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Azure Cosmos DB vs. Titan Distributed Graph Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Cosmos DB

    Score9.1 out of 10
    N/AMicrosoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A

    Titan

    Score8 out of 10
    N/ATitan is an open-source distributed graph database developed by Aurelius. Aurelius is now part of Datastax (since February 2015).N/A
    Pricing
    Azure Cosmos DBTitan
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Cosmos DBTitan
    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
    Best Alternatives
    Azure Cosmos DBTitan
    Small Businesses
    No answers on this topic
    Neo4j
    Score9 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    Neo4j
    Score9 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Neo4j
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Cosmos DBTitan
    Likelihood to Recommend
    10.0
    (7 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    7.6
    (4 ratings)
    -
    (0 ratings)
    Usability
    8.8
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    9.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure Cosmos DBTitan
    Likelihood to Recommend
    Microsoft
    Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
    Incentivized
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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
    Microsoft
    • Scalable Instantly and automatically serverless database for any large scale business.
    • Quick access and response to data queries due to high speed in reading and writing data
    • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
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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
    Microsoft
    • Expensive, so be careful of the use case.
    • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
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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.
    Incentivized
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    Likelihood to Renew
    Microsoft
    It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
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    Open Source
    No answers on this topic
    Usability
    Microsoft
    It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
    Incentivized
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    Open Source
    No answers on this topic
    Support Rating
    Microsoft
    Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
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    Open Source
    No answers on this topic
    Alternatives Considered
    Microsoft
    Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
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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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    Return on Investment
    Microsoft
    • It's made managing raw data much easier
    • It provides a way to maintain raw data at a low cost
    • It's easy to massage the data
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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.
    Incentivized
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