lookup of records with consistent reads and writes, making it ideal for handling large datasets. It allows for faster querying of records compared to other NoSQL databases, resulting in improved data access and analysis capabilities. The ease of installation and configuration, thanks to its integration with the HDP Hortonworks stack, is another advantage that users appreciate.

One significant use case for HBase is as a data store for streaming data ingested through mechanisms like Apache NiFi, Apache Storm, Apache Spark Streaming, Apache Flink, and Streaming Analytics Manager. This allows organizations to efficiently manage and process continuous streams of data. Furthermore, HBase's ability to store structured, semi-structured, and unstructured data without requiring a pre-defined schema makes it a versatile choice for a range of applications.

Customers across industries have leveraged HBase successfully for their specific needs. In the retail sector, it serves as a datastore for product catalogs, session management systems, and revenue-generating platforms. Additionally, businesses involved in advertising and location analytics rely on HBase to generate locational information efficiently. Its scalability and read performance with avro data containing geospatial information make HBase preferable over alternatives like Cassandra.

HBase also plays a vital role in managing data within Apache Hadoop systems. It is used to create master data sets and reconcile conflicting data. Moreover, HBase serves as a secondary layer of storage that consolidates updates from upstream key-value stores.

While users highly recommend HBase for its data model consistency, scalability, and well-documented features, they do acknowledge the operational overhead associated with deploying and managing clusters. Nonetheless, this does not overshadow the significant benefits that organizations derive from using HBase to solve scalability and management issues related to multi-terabyte applications.

HBase Reviews

4 Reviews

Mid-sized Companies (51-1,000 employees)

HBASE!!!

Rating: 8 out of 10

Incentivized

December 13, 2018

Use Cases and Deployment Scope

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

Pros

Excellent for read performance
Great store of file format of avro
Easy integration into mapreduce
Replication ability

Cons

Write performance
Performance support for parquet file format. supports, but performance wise still not there
API / library availability for spark, rather than creating a new library for it

Likelihood to Recommend

It does depend on the use case scenario. It works really well if your schema doesn't really need relational features. It's really good for that. If you want to run as transactional, not a good idea. Relational analytics is not good for this, as well as edge network data. If you're using PB of data, then HBASE is best suited in this case as well.

Anson Abraham

Data Lord in Engineering at Envisagenics, Inc. (Marketing and Advertising, 51-200 employees)

Vetted Review

5 years of experience

View profile

No SQL Database to Support Near Real Time Analytics

Rating: 8 out of 10

Incentivized

April 19, 2018

Use Cases and Deployment Scope

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.

Pros

Faster lookup of records using the row keys. It helped to fetch thousands of records in a much faster way using the row keys
As it is a columnar data store, helped us to improve the query performance and aggregations
Sharding helps us to optimize the data storage and retrieval. HBase provides automatic or manually sharding of tables.
Dynamic addition of columns and column family helped us to modify the schema with ease.

Cons

Identified issues with Hmaster when handling a huge number of nodes
Cannot have multiple indexes as row key is the only column which could be indexed.
HBase does not support partial row keys which limit its query performance.

Likelihood to Recommend

Hbase is well suited for large organizations with millions of operations performing on tables, real-time lookup of records in a table, range queries, random reads and writes and online analytics operations.

Hbase cannot be replaced for traditional databases as it cannot support all the features, CPU and memory intensive. Observed increased latency when using with MapReduce job joins.

Vinaybabu Raghunandha Naidu

Software Engineer - Big Data Platform in Engineering at Wish - Shopping Made Fun! (Computer Software, 201-500 employees)

Vetted Review

1 year of experience

View profile

HBase, The Only Enterprise NoSQL Choice

Rating: 10 out of 10

Incentivized

April 6, 2018

Use Cases and Deployment Scope

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.

Pros

Scalability. HBase can scale to trillions of records.
Fast. HBase is extremely fast to scan values or retrieve individual records by key.
HBase can be accessed by standard SQL via Apache Phoenix.
Integrated. I can easily store and retrieve data from HBase using Apache Spark.
It is easy to set up DR and backups.
Ingest. It is easy to ingest data into HBase via shell, Java, Apache NiFi, Storm, Spark, Flink, Python and other means.

Cons

Not for small data
Requires a cluster

Likelihood to Recommend

HBase is well suited for streaming ingest, fast lookups, massive datasets, data warehouse lookup tables, RDBMS replacement, MongoDB replacement, key-value store, data scans, logs, JSON storage and some binary storage.

My preferred use case is for storing data points like time series or data produced by sensors.

I often use HBase when I need data available immediately and I am not looking for transactions. This is a great store for really wide tables with tons of columns. It is also great if you are not sure what type of data you are going to have. It really excels at sparse data.

Timothy Spann

Senior Solutions Engineer in Sales at Hortonworks (Computer Software, 501-1000 employees)

Vetted Review

Reseller

4 years of experience

View profile

HBase

Rating: 10 out of 10

Incentivized

September 13, 2017

Use Cases and Deployment Scope

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.

Pros

HBase data access and retrieval only gets better with larger scale.
Fault tolerance is built in, if you have unreliable hardware, HBase will make every effort to keep your data online.
Extremely fast key lookups and write throughput.

Cons

Multi-tenancy is still work in progress
Usability and beginner friendliness
It has a bad reputation of being complex

Likelihood to Recommend

HBase typically fits well in low latency, tight SLA scenarios. It is not recommended to be used in situations where a relational database would fit better. So in essence, if you're trying to do a lot of analytical workloads or joins, HBase wouldn't fit so well. If primary key access is sufficient, then HBase is a good fit.

Verified User

Engineer in Information Technology (Computer Software company, 501-1000 employees)

Vetted Review

Reseller

3 years of experience

Loading Reviews List....

HBase, The Only Enterprise NoSQL Choice

Rating: 10 out of 10

Incentivized

April 6, 2018

Use Cases and Deployment Scope

Pros

Scalability. HBase can scale to trillions of records.
Fast. HBase is extremely fast to scan values or retrieve individual records by key.
HBase can be accessed by standard SQL via Apache Phoenix.
Integrated. I can easily store and retrieve data from HBase using Apache Spark.
It is easy to set up DR and backups.
Ingest. It is easy to ingest data into HBase via shell, Java, Apache NiFi, Storm, Spark, Flink, Python and other means.

Cons

Not for small data
Requires a cluster

Likelihood to Recommend

Timothy Spann

Senior Solutions Engineer in Sales at Hortonworks (Computer Software, 501-1000 employees)

Vetted Review

Reseller

4 years of experience

View profile