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 8.2 out of 10
N/A
RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that 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…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
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
DataStax EnterpriseRavenDB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
DataStax Enterprise
7.9
3 Ratings
11% below category average
RavenDB
9.1
24 Ratings
4% above category average
Performance9.13 Ratings9.124 Ratings
Availability9.43 Ratings8.923 Ratings
Concurrency8.03 Ratings8.023 Ratings
Security7.93 Ratings9.223 Ratings
Scalability9.43 Ratings9.623 Ratings
Data model flexibility5.03 Ratings9.924 Ratings
Deployment model flexibility6.83 Ratings9.423 Ratings
Best Alternatives
DataStax EnterpriseRavenDB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataStax EnterpriseRavenDB
Likelihood to Recommend
10.0
(6 ratings)
8.2
(24 ratings)
Likelihood to Renew
7.7
(3 ratings)
9.5
(5 ratings)
Usability
8.1
(3 ratings)
8.3
(20 ratings)
Support Rating
9.4
(3 ratings)
8.2
(21 ratings)
Implementation Rating
-
(0 ratings)
7.3
(1 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
DataStax EnterpriseRavenDB
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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Hibernating Rhinos
If you're a.NET developer searching for a system other than SQL Server for business assessment, then you must try RavenDB. RavenDB is a fantastic document-oriented system that has been specifically developed to work with all.NET or Windows systems. Developers are continually working on such systems to eliminate their flaws while also providing a few benefits. We must refresh ourselves on a regular basis since the free software system is like an open area where anybody may stand up with a brilliant solution to the issue. RavenDB is absolutely worth a look
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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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Hibernating Rhinos
  • 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
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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Hibernating Rhinos
  • The documentation is very good, but it's sometimes hard to find the topic I'm looking for.
  • Updating references is done manually. It would be nice if there was a feature to help with that. I'm not sure that's even possible though.
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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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Hibernating Rhinos
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
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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Hibernating Rhinos
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
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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Hibernating Rhinos
The support is really fast and flexible. Since one single working day, we got a response to our first request, only 4 days later we got a technical demonstration for our complete developer team to get in touch with raven and its performance. Also during our development, we got a quick response to questions.
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Implementation Rating
DataStax
No answers on this topic
Hibernating Rhinos
RavenFS changed along the way and made us change the codes.
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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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Hibernating Rhinos
The given alternatives are also powerful and really good noSQL databases but the highest availability of RavenDB allows me/us to know it a lot better. RavenDB is encrypted by default wherever we use it in production and it has a high level of documents compression.
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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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Hibernating Rhinos
  • 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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