What users are saying about
7 Ratings
30 Ratings
7 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 7.2 out of 100
30 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 7.9 out of 100

Likelihood to Recommend

DataStax

Datastax Cassandra is a Java based linearly scalable NoSQL database, best-in-class tunable performance, fault tolerant, distributed, masterless, time series database and has easy-to-use administration and monitoring functionality with opscenter. Configured correctly there is no downtime and no data loss. The documentation is exhaustive, and the community is agile and supportive, and Datastax provides good support. For all these reasons, Datastax Cassandra has become a NoSQL technology of choice for many platforms.However it has some time investment on infrastructure and regular operational tasks, and if you do not have bandwidth for it, a managed NoSQL solution like DynamoDB might be more appropriate. Also if you have search needs on Cassandra and do not have corresponding Spark/Solr setup, Datastax Cassandra might not be ideal for you.
Anonymous | TrustRadius Reviewer

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

Feature Rating Comparison

NoSQL Databases

DataStax
HBase
7.7
Performance
DataStax
HBase
7.1
Availability
DataStax
HBase
7.8
Concurrency
DataStax
HBase
6.8
Security
DataStax
HBase
7.7
Scalability
DataStax
HBase
8.4
Data model flexibility
DataStax
HBase
7.5
Deployment model flexibility
DataStax
HBase
8.3

Pros

DataStax

  • Scalability: it provides near linear scalability being based on open source Cassandra
  • Opscenter: it is a powerful and complete tool for monitoring
  • You can use Spark for analytics workloads
Anonymous | TrustRadius Reviewer

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

Cons

DataStax

  • Support for aggregation functions is still limited.
Robert Xu | TrustRadius Reviewer

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

Likelihood to Renew

DataStax

DataStax 7.7
Based on 3 answers
Based on my experience with Datastax Cassandra.
Anonymous | TrustRadius Reviewer

HBase

HBase 8.1
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

Alternatives Considered

DataStax

We chose datastax because we need a system always available and capable of ingesting a large amount of data per second, even if eventually consistent and with multi data center sync native support.We considered Cloudera as an alternative using Kafka as the ingestion layer but we were not completely satisfied with the multi data center support.
Anonymous | TrustRadius Reviewer

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

Return on Investment

DataStax

  • Almost zero downtime, best for business continuity.
  • Easy to do maintenance online.
Robert Xu | TrustRadius Reviewer

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

Pricing Details

DataStax

General

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

HBase

General

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

Rating Summary

Add comparison