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EDB Postgres Advanced Server vs. Titan Distributed Graph Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    EDB Postgres Advanced Server

    Score8 out of 10
    N/AThe EDB Postgres Advanced Server is an advanced deployment of the PostgreSQL relational database with greater features and Oracle compatibility, from EnterpriseDB headquartered in Bedford, Massachusetts.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
    EDB Postgres Advanced ServerTitan
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    EDB Postgres Advanced ServerTitan
    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
    EDB Postgres Advanced ServerTitan
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    Medium-sized Companies
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    Enterprises
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    EDB Postgres Advanced ServerTitan
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.0
    (1 ratings)
    User Testimonials
    EDB Postgres Advanced ServerTitan
    Likelihood to Recommend
    EnterpriseDB
    It's great if you are using or wish to use PostgreSQL and need the added performance optimization, security features and developer and DBA tools. If you need compatibility with Oracle it's a must-have. There are many developer features that greatly assist dev teams in integrating and implementing complex middleware. It's great for optimizing complex database queries as well as for scaling. I would recommend Postgres Plus Advanced Server for any software development team that is hitting the limit of what PostgreSQL is capable of and wants to improve performance, security, and gain extra developer tools.
    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
    EnterpriseDB
    • PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
    • PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
    • Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.
    Incentivized
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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
    EnterpriseDB
    • Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
    • Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
    • It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.
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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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    Alternatives Considered
    EnterpriseDB
    PPAS proved better for our customer's data-centric apps than Oracle in all but a few edge cases (encryption at rest and multi-TB database-tier backups) because it is simpler to install/maintain, runs nearly all Oracle-syntax SQL as well as ANSI SQL. PPAS has much more JSON capabilities (full CRUD vs. read-only in Oracle), simpler geospatial, simpler / more stable replication and datatypes that match developer expectations, such as BOOLEAN and ENUMs.
    Incentivized
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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
    EnterpriseDB
    • Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
    • Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
    • The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.
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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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