DataStax Enterprise

DataStax Enterprise

DataStax Enterprise

Overview

Reviews

Best Database in town

10
We are a small startup company. Datastax is being used by a company to address the need to rapidly ingest data. Due to the high up-time …
Verified User
Employee in Information Technology
Computer Networking Company, 1-10 employees
Read full review

Very reliable distributed data platform

8
We used Datastax in a POC and then, after appreciating its scalability and performances, we decided to use it for a real project. The …
Verified User
Engineer in Engineering
Financial Services Company, 1001-5000 employees
Read full review

Reviewer Pros & Cons

View all pros & cons
Verified User
Employee in Information Technology
Computer Networking Company, 1-10 employees

Pricing

View all pricing
DataStax Enterprise

DataStax Enterprise

N/A
Unavailable

What is DataStax Enterprise?

DataStax Enterprise, from DataStax headquartered in Santa Clara, is a scale-out, cloud-native NoSQL database built on Apache Cassandra. DataStax is designed to give enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Would you like us to let the vendor know that you want pricing?

Alternatives Pricing

Neo4j

Neo4j

$65
per month

What is Neo4j?

Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

Databricks Lakehouse Platform

Databricks Lakehouse Platform

$0.07
Per DBU

What is Databricks Lakehouse Platform?

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data…

Features Scorecard

No scorecards have been submitted for this product yet..

Product Details

What is DataStax Enterprise?

DataStax Enterprise, from DataStax headquartered in Santa Clara, is a scale-out, cloud-native NoSQL database built on Apache Cassandra. DataStax is designed to give enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes.

DataStax Enterprise Video

DataStax - Data Standardization

DataStax Enterprise Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Alternatives

View all alternatives

Frequently Asked Questions

What is DataStax Enterprise?

DataStax Enterprise, from DataStax headquartered in Santa Clara, is a scale-out, cloud-native NoSQL database built on Apache Cassandra. DataStax is designed to give enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes.

What are DataStax Enterprise's top competitors?

RavenDB and Couchbase are common alternatives for DataStax Enterprise.

Who uses DataStax Enterprise?

The most common users of DataStax Enterprise are from Mid-size Companies and the Computer Software industry.

Reviews and Ratings

(14)

Ratings

Likelihood to Recommend (4)

10.0
100%

Likelihood to Renew (3)

7.7
77%

Usability (1)

9.0
90%

Support Rating (1)

10.0
100%

Reviews

(1-4 of 14)
Companies can't remove reviews or game the system. Here's why
May 17, 2021

Best Database in town

Verified User
Employee in Information Technology
Computer Networking Company, 1-10 employees
Score 10 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

We are a small startup company. Datastax is being used by a company to address the need to rapidly ingest data. Due to the high up-time and easily scalable options, our company is able to grow better.

Pros and Cons

  • Easily and highly Scalable
  • Simple UI
  • High uptime
  • Cassandra is a bit difficult to learn and understand
  • The costs are slightly higher for our company
  • Hardware requirement is moderate to high at the beginning

Likelihood to Recommend

DataStax has a good scalable option with multiple clusters and a good write rate. Cassandra also is improving and is an open-source technology that has good community support. The UI is also easy to understand and implement required functions.

Support Rating

10
DataStax has the best community. They have instant customer support to solve problems and are knowledgeable of the problems faced by the customer. The documentation is pretty top-notch.
August 30, 2016

DataStax Review

Robert Xu | TrustRadius Reviewer
Robert Xu
Director, Database Administration
Connexity, Inc. (Internet, 201-500 employees)
Score 9 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

It is being used by a department to address the need to rapidly ingest data.

Pros and Cons

  • It is always up, very fault tolerant.
  • Tunable consistency, flexible in that regard.
  • Nice management tools.
  • Support for aggregation functions is still limited.

Likelihood to Recommend

DataStax is best for simple data schema with high speed of writes. Data layout and modeling is centered around how it is going to be queried. It's not very appropriate for complex ad-hoc querying and analytics.
July 27, 2017

Mirror, Mirror on the Wall - Which is the best database of them all?

Verified User
Professional in Information Technology
Computer Software Company, 5001-10,000 employees
Score 7 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

Datastax Enterprise Edition for Cassandra is currently being used across multiple departments at our organization. It is used for various critical use cases and platform solutions where we are creating highly available, linearly scalable systems and services with good performance. We have used it for services used by tax domain and small businesses. Profile platform, AB testing platform and other services across product groups use Datastax Cassandra with good success.

Pros and Cons

  • Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why.
  • Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day.
  • Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful.
  • Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support.
  • The move from SQL to NoSQL paradigm is always difficult for people who have been using SQL for most part of their technical lives. Even if NoSQL has better performance and is more scalable, the database interface/functionality needs to be seamless for users. This has always been the top challenge. Now with the advent of ACID and horizontally scaling Google Spanner, the competition is rife for what a database can provide.
  • Though one can be immediately productive, if you get corner cases in your usage with Datastax Cassandra, you have to really know it better. There is a learning curve. Understanding Cassandra server logs, audit logs and sstables helps.
  • Debugging can be longer especially if you hit corner cases, like not using Light Weight transaction correctly, timestamp ties or getting RuntimeException on scrub/repair/compaction (java.lang.RuntimeException: 30623431613136352d656433372d343939322d393066342d366632313961393530353062 is not defined as a collection) and such.
  • Datastax Cassandra has great benefits in product, and features but there are costs on infrastructure maintenance and regular operational tasks. Not that there is any technical component that can self heal :-), but this time investment in Datastax Cassandra is more compared to SQL db, say MySQL.

Likelihood to Recommend

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.
October 04, 2017

Very reliable distributed data platform

Verified User
Engineer in Engineering
Financial Services Company, 1001-5000 employees
Score 8 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

We used Datastax in a POC and then, after appreciating its scalability and performances, we decided to use it for a real project. The project has a strict requirement to have the minimum possible latency and to reach a peak data rate in writing of more than 25k write per second. Moreover, we have the requirement to have replication between two data centers. We were able to reach our targets with a small cluster of 3+3 nodes.

Pros and Cons

  • 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
  • Requires investment on hardware
  • Initial setup could be cumbersome
  • You need to be careful to use it only in the right context

Likelihood to Recommend

The best scenarios where to use it are when you need a really high write rate and you know the queries you are going to execute in advance. If you don't know how you will access the data in advance it is better to look at other solutions.