Riak still alive and kicking!
Used as a data store in multiple scenarios. Everything from individual pair values such as datetime against currency exchange value …
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What is Riak?
Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.
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TI Tokyo (Information Technology & Services, 11-50 employees)
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What is Riak?
Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.
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What is Redis™*?
Redis is an open source in-memory data structure server and NoSQL database.
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| Mobile Application | No |
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- Business Problems Solved
Riak, a versatile database, has been widely utilized by various teams within organizations for a range of purposes. Users have found it extremely valuable in migrating applications from data centers to the cloud, thanks to its ability to write data that is replicated in the cloud for service lookups. Additionally, Riak's unique feature of linking objects in the database has proven instrumental in constructing hierarchical trees of documents that represent important student administrative and testing data. It serves as a foundation for the operational data store's data model and plays a pivotal role as the backend for the weekly build cycle, which processes massive amounts of data for millions of industrial parts every week. Users have also leveraged Riak's capability to simultaneously feed metadata about each item, which ensures a reliable picture of what the front-end should look like and aids in purging old data. Furthermore, Riak serves as the main database for various web applications such as storage of generated daily merchant statements and for products like the Dittach Platform, where it stores information on all objects and documents managed within the environment. One of the key factors behind choosing Riak is its high availability, scalability, and built-in Apache SOLR for fast searching and indexing, which further enhances its suitability across different use cases.
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April 16, 2024
Riak still alive and kicking!
Score 10 out of 10
Vetted Review
Verified User
Used as a data store in multiple scenarios. Everything from individual pair values such as datetime against currency exchange value through to large scale storage for videos and images. This was implemented in multiple clusters and tried on hardware varying from Raspberry Pi through to full rack mount servers. We also contributed towards the open source codebase.
- Key-Value storage along with CRDTs
- Fault tolerance
- 100% uptime
- Massively scalable
- Consistent response speeds
- Multi datacentre replication
- Geographic replication/redundancy
- Is free to use
- Lots of client libraries
- 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
94.28571428571429%
9.4
- Great ROI, has helped us generate significant revenue.
- Low support costs as it hardly ever has any problems once correctly set up.
- The only issue we had in so far was one development cluster overheating and periodically shutting down when its cooling system failed but that's a hardware issue, not a software one.
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.
As a full disclaimer, I used to be a Basho CSE (until 2017), so have experienced the support firsthand on both sides of the fence. For those with engineers who are very familiar with Riak and its workings, there is no need to purchase support. However, if your engineers are inexperienced with Riak, I would recommend getting support at least for your first year to make sure everything gets set up properly.
Yes
Yes. I have reported multiple issues over the years and have even had some patches I submitted accepted and added in to the repositories.
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.
94.28571428571429%
9.4
- 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.
Every database has positives and negatives. Redis is very good at set operations, but not as good at executing fast queries. MongoDB is a much cheaper data store than Riak, but not as highly available and scalable. Searching Riak is also faster than searching MongoDB or Redis. Riak also scales better than MongoDB in the long run.