Likelihood to Recommend TV is well suited for high speed, which is a great for large tables. The workload functionality is very good when in Viewpoint. The BAR functionality could use a little work. QueryGrid is very useful as well. The client handlers are still a work in progress, as I keep hearing that they continue to fail. There are also many restarts on the systems as well.
Read full review 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 .
Read full review Pros 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 Read full review 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. Read full review Cons 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 Last but not least the UI is pretty outdated and needs a revamp.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. Read full review 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. Read full review Likelihood to Renew Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
Read full review Usability It has helped our project to save time, effort and give accurate results in the quickest possible time. The diagnostics feature is also outstanding giving us a detailed report of the error which occurred, when it occurred and the likely cause and resolution of the same as well. The support of SQL is inherited which makes it easy to work on it because you don't need to learn any new language for this.
Read full review Support Rating 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.
Read full review Alternatives Considered 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
Read full review 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.
Read full review Return on Investment Saving time and cost through its stable integration tools which helps import and export a huge amount of different data. Providing analytics for the different data is easy and quick. Securing all the data processes across the entire company. Great Cloud solution for effective data quality management. Read full review 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. Read full review ScreenShots Teradata Vantage Screenshots