DataStax Enterprise vs. Hortonworks Data Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataStax Enterprise
Score 9.1 out of 10
N/A
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.N/A
Hortonworks Data Platform
Score 7.0 out of 10
N/A
Hortonworks Data Platform (HDP) is an open source framework for distributed storage and processing of large, multi-source data sets. HDP modernizes IT infrastructure and keeps data secure—in the cloud or on-premises—while helping to drive new revenue streams, improve customer experience, and control costs. Hortonworks merged with Cloudera in eary 2019.N/A
Pricing
DataStax EnterpriseHortonworks Data Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataStax EnterpriseHortonworks Data Platform
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
DataStax EnterpriseHortonworks Data Platform
Top Pros
Top Cons
Features
DataStax EnterpriseHortonworks Data Platform
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
DataStax Enterprise
7.9
3 Ratings
11% below category average
Hortonworks Data Platform
-
Ratings
Performance9.13 Ratings00 Ratings
Availability9.43 Ratings00 Ratings
Concurrency8.03 Ratings00 Ratings
Security7.93 Ratings00 Ratings
Scalability9.43 Ratings00 Ratings
Data model flexibility5.03 Ratings00 Ratings
Deployment model flexibility6.83 Ratings00 Ratings
Best Alternatives
DataStax EnterpriseHortonworks Data Platform
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10

No answers on this topic

Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataStax EnterpriseHortonworks Data Platform
Likelihood to Recommend
10.0
(6 ratings)
7.0
(9 ratings)
Likelihood to Renew
7.7
(3 ratings)
-
(0 ratings)
Usability
8.1
(3 ratings)
-
(0 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
DataStax EnterpriseHortonworks Data Platform
Likelihood to Recommend
DataStax
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.
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Cloudera
I find HDP easy to use and solves most of the problems for people looking to manage their big data. Evaluating the Hortonworks Data Platform is easy as it is free to download and install in your cluster. Single node cluster available as Sandbox is also easy for POCs.
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Pros
DataStax
  • 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.
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Cloudera
  • It does a good job of packaging a lot of big data components into bundles and lets you use the ones you are interested in or need. It supports an extensive list of components which lets us solve many problems.
  • It provides the ability to manage installations and maintenance using Apache Ambari. It helps us in using management packs to install/upgrade components easily. It also helps us add, remove components, add, remove hosts, perform upgrades in a convenient manner. It also provides alerts and notifications and monitors the environment.
  • What they excel in is packaging open source components that are relevant and are useful to solve and complement each other as well as contribute to enhancing those components. They do a great job in the community to keep on top of what would be useful to users, fixing bugs and working with other companies and individuals to make the platform better.
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Cons
DataStax
  • 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
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Cloudera
  • Since it doesn't come with propriety tools for big data management, additional integration is need (for query handling, search, etc).
  • It was very straightforward to store clinical data without relations, such as data from sensors of a medical device. But it has limitations when needed to combine the data with other clinical data in structured format (e.g. lab results, diagnosis).
  • Overall look and feel of front-end management tools (e.g. monitoring) are not good. It is not bad but it doesn't look professional.
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Likelihood to Renew
DataStax
We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.
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Cloudera
No answers on this topic
Usability
DataStax
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.
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Cloudera
No answers on this topic
Support Rating
DataStax
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.
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Cloudera
No answers on this topic
Implementation Rating
DataStax
No answers on this topic
Cloudera
Try not to change variable names.
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Alternatives Considered
DataStax
DataStax Enterprise offered best-in-class write performance and scalability. The customer support team was very helpful in the adoption of new technology.
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Cloudera
We chose [Hortonworks Data Platform] because it's free and because [it] was an IBM partner, suggested as big data platform after biginsights platform.
You can install in more physical computer without high specs, then you can use it in order to learn how to deploy, configure a complete big data cluster.
We installed also in a cloud infrastructure of 5 virtual machine
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Return on Investment
DataStax
  • 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
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Cloudera
  • It is difficult to have a negative impact, because the required investment is not that high.
  • The big open community behind Hortonworks and related Apache Project makes it easy to put 'the wheel to meet the road' quite quickly.
  • We have seen management meetings where the attendants were impressed by the results achieved with the datalake built on HDP.
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ScreenShots