Name: Riak
Rating: 10 (11 reviews)
Author: Basho Technologies

Help Desk

Web and Video Conferencing

Customer Support

Interactive Application Security Testing (IAST)

Development

Audit

Board Management

Business Intelligence (BI)

Collaboration

Enterprise Legal Management

Transportation & Logistics

Enterprise

Accounting

Anti-Money Laundering (AML)

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Recognition

HR Management

Payroll

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printers

Application Delivery Controllers (ADC)

Bot Mitigation

Cloud Storage

Computerized Maintenance Management Systems (CMMS)

Data Mapping

Data Pipeline

Desktop Management

Desktop Outsourcing

Extended Detection and Response (XDR)

Fraud Detection

Hosted Virtual Desktop

IT Operations Analytics

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Interoperability

Network Performance Monitoring

Relational Database Management Systems

Smart Contracts

Tape Storage

Vulnerability Management

Workload Automation

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

Affiliate

All-in-One Marketing

Contact Management

Content Management

Contest Management

Digital Asset Management

Email Marketing

Gamification

Marketing Automation

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Intelligent Virtual Assistant

Multichannel Retail

Presales

Sales

Certificate Lifecycle Management

Database Security

GDPR Compliance

Security

Construction Accounting

Hotel Management

Loan Servicing

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

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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.

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

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

Shared

Serverless

Dedicated

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

Low Priority Fixed

Standard On-Demand

Standard Reserved

MarkLogic Server

Riak

Some cloud platforms offer options for using a database as a service, without physically launching a virtual machine instance for the database. In this configuration, application owners do not have to install and maintain the database on their own. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners pay according to their usage. For example, Amazon Web Services provides three database services as part of its cloud offering, SimpleDB, a NoSQL key-value store, Amazon Relational Database Service, an SQL-based database service with a MySQL interface, and DynamoDB.

NoSQL Databases

Likelihood to Recommend

Likelihood to Renew

Support Rating

Performance

Availability

Concurrency

Scalability

Data model flexibility

Deployment model flexibility

Basho Technologies

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

How fast the database performs under data load

Availability is the probability that the NoSQL database will be available to preform its function when called upon.

Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.

Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.

NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.

NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data,  but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.

Can be deployed on-premise or in the cloud.

Zendesk Suite

Slack

Amazon S3 (Simple Storage Service)

Microsoft 365

Director of Support Services

Riak 2024-01-12 06:11:34

Elasticsearch

Node.io (discontinued)

CTO (Chief Technical Officer)

Riak 2018-11-21 10:12:32

Oracle VM VirtualBox

Sr. Web Engineer

Riak 2015-12-01 11:11:07

Apache Hadoop

PostgreSQL

Principle Software Engineer

Riak 2015-12-11 08:48:25

MySQL

Jenkins

Apache Solr

Receptive.io (discontinued)

Senior Software Engineer

Riak 2015-12-11 11:57:12

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TrustRadius

Easy to use

Text search

Full text search

Way to configure

Work around

Less manual

Data objects

Manual configuration

Way to tell

Little confusing

Speed to market

Go offline

Integrates well

Set up

Highly scalable

Simple to use

Easy to apply

No downtime

Perform well

Data model

Home

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

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, Amazon S3 (Simple Storage Service) and Apache Cassandra

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.

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.

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.

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.

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.

I 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.

Riak

Overview

What is Riak?