Couchbase Server vs. Titan Distributed Graph Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Couchbase Server
Score 8.1 out of 10
N/A
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.N/A
Titan
Score 8.0 out of 10
N/A
Titan is an open-source distributed graph database developed by Aurelius. Aurelius is now part of Datastax (since February 2015).N/A
Pricing
Couchbase ServerTitan Distributed Graph Database
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Couchbase ServerTitan
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Couchbase ServerTitan Distributed Graph Database
Top Pros
Top Cons
Features
Couchbase ServerTitan Distributed Graph Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Couchbase Server
8.9
97 Ratings
1% above category average
Titan Distributed Graph Database
-
Ratings
Performance8.997 Ratings00 Ratings
Availability9.496 Ratings00 Ratings
Concurrency8.894 Ratings00 Ratings
Security8.994 Ratings00 Ratings
Scalability9.395 Ratings00 Ratings
Data model flexibility9.095 Ratings00 Ratings
Deployment model flexibility8.094 Ratings00 Ratings
Best Alternatives
Couchbase ServerTitan Distributed Graph Database
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Redis™*
Redis™*
Score 9.1 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Redis™*
Redis™*
Score 9.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Redis™*
Redis™*
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Couchbase ServerTitan Distributed Graph Database
Likelihood to Recommend
8.8
(100 ratings)
8.0
(1 ratings)
Likelihood to Renew
2.1
(3 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Availability
8.0
(1 ratings)
-
(0 ratings)
Performance
9.2
(95 ratings)
-
(0 ratings)
Support Rating
8.5
(5 ratings)
-
(0 ratings)
Product Scalability
7.0
(52 ratings)
-
(0 ratings)
User Testimonials
Couchbase ServerTitan Distributed Graph Database
Likelihood to Recommend
Couchbase
Best suited when edge devices have interrupted internet connection. And Couchbase provides reliable data transfer. If used for attachment Couchbase has a very poor offering. A hard limit of 20 MB is not okay. They have the best conflict resolution but not so great query language on Couchbase lite.
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Open Source
Titan is definitely a good choice, but it has its learning curve. The documentation may lack in places, and you might have to muster answers from different sources and technologies. But at its core, it does the job of storing and querying graph databases really well. Remember that titan itself is not the whole component, but utilizes other technologies like cassandra, gremlin, tinkerpop, etc to do many other things, and each of them has a learning curve. I would recommend titan for a team, but not for a single person. For single developer, go with Neo4j.
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Pros
Couchbase
  • Couchbase performance is exceptional both for in-memory and persisted transactions.
  • Handling of node failures and cluster rebalancing (high availability).
  • Enterprise support from Couchbase themselves
  • Good documentation
  • Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
  • Replication of datasets between native clients and Couchbase buckets
  • Handling of simultaneous writes to the same record with performance penalties
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Open Source
  • Titan is really good for abstraction of underlying infrastructure. You can choose between different storage engine of your choice.
  • Open source, backed by community, and free.
  • Supports tinkerpop stack which is backed by apache.
  • Uses gremlin for query language making the whole query structure standardized and open for extension if another graph database comes along in future.
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Cons
Couchbase
  • The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
  • You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
  • There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
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Open Source
  • The community is lacking deep documentation. I had to spend many nights trying to figure many things on my own. As graph databases will grow popular, I am sure this will be improved.
  • Not enough community support. Even in SO you might not find many questions. Though there are some users in SO who quickly answer graph database questions. Need more support.
  • Would love an official docker image.
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Likelihood to Renew
Couchbase
I rarely actually use Couchbase Server, I just stay up-to-date with the features that it provides. However, when the need arises for a NoSQL datastore, then I will strongly consider it as an option
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Open Source
No answers on this topic
Usability
Couchbase
Couchbase has been quite a usable for our implementation. We had similar experience with our previous "trial" implementation, however it was short lived.
Couchbase has so far exceeded expectation. Our implementation team is more confident than ever before.
When we are Live for more than 6 months, I'm hoping to enhance this rating.
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Open Source
No answers on this topic
Performance
Couchbase
One of Couchbase’s greatest assets is its performance with large datasets. Properly set up with well-sized clusters, it is also highly reliable and scalable. User management could be better though, and security often feels like an afterthought. Couchbase has improved tremendously since we started using it, so I am sure that these issues will be ironed out.
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Open Source
No answers on this topic
Support Rating
Couchbase
I haven't had many opportunities to request support, I will look forward to better the rating. We have technical development and integration team who reach out directly to TAM at Couchbase.
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Open Source
No answers on this topic
Alternatives Considered
Couchbase
The Apache Cassandra was one type of product used in our company for a couple of use-cases. The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics. The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase. Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
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Open Source
To be honest, titan is not as popular as Neo4j, though they do the same thing. In my personal opinion, titan has lot of potential, but Neo4j is easier to use. If the organization is big enough, it might choose titan because of its open source nature, and high scalability, but Neo4j comes with a lot of enterprise and community support, better query, better documentation, better instructions, and is also backed by leading tech companies. But titan is very strong when you consider standards. Titan follows gremlin and tinkerpop, both of which will be huge in future as more graph database vendors join the market. If things go really well, maybe Neo4j might have to support gremlin as well.
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Scalability
Couchbase
So far, the way that we mange and upgrade our clusters has be very smooth. It works like a dream when we use it in concert with AWS and their EC2 machines. Having access to powerful instances along side the Couchbase interface is amazing and allows us to do rebalances or maintenance without a worry
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Open Source
No answers on this topic
Return on Investment
Couchbase
  • Great performance.
  • Leading Couchbase Lite capabilities for mobile use.
  • Developers' learning curve with replica reads and multi cluster can be long. Needs guidance and nurturing.
  • Cluster maintenance during OS patching, etc. has multiple ways to approach. Operational teams may need some guidance.
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Open Source
  • Steep learning curve. Your engineers would have to spend lots of time learning different components before they feel comfortable.
  • Have to plan ahead. Maybe this is the nature of graph databases, but I found it difficult to change my schemas after I had data in production.
  • It is free, so time is the only resource you have to put in titan.
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