Apache HBase vs. IBM Cloud Databases

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
HBase
Score 7.3 out of 10
N/A
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.N/A
IBM Cloud Databases
Score 8.3 out of 10
N/A
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
Pricing
Apache HBaseIBM Cloud Databases
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HBaseIBM Cloud Databases
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HBaseIBM Cloud Databases
Top Pros
Top Cons
Features
Apache HBaseIBM Cloud Databases
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache HBase
7.7
5 Ratings
13% below category average
IBM Cloud Databases
-
Ratings
Performance7.15 Ratings00 Ratings
Availability7.85 Ratings00 Ratings
Concurrency7.05 Ratings00 Ratings
Security7.85 Ratings00 Ratings
Scalability8.65 Ratings00 Ratings
Data model flexibility7.15 Ratings00 Ratings
Deployment model flexibility8.25 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Apache HBase
-
Ratings
IBM Cloud Databases
7.4
93 Ratings
16% below category average
Automatic software patching00 Ratings8.377 Ratings
Database scalability00 Ratings8.387 Ratings
Automated backups00 Ratings7.090 Ratings
Database security provisions00 Ratings8.783 Ratings
Monitoring and metrics00 Ratings5.387 Ratings
Automatic host deployment00 Ratings6.669 Ratings
Best Alternatives
Apache HBaseIBM Cloud Databases
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HBaseIBM Cloud Databases
Likelihood to Recommend
7.7
(10 ratings)
7.8
(95 ratings)
Likelihood to Renew
7.9
(10 ratings)
8.0
(7 ratings)
Usability
-
(0 ratings)
7.0
(6 ratings)
Support Rating
-
(0 ratings)
1.0
(10 ratings)
User Testimonials
Apache HBaseIBM Cloud Databases
Likelihood to Recommend
Apache
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.
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IBM
Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
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Pros
Apache
  • 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.
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IBM
  • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
  • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
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Cons
Apache
  • 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.
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IBM
  • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
  • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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Likelihood to Renew
Apache
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.
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IBM
IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
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Usability
Apache
No answers on this topic
IBM
It is great the only things I have stumbled upon is the non standard port 80 they use and sometimes expired SSL certificate.
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Support Rating
Apache
No answers on this topic
IBM
Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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Alternatives Considered
Apache
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.
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IBM
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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Return on Investment
Apache
  • 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.
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IBM
  • Prove use cases prior to administering entire platform, obtain ROI faster
  • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
  • Developed several studies to prove out cloud Db value, speed to deploy
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