InterSystems IRIS

InterSystems IRIS

InterSystems
Riak KV

Riak KV

Riak
+
+

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About

InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes

About

At Riak, we are distributed systems experts and we work with Application teams to overcome these distributed system challenges. Riak’s Riak® is a distributed NoSQL database that delivers unmatched Resiliency beyond typical “high availability” offerings. Innovative technology to ensure data accuracy and never lose a write. Massive scale on commodity hardware. Common code foundation with true multi-model support. Riak® provides all this, while still focused on ease of operations. Chose Riak® KV flexible key-value data model for web scale profile and session management, real-time big data, catalog, content management, customer 360, digital messaging, and more use cases. Chose Riak® TS for IoT and time series use cases. When seconds of latency can cost thousands of dollars and an outage millions, the call for scalable, highly available databases that are easy to operationalize is resoundingly clear. Riak performs as promised and keeps the lights on.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies of all sizes who need applications that must connect disparate data from a range of sources, and process incoming data and perform sophisticated analytics, all in real time, at very high scale, with superior resource efficiency and low total cost of ownership.

Audience

Application teams interested in a distributed NoSQL database solution

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Supported

Pricing

$0
Free open-source code, packages and documentation. Commercial support and training.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.7 / 5
ease 4.2 / 5
features 4.6 / 5
design 4.0 / 5
support 4.6 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • I work with UX, and the company uses IRIS, I've worked with other databases, but IRIS surprised me with the speed of data access.
  • I really like the IRIS REST applications and extensions in Visual Studio Code and DBeaver CE, are very useful.
  • Created a lot of new possibilities such as working with machine learning, integration with python, node and AWS that creates a much faster environment.
  • Very fast and scalable database, good management for huge data flow with safe paths providing full resources to build a complete application without needing anything else.
  • It's a high performance database, the union of two products (Caché and Ensemble) with a lot of enhancements.

Cons

  • I realized that IRIS is still not widely used, which makes it difficult to solve small problems, which could be solved with a quick search on search engines.
  • I have no cons about IRIS, because I am new to InterSystem technology, but REST applications are very interesting.
  • The license is pricier than just buying ensemble. Also it's a new tool that it's not been used a lot and a training is highly required.
  • Lack of information on the open web for some particularities and the Studio editor is kind of outdated.
  • Until now, we don't have any, we upgraded applications from Caché to IRIS, it's all fine.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

InterSystems
Founded: 1978
United States
www.intersystems.com/products/intersystems-iris/

Company Information

Riak
Founded: 2008
United States
riak.com/index.html

Alternatives

InterSystems Caché

InterSystems Caché

InterSystems

Alternatives

Mnesia

Mnesia

Erlang
Redis

Redis

Redis Labs
MD Link

MD Link

MDI Solutions

Categories

Categories

Big Data Supported
Database Supported
NoSQL Database Supported

Database Features

Backup and Recovery Supported
Creation / Development Supported
Data Migration Supported
Data Replication Supported
Data Search Supported
Data Security Supported
Database Conversion Supported
Mobile Access Not Supported
Monitoring Supported
NOSQL Supported
Performance Analysis Supported
Queries Supported
Relational Interface Supported
Virtualization Supported

Database Features

Backup and Recovery Not Supported
Creation / Development Supported
Data Migration Not Supported
Data Replication Supported
Data Search Supported
Data Security Supported
Database Conversion Not Supported
Mobile Access Supported
Monitoring Supported
NOSQL Supported
Performance Analysis Not Supported
Queries Supported
Relational Interface Not Supported
Virtualization Not Supported

Big Data Features

Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Mining Supported
Data Visualization Not Supported
Data Warehousing Supported
High Volume Processing Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported
Templates Not Supported

NoSQL Database Features

Auto-sharding Supported
Automatic Database Replication Supported
Data Model Flexibility Supported
Deployment Flexibility Supported
Dynamic Schemas Supported
Integrated Caching Supported
Multi-Model Supported
Performance Management Not Supported
Security Management Supported

Integrations

AdvantX Supported
Circonus IRONdb Not Supported
Datadog Not Supported
Docker Supported
Happy Apps Not Supported
Microsoft Power Query Supported
PI.EXCHANGE Supported
RazorSQL Supported
Riemann Not Supported

Integrations

AdvantX Not Supported
Circonus IRONdb Supported
Datadog Supported
Docker Not Supported
Happy Apps Supported
Microsoft Power Query Not Supported
PI.EXCHANGE Not Supported
RazorSQL Not Supported
Riemann Supported
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