Hbase Reviews & Product Details

Hbase Overview

What is Hbase?

A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.

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Product Description

A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.


Seller Details
Seller
The Apache Software Foundation
Company Website
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
59,051 Twitter followers
LinkedIn® Page
www.linkedin.com
1,934 employees on LinkedIn®
Description

Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

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Hbase Reviews

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software Engineering analyst
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: Invitation from G2
What do you like best?

The most helpful thing is that it eases out the work you do. The upsides of using hbase is the user friendliness that it provides. This technology is gaining a lot of importance these days.

Other helpful features are a variety of commands that it provides. Apart from that you would explore a lot of upsides when you actually start working on this great and helpful technology.Since hbase is a no sql database so the users dealing with massive data or big data will find it really helpful to work with hbase. This technology is a great upside in this field and certainly gonna be a leader on upcoming days. When you are dealing with a huge velocity and volume of data this technology comes out to be a saviour. I highly recommend use of hbase instead of conventional technologies. Review collected by and hosted on G2.com.

What do you dislike?

The least helpful about hbase I think is the lack of some common features that are available with similar technologies available in the market. The downsides of hbase hence could be improved. For a technology to become popular the least helpful needs to be ommited out and the downsides could be removed. Technologically I found out that when only one Hmaster is used, there could be a possibility of failure. Since joins are handled in MapR layer. Since a traditional RDBMS is index on multiple columns Hbase is only index on a key. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

For those looking at hbase, First of all you should have a prior knowledge of the traditional rdms systems then only you would be able to make the best out of it. These big data systems are really helpful and gaining a lot of popularity. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Hbase has impacted by work significantly in the past 2-3 years. The use of hbase has made me deal with the unstructured data in a much more convenient way than I used to struggle with other technologies. For a technology to make a huge impact it should be usef friendly enough and hbase has left no stone unturned except a few :). Hbase is a one stop solution for dealing with data problems. So you name a data problem and hbase has a solution. It has significantly impacted users across the world. Review collected by and hosted on G2.com.

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Data Science-Analyst
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

The speed at which querying is possible in Hbase, with large datasets. Working alongside a hadoop based environment, with huge clusters, Hbase really made the database querying part a lot easier. Review collected by and hosted on G2.com.

What do you dislike?

The Java API. Although it is updated quite regularly, but I wish it was made a little bit easier to use. I needed to make an external Java program for a Sanity job on an Hbase cluster, and it took me a month to write clean, consistent and reliable code which would as expected everytime. Pretty sure it would have been much easier in Scala, but the requirement was for Java. Hence, I think the API might need a little improvement. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Internal security data for the client was stored in Hbase tables. This data was huge in size and due to some new guidelines, needed to be extracted quite often. We solved this by implementing Hbase in our hadoop clusters, and migrating the data to Hbase tables. The main benefit was speed. Review collected by and hosted on G2.com.

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Data Scientist III
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

The ease of use of Apache HBase is a good thing but the thing that stands out for us was the performance.

RestAPI calls are also a great assets.

Ease to integrate with Apache Solr and Helix for visualizations is amazing. Review collected by and hosted on G2.com.

What do you dislike?

Aggregate functions could be more optimized or run faster. Real-time aggregation can be improved. OLAP queries are really slow on HBase and can be improved. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Choose between performance and OLAP. If you want to do more OLAP then maybe you can find something else in the market. But for ease of use and OLTP HBase is one of the best. Rest API access for data is one of the prime reasons you may be inclined to use this great and stable product. If you are looking for data stores having better support for visualizations then may be you can give it a pass.

Hadoop is already stable and the database on top of it is a great cherry on the cake. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

I use HBase to store billions of records of my tables and query them seamlessly and randomly with great performance.

Before HBase we were stuck on a simple file system and we tried Hive but Hive being relational database lacked the performance which we needed.

We also needed RestAPI which was a great feature to have as an easy to use access method.

Major benefits are ease to connect with Solr and then great visualizations using Banana. Also integration with Helix is cool feature. Review collected by and hosted on G2.com.

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Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

Handling very large datasets comfortably and behaving like a DBMS on Hadoop, although not relational. Also, we have the parameter to tune for Consistency/Availability so that it could be tuned depending on the business requirement. Review collected by and hosted on G2.com.

What do you dislike?

The complications in getting started with HBase - Installation of HBase on top of Hadoop is tricky and querying for HBase differs a lot compared to other NoSqls like Cassandra, so there is a few days of learning phase. The learning of how to use HBase for storing tables and querying it is not at all intuitive for someone from SQL background. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

HBase is a reliable opensource NoSql datastore for handling big data loads. Invest time in training the team in using HBase and you won't have much hassle in production. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Comfortably querying a very large data in near real time so that the result could be used by a ML model. The use case is Fraud Detection in real time for card transactions.

The benefits over having the data simply over HDFS are many, the result would not have been possible in near real time. The benefits over other NoSqls is the reliability of HBase in dealing with huge datasets. Review collected by and hosted on G2.com.

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Senior Software Developer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

The following features which i really liked for Hbase are:

1) Strong consistency – writes and reads are always consistent as compared to eventually consistent databases like

Cassandra.

2) Proven scalability to dozens of petabytes.

3) Auto-sharding.

4) Scaling with commodity hardware.

5) Cost-effective from gigabytes to petabytes. Review collected by and hosted on G2.com.

What do you dislike?

HBase is really tough for querying. We may have to integrate HBase with some SQL layers like Apache phoenix where we can write queries to trigger the data in the HBase. It's really good to have Apache Phoenix on top of HBase.

Also,another drawback with HBase is that, we cannot have more than one indexing in the table, only row key column acts as a primary key. So, the performance would be slow when we wanted to search on more than one field or other than Row key. This problem we can overcome by writing MapReduce code, integrating with Apache SOLR and with Apache Phoenix. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

HBase is natively integrated with Hadoop and can work seamlessly with other data access engines such as Apache Spark, Apache Hive, and MapR Database Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Some benefits/suggestions for HBASE are:

1) Can store large data sets on top of HDFS file storage and will aggregate and analyze billions of rows present in the HBase tables

2)In HBase, the database can be shared

Operations such as data reading and processing will take small amount of time as compared to traditional relational models

3)Random read and write operations

4)For online analytical operations, HBase is used extensively.

For example: In banking applications such as real-time data updates in ATM machines, HBase can be used. Review collected by and hosted on G2.com.

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System Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

It is an Open source platform for learners, has the capability to handle BigTable, fault-tolerant capacity, a grouping of records in billions, cross-platform. because of its lineage with Hadoop and HDFS. HBase runs on top of HDFS and is well-suited for faster read and write operations on large datasets with high throughput and low input/output latency.

Memory compression provided by it is super awesome. It is a distributed and scalable platform. It can work with structured as well as instructed data. Wide-column. HBase stores data in a table-like format with the ability to store billions of rows with millions of columns. Columns can be grouped together in column families, which allows the physical distribution of row values on different cluster nodes. Consistent. HBase is architected to have strongly consistent reads and writes, as opposed to other NoSQL databases, like Cassandra, that are eventually consistent. Once a writer has been performed, all read requests for that data will return the same value. Failover. HBase tables are replicated for failover.HBase was designed to scale; data that is accessed together are stored together. Grouping the data by row key is central to running on a cluster. In HBase, the data is automatically distributed across a cluster. Sharding distributes different data across multiple servers, and each server is the source for a subset of data. Distributed data is accessed together, which makes it faster for scaling. Review collected by and hosted on G2.com.

What do you dislike?

It is one of the best sources but lacks in SQL Scripting. With a relational database, you normalize your schema, which eliminates redundant data and makes storage efficient. Indexes and queries with joins are used to bring the data back together again. Indexes slow down data ingestion with lots of nonsequential disks I/O and joins cause bottlenecks on reads with lots of data. The relational model does not scale horizontally across a cluster.HDFS is written in Java on top of the Linux file system and is a write-once storage layer. Updates to closed files are conducted via an append process. The batch updates of HDFS are a major limitation. There is no support for continuous updates to a file. Moreover, HDFS relies on the underlying Linux file system to store the HDFS content.

The NameNode, the part of the master node that identifies the location of each file block, has scalability and reliability issues. NameNodes are hard to configure, and as they are replicated so as not to become single points of failure, configuration gets even harder. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

It provides many features like Set of tables.

Each table consists of column families and rows.

Row key acts as a Primary key in HBase.

Any access to HBase tables uses this Primary Key.

Each column qualifier present in HBase denotes attributes corresponding to the object which resides in the cell. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

The problem I found is that Map Reduce required JAVA for running Hadoop Jobs it should be made independent of languages so that it's easy for the novice users. With other Hadoop distributions, HBase runs on top of the Hadoop Distributed File System (HDFS), the Hadoop bottom layer component for storage.

HBase is used in cases where we need random read and write operations and it can perform a number of operations per second on large data sets.

HBase gives strong data consistency.

It can handle very large tables with billions of rows and millions of columns on top of commodity hardware cluster. Review collected by and hosted on G2.com.

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Big Data Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best?

1. Can serve multiple queries and handle it very effectively.

2.Can store large data sets on top of HDFS file storage and will aggregate and analyze billions of rows.

3. Due to its architecture we can use it in creating our ML models. Review collected by and hosted on G2.com.

What do you dislike?

It should have web interface also like other services have.

No support for transaction.

And lack of sql query Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

My USE CASE - Transforming our data in hbase and using in Ml Models

I was storing the mapreduce output (800 GB) to Hbase. Then I had integrated hbase with apache phoenix as I had to perform read operations using AND and OR conditions. I have created the API on top of Hbase and given it to my client.

What i realised is your query is serving very fast. Review collected by and hosted on G2.com.

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Assistant System Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

I use Hbase to integrate it with REST API's and Java client. It is also very helpful in storing very huge client's secure data and querying it very effectively. We can scale the database when required. Review collected by and hosted on G2.com.

What do you dislike?

In my opinion, transaction support is not helpful by Hbase and also no built in authentication is available. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

It is very helpful to store large amounts of data and query it dynamically. You can also integrate it with REST API's and Java client libraries according to your requirements. So make the most of it by learning Hbase. Thank you. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

I use Hbase to store a very huge client's data and query it dynamically. I also use Hbase to integrate it with REST API's and Java client. Review collected by and hosted on G2.com.

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Data Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

good for random read,write operations, can be integrated to apache phoenix, architecture wise it is simple, good concept of column. family to make read operations faster Review collected by and hosted on G2.com.

What do you dislike?

hbase is not easy to integrate with MapReduce.

Setup wise it is a bit challenging

There are many columnar databases like Cassandra etc which are better than hbase Review collected by and hosted on G2.com.

Recommendations to others considering the product:

performance wise it is fine, just the administration work is a bit challenging. when I was using base in 2016 it was not much stable Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

i was storing the mapreduce output (800 GB) to Hbase. Then I had integrated hbase with apache phoenix as I had to perform read operations using AND and OR conditions. I have created the API on top of Hbase and given it to my client Review collected by and hosted on G2.com.

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Associate System Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

It is a columnary multidimensional database and is versatile. No fixed structure like normal database. It has MapReduce and Hive/Pig integration for operational needs. Ut us dynamic and It can be modified on runtime. Review collected by and hosted on G2.com.

What do you dislike?

We cannot have cross operations like joins in Hbase we can Implement ghis using MapReduce but it taked lot of time. It is tough for querying. It is also a time taking process if we want to Insert data from a relational database to hbase. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Storing unstructured real time data like videos, pdf, files, images etc in the same database like never before and can manage them easily dynamically.

We cannot have more than one indexing but a rowkey to have primary key. Review collected by and hosted on G2.com.

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Manager - Data Analytics
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

1. HBase can handle as well as stores large datasets on top of HDFS file storage. Moreover, it aggregates and analyzes billions of rows present in the HBase tables.

2. Databases breakdown.As compared to traditional dataBase, data reading and processing in HBase will take the small amount of time.

3. Scalability is supported in both linear and modular form

4. There is no concept of fixed columns schema in HBase Review collected by and hosted on G2.com.

What do you dislike?

1. Single point of failure

2. There is no support for the transaction

3. No handling of JOINS in database

4. Sorted only on key

5. There is no permissions or built-in authentication Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Projects in Healthcare and Pharma domain and using NLP. Review collected by and hosted on G2.com.

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Associate Software Engineer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

Best thing I love about hbase is I could use storage badly that means I also needed to use that data by retrieveing. In order to do that hbase is good option as I use it to store data and it's Java API Client helps me use that for multiple applications. Review collected by and hosted on G2.com.

What do you dislike?

Data arrangement is only on a key based it consumes time for any transaction. As it's key based sorting doesn't works out much efficiently incase of diving through huge data Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Whoever looking for both data storage and provision to other applications I would highly recommend using HBase Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

instead of maintaining database and other services to provide data to other applications Hbase comes with combined features. Review collected by and hosted on G2.com.

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Software Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

In HBase, there is no support for the transaction. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

don’t expect to use HBase as a wholesale replacement for every one of your relational databases. HBase is great at many things but it doesn’t replace relational databases. For a start, it doesn’t talk SQL, have an optimizer, support cross record transactions or joins. If you don’t use any of these in your database application then HBase could very well be the perfect fit. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

As compared to traditional dataBase, data reading and processing in HBase will take the small amount of time. Review collected by and hosted on G2.com.

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Hadoop Developer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

I would adivce to try HBase to leverage their working capabilities of your reporting for faster access of data. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Chat Bot creation on Slack using Java API with HBase (data storing and retrieval of data based on users query) and Python script for AI ML for understanding human interactions. Review collected by and hosted on G2.com.

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Data Engineer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

Hbase is good no all database where huge amount of data and processing is involved Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Dealing with huge sensor data and building simulation model on top of that.hbase is must faster in processing the data Review collected by and hosted on G2.com.

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Senior Technical Consultant
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from the seller
What do you like best?

Hbase and Hive connectivity , faster retrieval of data Review collected by and hosted on G2.com.

What do you dislike?

You have to write code majorly in Java to access data residing in Hbase Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We are using Hbase as a backend to our web application. Hbase is way superior than traditional RDBMS systems Review collected by and hosted on G2.com.

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Assistant System Engineer Trainee
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

there are slightly fewer tutorials for beginner to understand the HBase Review collected by and hosted on G2.com.

Recommendations to others considering the product:

to understand the document database the best choice is hbase Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

I just start my new project that related to music analysis and the database that I used is Hbase Review collected by and hosted on G2.com.

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AM
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

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.

What problems are you solving with the product? What benefits have you realized?

I'm using HBase for recording and storing logs about customer search history. The core benefit of using HBase, in this case, is performing analytics and then target advertisement for better business. Review collected by and hosted on G2.com.

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Software Development Engineer (L60)
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

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.

What do you dislike?

It is not possible to implement cross data operations like joins etc. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

If you need realtime reporting over big data, HBase is a good choice. It integrates well with BI tools like Tableau Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We needed a realtime reporting solution and Hadoop on MapReduce was very slow. So, we connected tableau with HBase and we were able to achieve near-realtime reporting. Review collected by and hosted on G2.com.

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UH
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

split size and region can be customised. Review collected by and hosted on G2.com.

What do you dislike?

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.

What problems are you solving with the product? What benefits have you realized?

Working in an healthcare industry we have huge data and Hbase solves the purpose of structurally managing and indexing this massive amount of data. The Key Value pair also makes the data retrieval faster. Review collected by and hosted on G2.com.

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Member Of Technical Staff
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best?

Column family and best latency of retrieval of data. Hive integration made easier. Review collected by and hosted on G2.com.

What do you dislike?

Nothing specific. Since I have not tired more on streaming with hbase. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Very useful Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

As said earlier latency is best compared to hive. Best for data integration with hive.

We have made a project to detect vehicle number stored in hbase. Review collected by and hosted on G2.com.

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CC
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

Hbase is best if you are looking for streaming ingest , fast lookups, massive datasets and to replace rdbms Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We are using mainly to store events that are generated realtime.provides realtime with very less lag , helps businesses take decisions on the fly like fraud detection or building recommendation bengines Review collected by and hosted on G2.com.

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Big Data Engineer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: Invitation from G2
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best?

HBASE provide functionality to upload data in bulk or update data on Hadoop which hive does not provide as HBASE is nosql database. Review collected by and hosted on G2.com.

What do you dislike?

The commands and a bit structure of row key and column family. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

HBASE is a good product if you want to upload data multiple times or update anything in it. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

It provides fast bulk upload and update of data so these are the benefits. Review collected by and hosted on G2.com.

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Programmer Analyst
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

Variable Schema: columns can be added and removed dynamically.

Integration with Java client, Thrift and REST APIs.

Auto scaling, sharding and failover

Great integration with the ecosystem Review collected by and hosted on G2.com.

What do you dislike?

No transactions

Need to have Phoenix or some query layer on top of it, to take full advantage

No joins

Cannot store blobs

Resource intensive Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Need real time and random read/write access to huge volumes of data Review collected by and hosted on G2.com.

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CT
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

Hbase storage and processing speed and the way it works on a particular record as cell.

Can be easily connected with stream data kafka also. Review collected by and hosted on G2.com.

What do you dislike?

Commands is not easy to remember , i can understand since it is a nosql database Review collected by and hosted on G2.com.

Recommendations to others considering the product:

It is more useful when user wants to store more unstructured or semi structured data with tb of records and can be easily connected to frontend which makes frontend really easy Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Currently i am not using hbase but i have used in my previous companies i worked in telecom domain to store final data which was finally connceted to frontend Review collected by and hosted on G2.com.

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Do you work for Hbase?