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Teradata Autonomous Knowledge Platform vs. Titan Distributed Graph Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Teradata Autonomous Knowledge Platform

    Score8 out of 10
    N/ATeradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business. Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

    $4,800

    per month

    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
    Teradata Autonomous Knowledge PlatformTitan
    Editions & Modules
    Teradata VantageCloud Lake
    from $4800
    per month
    Teradata VantageCloud Enterprise
    from $9000
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    Teradata Autonomous Knowledge PlatformTitan
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Teradata Autonomous Knowledge PlatformTitan
    Considered Both Products
    Teradata
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    47 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    37 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    49 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    28 Answers
    No answers on this topic
    Implementation went as expected
    97%
    Implementation went as expected
    37 Answers
    No answers on this topic
    Best Alternatives
    Teradata Autonomous Knowledge PlatformTitan
    Small Businesses
    No answers on this topic
    Neo4j
    Score9 out of 10
    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    Neo4j
    Score9 out of 10
    Enterprises
    Snowflake
    Score8.7 out of 10
    Neo4j
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Teradata Autonomous Knowledge PlatformTitan
    Likelihood to Recommend
    9.4
    (62 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    8.2
    (6 ratings)
    -
    (0 ratings)
    Usability
    9.0
    (30 ratings)
    -
    (0 ratings)
    Support Rating
    7.3
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    6.4
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Teradata Autonomous Knowledge PlatformTitan
    Likelihood to Recommend
    Teradata
    Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.
    Read full review
    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.
    Incentivized
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    Pros
    Teradata
    • ETL (Extract - Transfor - Load)
    • NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
    • Teradata GeoSpacial feature
    • Bulk reading and writing in huge tables
    • MPP capacity already mature
    • Temporal Capacity more mature that other solutions
    • TASM
    Incentivized
    Read full review
    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.
    Incentivized
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    Cons
    Teradata
    • Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
    • Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
    • Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.
    Incentivized
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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
    Read full review
    Likelihood to Renew
    Teradata
    Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
    Incentivized
    Read full review
    Open Source
    No answers on this topic
    Usability
    Teradata
    Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.
    Read full review
    Open Source
    No answers on this topic
    Support Rating
    Teradata
    We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
    Incentivized
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    Open Source
    No answers on this topic
    Alternatives Considered
    Teradata
    Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
    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.
    Incentivized
    Read full review
    Return on Investment
    Teradata
    • Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.
    Incentivized
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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
    Read full review
    ScreenShots

    Teradata Autonomous Knowledge Platform Screenshots

    Screenshot of Teradata VantageCloud Lake Console Financial GovernanceScreenshot of Teradata VantageCloud Lake Console Landing Page