Neo4j vs. Titan Distributed Graph Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Neo4j
Score 9.8 out of 10
N/A
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
$65
per month
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
Neo4jTitan Distributed Graph Database
Editions & Modules
Aura Professional
$65
per month
Community Edition
Free
Enterprise Edition
Contact Sales
Aura Free
Free
Aura Enterprise
Contact Sales
No answers on this topic
Offerings
Pricing Offerings
Neo4jTitan
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Neo4jTitan Distributed Graph Database
Considered Both Products
Neo4j
Chose Neo4j
Neo4j is ahead of any of the leading competitors I know. The only one which comes close, in my opinion, is the "Titan-Distributed Graph Database" which is completely open source and free to use. Titan works on top of Apache Cassandra so it has some huge learning curves to do, …
Chose Neo4j
  • For easy query language and better graphical representation on small dataset
  • Also easy to set up and handle on the server.
  • On top of that Neo4j also provides an API support to interact through any system.
Titan
Chose Titan
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 Ne…
Best Alternatives
Neo4jTitan Distributed Graph Database
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Neo4j
Neo4j
Score 9.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Neo4j
Neo4j
Score 9.8 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Neo4j
Neo4j
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Neo4jTitan Distributed Graph Database
Likelihood to Recommend
2.1
(0 ratings)
8.0
(0 ratings)
Usability
6.0
(0 ratings)
-
(0 ratings)
User Testimonials
Neo4jTitan Distributed Graph Database
Likelihood to Recommend
Its very well suited for storing graph types relationship information, such as a group of people and their relationships. Data modeling this sort of information in a traditional SQL database is a pain and inefficient. Using Neo4J allows for efficient modeling of data while providing rich querying capabilities using Cypher. Its also a great fit for any programming language because of its support for REST API. It's less appropriate for any other data structure other than Graph data. So as with any DB, evaluate the data structure and query and if the querying revolves around relationships, then Neo4J is a fit. If there is more need for looking up individual nodes and their associated information, Neo4J might not be the most efficient solution in the market.
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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
  • When joins are a common in a relational store, switching to Neo4j is better
  • When pattern matching and surfacing interesting insights is the goal, neo4j's cypher is pretty powerful
  • When schema is not completely known beforehand and needs to be evolved with time
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  • 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
  • It would be nice to have some concept of namespaces, or some way of roughly making a single instance multi-tenant. It'd be nice to make sandboxing easier.
  • Automatic backups could be improved.
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  • 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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Usability
[Based on] Query Language, Performance on small and large data sets, integration and deployment, analysis, API support, Interactive UI.
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No answers on this topic
Alternatives Considered
I have not used anything like Neo4J because of how unique it is in the work that it allows me to do. I am not aware of any other graph database platforms and it might be because it is a growing area (especially in the world of pharmaceuticals). I would be open to trying other softwares though.
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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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Return on Investment
  • For experimentation purposes, it had a positive impact on my company. It was very natural to work with Neo4j and so intuitive to visualize the data.
  • Neo4j community edition is free, which is what we experimented on. So there was no investment up front apart from employee's time. But this quickly gave results and it was time well spent.
  • Neo4j is a cool but very new technology. It was hard to have people onboard, especially some of the leadership and relational folks.
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  • 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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ScreenShots