Google Cloud Datastore vs. Titan Distributed Graph Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Datastore
Score 8.4 out of 10
N/A
Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A
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
Google Cloud DatastoreTitan Distributed Graph Database
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DatastoreTitan
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
Community Pulse
Google Cloud DatastoreTitan Distributed Graph Database
Top Pros
Top Cons
Features
Google Cloud DatastoreTitan Distributed Graph Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Google Cloud Datastore
10.0
2 Ratings
13% above category average
Titan Distributed Graph Database
-
Ratings
Performance10.02 Ratings00 Ratings
Availability10.02 Ratings00 Ratings
Concurrency10.02 Ratings00 Ratings
Security10.02 Ratings00 Ratings
Scalability10.02 Ratings00 Ratings
Data model flexibility10.02 Ratings00 Ratings
Deployment model flexibility9.92 Ratings00 Ratings
Best Alternatives
Google Cloud DatastoreTitan Distributed Graph Database
Small Businesses
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Score 8.4 out of 10
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Medium-sized Companies
IBM Cloudant
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Score 8.4 out of 10
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Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
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User Ratings
Google Cloud DatastoreTitan Distributed Graph Database
Likelihood to Recommend
9.9
(2 ratings)
8.0
(1 ratings)
Likelihood to Renew
10.0
(2 ratings)
-
(0 ratings)
User Testimonials
Google Cloud DatastoreTitan Distributed Graph Database
Likelihood to Recommend
Google
If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
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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
Google
  • Automatically handles shards and replication.
  • Schema-less & NoSQL.
  • Fully managed.
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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
Google
  • It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
  • When you want to migrate to other cloud providers, there can be a caveat.
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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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Likelihood to Renew
Google
For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
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Open Source
No answers on this topic
Alternatives Considered
Google
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
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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
Google
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
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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.
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