What users are saying about
30 Ratings
Top Rated
304 Ratings
30 Ratings
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Score 8.1 out of 100
Top Rated
304 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

HBase

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 | TrustRadius Reviewer

MongoDB

Mongo DB is better placed in large projects, with great scalability. It also allows you to work quite comfortably with projects based on programming languages such as javascript angular typescript C #. I believe that its performance is much better with the type of technologies that handle very logical, similar terms of programming. If we use languages like java php, for example, it is better to work with relational databases like postgres or mySql. Since this type of technology allows you to work better with database management frameworks much more agile for these environments, such as JPA, HIBERNATE, Oracle, I think they are much better with this type of architecture and programming languages.
Ronald Melendez | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

HBase
7.7
MongoDB
8.8
Performance
HBase
7.3
MongoDB
8.9
Availability
HBase
7.8
MongoDB
8.9
Concurrency
HBase
6.8
MongoDB
8.5
Security
HBase
7.7
MongoDB
8.4
Scalability
HBase
8.3
MongoDB
8.8
Data model flexibility
HBase
7.8
MongoDB
9.3
Deployment model flexibility
HBase
8.5
MongoDB
8.8

Pros

HBase

  • 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.
Timothy Spann | TrustRadius Reviewer

MongoDB

  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
Joshua Weaver | TrustRadius Reviewer

Cons

HBase

  • There are very few commands in HBase.
  • Stored procedures functionality is not available so it should be implemented.
  • HBase is CPU and Memory intensive with large sequential input or output access while as Map Reduce jobs are primarily input or output bound with fixed memory. HBase integrated with Map-reduce jobs will result in random latencies.
RAVI MISHRA | TrustRadius Reviewer

MongoDB

  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
Jon Kern | TrustRadius Reviewer

Likelihood to Renew

HBase

HBase 8.3
Based on 10 answers
There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.
Anonymous | TrustRadius Reviewer

MongoDB

MongoDB 8.7
Based on 59 answers
This is a very convenient "go to" database for application CRUD operations. So many applications need to create, read, update, and delete records. Here's the trick though - as a product changes, the data does as well. Having a database that makes this process easy and avoids the need to manage a schema and migrations is extremely valuable.MongoDB may not be the tool for every need but it is often always a tool that gets used for some need or another.
Tom Maiaroto | TrustRadius Reviewer

Usability

HBase

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.0
Based on 3 answers
I'm not a database expert by any means. But MongoDB has helped lower the barrier to entry in the world of full stack development. It has an expressive and easy to understand syntax and API. Additionally, their documentation is really quite detailed and easy to follow. Anyone with javascript experience should be able to work with it.
Joshua Weaver | TrustRadius Reviewer

Support

HBase

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.0
Based on 2 answers
I never had problems with the application. It complies with all the characteristics that the company specifies with this product.
Fernando Malave | TrustRadius Reviewer

Implementation

HBase

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.4
Based on 2 answers
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
Tom Maiaroto | TrustRadius Reviewer

Alternatives Considered

HBase

Cassandra os great for writes. But with large datasets, depending, not as great as HBASE. Cassandra does support parquet now. HBase still performance issues. Cassandra has use cases of being used as time series. HBase, it fails miserably. GeoSpatial data, Hbase does work to an extent. HA between the two are almost the same.
Anson Abraham | TrustRadius Reviewer

MongoDB

MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.Other platforms had specific parts of what we were looking for - MongoDB had it all.
Jeff Sherard | TrustRadius Reviewer

Return on Investment

HBase

  • 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.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

MongoDB

  • Much faster development time.
  • Price is fantastic compared to MSSQL when you consider OS costs and the entire package.
  • Only negative to me is the lack of DBA skills for it, due to it being a new player in the field. I feel like that will get better as time moves on however.
Joshua Austill | TrustRadius Reviewer

Screenshots

Pricing Details

HBase

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

MongoDB

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

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