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DataStax Enterprise

DataStax Enterprise

Overview

What is DataStax Enterprise?

DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.

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Recent Reviews

DataStax Enterprise Best In Class

10 out of 10
May 23, 2022
DataStax Enterprise is the primary database for all transactional processing. DataStax Enterprise provides linear scale as well as …
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Best Database in town

10 out of 10
May 17, 2021
Incentivized
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 …
Continue reading
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Pricing

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DataStax Enterprise

DataStax Enterprise

N/A
Unavailable

What is DataStax Enterprise?

DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.

Entry-level set up fee?

  • No setup fee

Offerings

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

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5 people also want pricing

Alternatives Pricing

Amazon DynamoDB

Amazon DynamoDB

Free
What is Amazon DynamoDB?

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

MarkLogic Server

MarkLogic Server

$0.01
per MCU/per hour + 0.10 per GB/per month
What is MarkLogic Server?

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

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Product Demos

Knowtify® Log Analytics on Datastax Enterprise: A DSE Log Diagnostics Demonstration

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Getting Started with SAI (Storage Attached Indexing) on Astra DEMO | DataStax

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Knowtify® Log Analytics on Datastax Enterprise: A cyber security use case demonstration

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DataStax on Mesosphere DCOS Demo

YouTube

Cassandra and DataStax Enterprise on PCF — Ben Lackey, Cornelia Davis

YouTube

DataStax Vector Demo

YouTube
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Product Details

What is DataStax Enterprise?

DataStax Enterprise (DSE) is a scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document. DSE boasts easier-to-manage operations and superior performance for a variety of workloads.

DataStax Enterprise Features

NoSQL Databases Features

  • Supported: Performance
  • Supported: Availability
  • Supported: Concurrency
  • Supported: Security
  • Supported: Scalability
  • Supported: Data model flexibility
  • Supported: Deployment model flexibility

Additional Features

  • Supported: Storage Attached Indexing
  • Supported: Analytics
  • Supported: Change Data Capture (CDC) for Apache Cassandra
  • Supported: Zero Downtime Migration
  • Supported: Search

DataStax Enterprise Competitors

DataStax Enterprise Technical Details

Deployment TypesOn-premise
Operating SystemsLinux
Mobile ApplicationNo
Supported CountriesAMER, EMEA, APAC

Frequently Asked Questions

DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.

Amazon DynamoDB, MongoDB, and Azure Cosmos DB are common alternatives for DataStax Enterprise.

Reviewers rate Availability and Scalability highest, with a score of 9.3.

The most common users of DataStax Enterprise are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(17)

Attribute Ratings

Reviews

(1-4 of 4)
Companies can't remove reviews or game the system. Here's why
May 23, 2022

DataStax Enterprise Best In Class

Verified User
C-Level Executive in Information Technology
Information Technology & Services Company, 11-50 employees
Score 10 out of 10
Vetted Review
Verified User
Use Cases and Deployment Scope
DataStax Enterprise is the primary database for all transactional processing. DataStax Enterprise provides linear scale as well as multi-datacenter real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. Keeping the system up and the data fresh is of paramount importance for our clients. Performance is also top of mind and DataStax Enterprise delivers best-in-class performance.
Pros and Cons
  • Scaling
  • Speed of data access
  • Ease of use with those familiar with traditional SQL
  • Best in class support team
  • Hybrid on-prem / cloud solution with Astra.
  • Better compatibility with prior versions in terms of codebase.
DataStax Enterprise Feature Ratings
NoSQL Databases (7)
90%
9.0
Performance
100%
10.0
Availability
100%
10.0
Concurrency
80%
8.0
Security
90%
9.0
Scalability
100%
10.0
Data model flexibility
70%
7.0
Deployment model flexibility
90%
9.0
Likelihood to Recommend
Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting.
Return on Investment
  • Ability to have our services up and running even with a total outage at one of our data centers.
  • No need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on.
  • If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming but DataStax Enterprise support will help with this.
Alternatives Considered
I believe DataStax Enterprise is the best in class. There are some things that are different with the schema-less systems but I found DataStax Enterprise easiest to implement while evaluating. The replication is on par or better than others in practice. We are evaluating Astra in our test environment and that has additional benefits we are looking forward to using.
Other Software Used
Usability
9
There is a bit of a learning curve and tasks that are simple in traditional RDBMS systems can be complicated with DataStax Enterprise but once you get the hang of denormalizing data and getting the data model correct DataStax Enterprise is very usable. Usability from the developer's standpoint is very simple - the complication is on the architecture side with the data model.
Support Rating
10
We have had a few situations where we caused an outage or something has gone wrong and we are able to get a support person to offer live help within minutes. The escalation process is excellent - the best I've seen - and the support team is incredibly strong. Outside of emergencies, the team is very helpful with general questions and working through data model exercises and the subscription I believe still comes with some hours to help get the data model reviewed.
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
Incentivized
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
DataStax Enterprise Feature Ratings
NoSQL Databases (7)
94.28571428571429%
9.4
Performance
90%
9.0
Availability
100%
10.0
Concurrency
80%
8.0
Security
90%
9.0
Scalability
100%
10.0
Data model flexibility
100%
10.0
Deployment model flexibility
100%
10.0
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.
Return on Investment
  • High scalability
  • Easy to understand UI. Less time spent on understanding.
  • Good customer support and solve problems quickly.
Alternatives Considered
DataStax has an amazing community built around it and is also Cassandra is an open-source technology. The customer support is quite good compared to other vendors. Though you initially need to spend some hefty amount on infrastructure, in the long run, it makes up for it. We had attended a conference where we had a hands-on workshop by DataStax and liked its features.
Other Software Used
Usability
9
DataStax has a good community built around it and has amazing scalability options. Though the initial setup is a bit costly, in the long run, it makes up for it. It also has powerful monitoring tools and a clean UI.
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.
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
Incentivized
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.
Return on Investment
  • It is able to completely fulfill the requirements
  • We think we'll have a positive ROI
Alternatives Considered
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.
Other Software Used
Likelihood to Renew
8
We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.
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
Incentivized
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.
Return on Investment
  • Highly Scalable Database, Highly Available Services, and Platforms.
  • High Performance, Low Latency and Highest throughput across varying workloads.
  • Configured, Tuned and Monitored correctly works to provide the best user experience!
  • Negative: Maintenance and Debugging Corner Cases
Alternatives Considered
Amazon DynamoDB and Datastax Cassandra are similar on masterless architecture and principles, DynamoDB is managed and needs cost analysis. If you need to have better control, Datastax is better.

I also did a prototype with Google Spanner in one of the recent innovation days, it provides the best of both worlds but being a service on Google Cloud Platform(GCP) works if your services are primarily on GCP. Amazon Aurora is a relational database with higher performance and is a good candidate if search and default relational behavior is preferred.

For now, Datastax worked well for us as it provides best in class performance across different kinds of read/write/mixed workloads. It provides linear scalability which works for the best performance, lowest latency and highest throughput. If configured correctly, there is no downtime and no data loss.
Other Software Used
Likelihood to Renew
7
Based on my experience with Datastax Cassandra.
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