InterSystems IRIS

InterSystems IRIS

InterSystems
SQL Server

SQL Server

Microsoft
+
+

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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

Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Any business and organization seeking a solution to manage their cloud operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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 4.5 / 5
ease 4.5 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 5

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.

Pros & Cons from Real Users

Pros

  • SQL server offers enough security to be able to perform reliable transactions, where you can work with all kinds of procedures previously saved for SQL. In terms of relational databases, SQL server allows the inclusion of relational data licenses within multidimensional groups, which at the level of analysis makes things much easier. Recommended because you can work with up to 6 different types of licenses, so the number of clients that can be added to the platform is huge depending on the size of the company. For example, the Enterprise plan is usually around 25,000, but offers a very large number of servers to work with.
  • The interoperability that Microsoft SQL server brings serves to create a complete network in which databases are properly secured and at the same time can be edited by specific employees. Microsoft SQL server provides the user with the possibility of transporting large amounts of data of different types through the cloud. Our professional recommendation is that, if you choose to work with Microsoft SQL server, you should purchase the standard version, since it has all the features of software such as MySQL and Sybase ASE in terms of support for procedures and work in server mode, which would be enough to obtain promising results.

Cons

  • When working with pages simultaneously, there is a limit on the number of connections that can be carried out, and it has many restrictions that end up affecting the page editing level. For example, the size of the pages is impossible to edit, which leads to a somewhat poor view of the page in terms of size (it looks very small), as well as remaining static.
  • The Microsoft SQL server platform does not support the ability to manage Canvas scripts directly from the development data lists being used (specifically HTML) so adding Canvas code to that language is useless if the content is to be transported through Microsoft SQL server. The variety of DDL commands that Microsoft SQL server allows to implement is a bit small, which ends up limiting the work to only using DML commands.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/

Alternatives

InterSystems Caché

InterSystems Caché

InterSystems

Alternatives

MD Link

MD Link

MDI Solutions
Apache HBase

Apache HBase

The Apache Software Foundation
RaimaDB

RaimaDB

Raima

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Server Features

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Integrations

Microsoft Power Query
PI.EXCHANGE
RazorSQL
12Port Horizon
Agnovi X-FIRE
ApexSQL
Auguria
CODESOFT
Circonus IRONdb
CorralData
Helium
Indexima Data Hub
Kangaroo
Mage Sensitive Data Discovery
SingleStore
Storware
Supaboard
dbForge Edge
dbForge Search
incadea.bi

Integrations

Microsoft Power Query
PI.EXCHANGE
RazorSQL
12Port Horizon
Agnovi X-FIRE
ApexSQL
Auguria
CODESOFT
Circonus IRONdb
CorralData
Helium
Indexima Data Hub
Kangaroo
Mage Sensitive Data Discovery
SingleStore
Storware
Supaboard
dbForge Edge
dbForge Search
incadea.bi
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