What users are saying about
76 Ratings
11 Ratings
76 Ratings
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Score 7.9 out of 100
11 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

Cassandra

Apache Cassandra is a NoSQL database and well suited where you need highly available, linearly scalable, tunable consistency and high performance across varying workloads. It has worked well for our use cases, and I shared my experiences to use it effectively at the last Cassandra summit! http://bit.ly/1Ok56TKIt is a NoSQL database, finally you can tune it to be strongly consistent and successfully use it as such. However those are not usual patterns, as you negotiate on latency. It works well if you require that. If your use case needs strongly consistent environments with semantics of a relational database or if the use case needs a data warehouse, or if you need NoSQL with ACID transactions, Apache Cassandra may not be the optimum choice.
Rekha Joshi | TrustRadius Reviewer

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

Feature Rating Comparison

NoSQL Databases

Cassandra
8.0
DataStax
Performance
Cassandra
8.5
DataStax
Availability
Cassandra
8.7
DataStax
Concurrency
Cassandra
7.6
DataStax
Security
Cassandra
8.0
DataStax
Scalability
Cassandra
9.4
DataStax
Data model flexibility
Cassandra
6.7
DataStax
Deployment model flexibility
Cassandra
7.0
DataStax

Pros

Cassandra

  • Continuous availability: as a fully distributed database (no master nodes), we can update nodes with rolling restarts and accommodate minor outages without impacting our customer services.
  • Linear scalability: for every unit of compute that you add, you get an equivalent unit of capacity. The same application can scale from a single developer's laptop to a web-scale service with billions of rows in a table.
  • Amazing performance: if you design your data model correctly, bearing in mind the queries you need to answer, you can get answers in milliseconds.
  • Time-series data: Cassandra excels at recording, processing, and retrieving time-series data. It's a simple matter to version everything and simply record what happens, rather than going back and editing things. Then, you can compute things from the recorded history.
David Prinzing | TrustRadius Reviewer

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

Cons

Cassandra

  • Cassandra runs on the JVM and therefor may require a lot of GC tuning for read/write intensive applications.
  • Requires manual periodic maintenance - for example it is recommended to run a cleanup on a regular basis.
  • There are a lot of knobs and buttons to configure the system. For many cases the default configuration will be sufficient, but if its not - you will need significant ramp up on the inner workings of Cassandra in order to effectively tune it.
Anonymous | TrustRadius Reviewer

DataStax

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

Likelihood to Renew

Cassandra

Cassandra 8.6
Based on 16 answers
I would recommend Cassandra DB to those who know their use case very well, as well as know how they are going to store and retrieve data. If you need a guarantee in data storage and retrieval, and a DB that can be linearly grown by adding nodes across availability zones and regions, then this is the database you should choose.
Anonymous | TrustRadius Reviewer

DataStax

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

Usability

Cassandra

Cassandra 7.0
Based on 1 answer
It’s great tool but it can be complicated when it comes administration and maintenance.
Glen Kim | TrustRadius Reviewer

DataStax

No score
No answers yet
No answers on this topic

Support Rating

Cassandra

Cassandra 7.0
Based on 2 answers
Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service.
Glen Kim | TrustRadius Reviewer

DataStax

No score
No answers yet
No answers on this topic

Alternatives Considered

Cassandra

We evaluated MongoDB also, but don't like the single point failure possibility. The HBase coupled us too tightly to the Hadoop world while we prefer more technical flexibility. Also HBase is designed for "cold"/old historical data lake use cases and is not typically used for web and mobile applications due to its performance concern. Cassandra, by contrast, offers the availability and performance necessary for developing highly available applications. Furthermore, the Hadoop technology stack is typically deployed in a single location, while in the big international enterprise context, we demand the feasibility for deployment across countries and continents, hence finally we are favor of Cassandra
yixiang Shan | TrustRadius Reviewer

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

Return on Investment

Cassandra

  • I have no experience with this but from the blogs and news what I believe is that in businesses where there is high demand for scalability, Cassandra is a good choice to go for.
  • Since it works on CQL, it is quite familiar with SQL in understanding therefore it does not prevent a new employee to start in learning and having the Cassandra experience at an industrial level.
Anonymous | TrustRadius Reviewer

DataStax

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

Pricing Details

Cassandra

General

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

DataStax

General

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

Rating Summary

Likelihood to Recommend

Cassandra
6.8
DataStax
7.7

Likelihood to Renew

Cassandra
8.6
DataStax
7.7

Usability

Cassandra
7.0
DataStax

Support Rating

Cassandra
7.0
DataStax

Implementation Rating

Cassandra
7.0
DataStax

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