TrustRadius
Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.https://media.trustradius.com/product-logos/MZ/YO/I8QAWB8KEET7.pngRiak is highly available, highly scalable, and has a fast search index.Riak is used as the main database/K-V Store for the company's product, the Dittach Platform. It is used to store information on all the objects/documents we manage in our environment. We selected Riak because it is highly available, highly scalable, and has Apache SOLR built into the data store for fast searching and indexing.,Highly available: If nodes go offline for any reason, the system still operates. Highly scalable: There is a minimum of 5 nodes, which can handle a lot by themselves. When scaling is required, it can be done easily, with minimal to no downtime on large scales. Very fast searching: Riak has SOLR indexing built-into the core product, which makes querying for data very fast.,When the index definition changes, reindexing takes an extremely long time. Support (both paid and community based) is very very lacking. It is expensive to run.,8,Riak has had a positive impact in the fact that it is still a very fast data store and can scale very well over time. Riak has had a negative impact as it is one of the most expensive pieces of our architecture. Riak's SOLR engine failed us at a critical moment which seriously hurt the company. Our use case is very different than the norm, so I don't expect this to affect most people.,MongoDB and Redis,Elasticsearch, Redis, Node,9Great product and fast, beware of deletes!We use Riak as a datacenter/cloud replicating noSQL database. It is being used by various teams in our organization to write data which is then replicated to the cloud for cloud based service lookups. Riak allows us to provide data to the cloud in a secure manner via the "hub and spoke" replication model. Riak has proved instrumental in allowing us to move applications from a datacenter, to the cloud.,Riak is great at handling large volumes of requests. We've seen Riak perform well under large volume while keeping response times quite low. Riak is also fast providing consistent sub 10ms reads in both the datacenter and cloud. Flexible allowing storage of numerous data types. We heavily leverage this to store various JSON documents in a single bucket. We really like the RESTful interface that is provided. Makes the learning curve almost invisible and provides a quick speed to market in using Riak.,Deletes!!! We've seen on numerous occasions where Riak has "resurrected" deleted data. We've worked with Basho numerous times and tried multiple changes to the way we interact with Riak to prevent the problem but it still remains. The deletes seem to reappear weeks, even months, after the delete was issued. We've had to work around this issue by providing a "deleted" flag for all data objects stored in Riak. Thus, we do no delete but simply flip the flag. Excess baggage we would really like to not have to worry about. Search. Currently there's no way to tell what data you have in Riak without already knowing a particular bucket/key. There is a way to list the keys for a given bucket but due to performance implications, this is not a viable method to lookup data. Especially when you have a large amount of keys in the bucket.,I would once again mention the deletes. The idea of big data is that you can store lots and lots of data. Riak excels at this by still providing fast reads regardless of the amount of data. However, Riak doesn't seem to support "clean data". For use cases that require clean data, Riak makes it extremely hard to ensure your data is clean due to the possibility of resurrecting deleted data seemingly without notice. As a result, many work arounds have to be performed and the size of the Riak dataset is ever growing. Obviously while Riak can handle the large amount of data, this will eventually become an issue if you're needing a clean data set rather than just storing and never deleting.,7,It provided a solution for use to securely write data to the cloud. This has been instrumental in allowing us to move more applications to the cloud. Writes are performed behind firewalls and then replicated to the cloud for application consumption. By moving more applications to the cloud, we free up internal resources and can serve information in a much more scalable and reliable way.,Cassandra,Oracle VM VirtualBox,7A No Hassle Cloud Scale DBI used Riak's ability to link objects in the database as a way to build up a hierarchical tree of documents representing student administrative and testing data as part of a project to integrate across dozens of systems in a large technology and education company. Riak was used as the basis for the data model used in the operational data store.,If you're considering a NoSQL solution, one of Riak's strengths is that it is built to scale with very low management overhead. Compare Riak to something like HBase (requires a full Hadoop cluster, along with YARN, and Zookeeper), and you'll find it's much easier to set up and maintain. Schemaless design in Riak makes it really easy to apply whatever design you like. Since you're not locked into seeing things just the SQL way, you've got more freedom with the type of data you store and the way you store it. Riak is highly reliable. It's built on a platform that's meant to be incredibly resistant to failure. If you run in Riak in a cluster or cloud based environment, you can trust that it will be very dependable.,At the time I was using Riak, data was stored as blobs so you couldn't query the data directly on the server. This has since been remedied with the addition of full-text search support.,Good documentation and language support. As an engineer, that's a critical factor when considering the adoption of new technology.,9,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.,,PostgreSQL, CouchDB, Redis,7My Riak ReviewWe are using Riak as a backend to our weekly build cycle that processes data for millions of industrial parts each week. The system that we actually feed to is not always 100% reliable, but we simultaneous feed metadata about each item to Riak to keep as a reliable picture of what our front-end *should* look like. This is also useful for purging old data. We built this system several years ago and have been using it consistently and reliably.,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.,It would be nice if there was a better way to configure Riak for multiple nodes with less manual configuration. Really, it's not a big deal, but I am being asked to write a "con" so this is what I thought of.,We have not used Riak Search in production, but it seems like it would be a great way to implement a search backend. Anyone with experience with Apache SOLR should have no problem working with Riak Search to perform complex queries.,9,Riak has been a key part of our company's build process for our client's search backend. It is valuable for is in that it provides a reliable way to view the current search index.,Redis, Elasticsearch, Jenkins, MySQL,10Riak performs well as a statement document storeIt is being used as a backend for a web application used for storage of generated daily merchant statements.,Consistency model is highly distributed, so uptime of our documents is always available. Simple to use RESTful interface, which was easy to access from our Java application. Data model using catalogs and indexes was simple, making it easy to store and retrieve our statements.,It does not have any native startup scripts in Linux. Since it's built on Erlang, its a bit difficult to administer.,Out of the box it's a straightforward document store, which is very easy to use.,10,Riak has positively allowed us to store our documents with high availability and redundancy. Riak has made troubleshooting our application easy by using RESTful URLs to identify where data may be inconsistent. Riak performs well under high load.,Redis,dbForge Data Generator for MySQL,10,10,4,Document store for reports. Key value store. High availability.,We have been considering using Riak as a hierarchical key value store for configuration purposes.,Additional reports servers, and transaction data store for BI data.Unspecified
Riak
10 Ratings
Score 8.0 out of 101
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Riak Reviews

Riak
10 Ratings
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Score 8.0 out of 101

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Score 8 out of 10
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Return on Investment

  • Riak has had a positive impact in the fact that it is still a very fast data store and can scale very well over time.
  • Riak has had a negative impact as it is one of the most expensive pieces of our architecture.
  • Riak's SOLR engine failed us at a critical moment which seriously hurt the company. Our use case is very different than the norm, so I don't expect this to affect most people.
Read Adam Stern's full review
Gerald Chenvert profile photo
Score 7 out of 10
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Return on Investment

  • It provided a solution for use to securely write data to the cloud. This has been instrumental in allowing us to move more applications to the cloud. Writes are performed behind firewalls and then replicated to the cloud for application consumption. By moving more applications to the cloud, we free up internal resources and can serve information in a much more scalable and reliable way.
Read Gerald Chenvert's full review
Jeff Peck profile photo
December 11, 2015

My Riak Review

Score 9 out of 10
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Return on Investment

  • Riak has been a key part of our company's build process for our client's search backend. It is valuable for is in that it provides a reliable way to view the current search index.
Read Jeff Peck's full review
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Score 10 out of 10
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Return on Investment

  • Riak has positively allowed us to store our documents with high availability and redundancy.
  • Riak has made troubleshooting our application easy by using RESTful URLs to identify where data may be inconsistent.
  • Riak performs well under high load.
Read this authenticated review

Feature Scorecard Summary

Performance (1)
9
Availability (1)
10
Concurrency (1)
10
Security (1)
9
Scalability (1)
10
Data model flexibility (1)
9
Deployment model flexibility (1)
9

About Riak

Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.

Riak Technical Details

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