DataStax Enterprise vs. RavenDB

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
RavenDB
Score 8.1 out of 10
N/A
RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. The database minimizes the need for third party addons, tools, or support to boost developer productivity and get projects into production fast. Users can setup and secure a data cluster deploy in the cloud, on-premise or in a hybrid environment. RavenDB offers a Database as a Service solution, allowing users to pass on all…N/A
Pricing
DataStax EnterpriseRavenDB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataStax EnterpriseRavenDB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataStax EnterpriseRavenDB
Features
DataStax EnterpriseRavenDB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
DataStax Enterprise
8.0
Ratings
10% below category average
RavenDB
9.1
Ratings
3% above category average
Performance9.10 Ratings9.00 Ratings
Availability9.30 Ratings8.90 Ratings
Concurrency7.90 Ratings8.00 Ratings
Security7.90 Ratings9.20 Ratings
Scalability9.30 Ratings9.60 Ratings
Data model flexibility5.10 Ratings9.90 Ratings
Deployment model flexibility7.00 Ratings9.40 Ratings
Best Alternatives
DataStax EnterpriseRavenDB
Small Businesses
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Score 7.4 out of 10
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Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
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Score 7.4 out of 10
IBM Cloudant
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Score 7.4 out of 10
Enterprises
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Score 7.4 out of 10
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Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataStax EnterpriseRavenDB
Likelihood to Recommend
10.0
(0 ratings)
8.1
(0 ratings)
Likelihood to Renew
7.7
(0 ratings)
9.5
(0 ratings)
Usability
8.2
(0 ratings)
8.2
(0 ratings)
Support Rating
9.3
(0 ratings)
8.1
(0 ratings)
Implementation Rating
-
(0 ratings)
7.3
(0 ratings)
Configurability
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
DataStax EnterpriseRavenDB
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.
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RavenDB is very well suited for NoSQL beginners to start easily setting up and using a NoSQL database. Also to set up a high performance and high availability cluster is possible without reading tons of documentation. Very straightforward assistant! The performance is really high.
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Pros
  • 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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  • Document Database - no Object-Relational Impedance Mismatch
  • ACID support that is optimized for performance
  • Can be easily integrated into automated tests (unit tests)
  • Easily configurable via C# code
  • Comes directly with RavenStudio - no SSMS or SQL Developer required
  • In general low footprint when it comes to memory and disk consumption
  • Useful safety nets for new developers - e.g. by default an exception is thrown when you make too many requests within a session
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Cons
  • 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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  • Developing methods is challenging if developers are unfamiliar with the accurate simulation approach.
  • It does not allow you to replicating, or authorized access without first acquiring a license.
  • The lack of evidence of tracking records in the enterprise systems raises several concerns about RavenDB.
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Likelihood to Renew
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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We've had an excellent experience using RavenDB. Internally we are testing the newer features in 5.0 such as time series, which will effect the con specified previously dependent on the real world performance. We foresee that BattleCrate will continue to use RavenDB as we grow.
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Usability
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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Really good .NET client that is very easy to use. The management studio is excellent and puts anything that Microsoft or Oracle have to shame. Very quick to develop with once the complexity hurdle has been overcome. Initially using it can be a bit painful until you fully grasp the event sourced nature of the indexing.
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Support Rating
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.
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Had a question that was answered in minutes. Never used a NoSQL approach before, but was able to be proficient in a matter of hours. Easy to read API Documentation. 5 out 5 support in book, I have never once ran into an issue that wasn't quickly solved by either their support team or myself doing a quick search online.
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Implementation Rating
No answers on this topic
RavenFS changed along the way and made us change the codes.
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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.
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RavenDB is just smarter than the competitors. The mapping reduction sorting is head and shoulders above everything else I've used. Nothing really approaches comparable in terms of complexity. Because of the searching of predetermined categories, read efficiency is terrible. RavenDB is a storage system designed for the current websites and functional prototypes. It has an easy-to-use interface and enables quick replication and backup installation. Furthermore, technical assistance responds quickly and walks you through the implementation and deployment procedures.
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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
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  • RavenDB has saved my customers a lot of money with their cloud services' tiered model. The database is able to grow with the project/company and can start out small at a low cost.
  • RavenDB is free for three nodes and three CPUs, which makes it great for development scenarios. You're able to start rapidly building applications without having to worry about licensing.
  • Scaling out has allowed us to use three small cloud servers when starting out and get the performance and throughput of a single larger server.
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