Google Cloud Datastore vs. Riak

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.

Incentivized

Riak is very good if you need a resilient data store that can handle large amounts of documents very fast. If you have 1,000,000 documents and need to execute complex queries, it is great. Riak's SOLR engine is fast, however if you have extremely high amount of queries in a very limited time range, it can fail in a bad way.

Incentivized

• Automatically handles shards and replication.
• Schema-less & NoSQL.
• Fully managed.

Incentivized

• Reliability -- we rarely have to do anything to maintain our Riak instance. It is just online and available for whatever we throw at it.
• The Riak Python client is an excellent tool and handles parallel writes/reads very well
• There is a large and very receptive community or Riak users and developers who seem to be able to help with most technical questions that have arisen.

Incentivized

• 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.

Incentivized

• Missing a free text search function
• More security work
• Multi-tenant reporting
• More types of index optimised for different structures
• Automating repairs especially after unclean shutdowns
• WebDAV/Samba shares for Riak CS
• Implementing the SQL queries from Riak TS in Riak KV
• Settable replication bandwidth caps
• Safemode start up after failure
• More client integrations

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.

Incentivized

Riak works great for our use case but the fact that deletes seem to resurrect is a real issue for us. Unless we can get this solved, we'll continue to look at other products to see if our use case fits. Otherwise Riak is a great product and it fits our use case 95%. We have found work arounds to the remaining 5%.

Incentivized

The simple implementation, together with the Google Cloud dashboard that allows data inspection, editing and querying, makes Google Cloud Datastore a comprehensive choice when it comes to NoSQL databases.

Incentivized

Despite Basho going bankrupt and the project becoming fully open-source, community support is reasonably good, albeit a little slow at times. Paid enterprise-grade support is also available from former Basho engineers but the same company also contributes to the community support for free for basic questions or specific knowledge areas.

As stated before, we eventually chose Google Cloud Datastore because we were already leveraging other Google Cloud services like VMs, Cloud Runs, logging etc. MySQL and MongoDB were possible alternatives, but we preferred to lock in to the Google ecosystem.

Incentivized

MongoDB seems to have copied a lot of functionality from Riak. This may be because MongoDB hired a number of former Basho engineers when Basho went bankrupt. That said, the new functions added to Riak after it became open source have successfully differentiated itself from MongoDB.

Amazon S3 is a nice tool but when you are at significant scale with regionally specific data (joys of GDPR), it's much easier to keep it in house and Riak CS lets you do exactly that. All you need to do is point your application at Riak CS instead of Amazon S3 and it just works as if nothing has changed.

When we evaluated against Cassandra, we found the tools available did not match our needs at the time.

• It solves our NoSQL database problem.
• It it highly scalable and available to meets our needs.

Incentivized

• Riak's simple API and simple management model made it a no brainer when it came to adopting it as a technology for the team.

Incentivized