InterSystems IRIS

InterSystems IRIS

InterSystems
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About

BangDB natively integrates AI, streaming, graph, analytics within the DB itself to enable users to deal with complex data of different kinds, such as text, images, videos, objects etc. for real time data processing and analysis Ingest or stream any data, process it, train models, do prediction, find patterns, take action and automate all these to enable use cases such as IOT monitoring, fraud or disruption prevention, log analysis, lead generation, 1-on-1 personalisation and many more. Today’s use cases require different kinds of data to be ingested, processed, and queried at the same time for a given problem. BangDB supports most of the useful data formats to allow user to solve the problem in a simple manner. Rise of real time data pushes for real time streaming and predictive data analytics for advanced and optimized business operations.

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

Platforms Supported

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

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

Audience

NoSQL database platform for developers

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.

Support

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

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$2,499 per year
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Supported

Reviews/Ratings

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

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • A. Combination of AI, Graph and Stream Processing within database B. Quite simple to work with, intuitive APIs and Interface C. Very high performance D. Almost no db admin is required, it is kind of self managed even in case of DR and Business Continuity
  • BangDB comes with machine learning, streaming, graph and many other features which makes it super easy to get started and implement some of the most complex use cases in speedy manner. Its performance is very high and works well for high load at scale. It provides variety of indexes and query support and implements cypher query language for graph

Cons

  • A. Less documentations, very less resources online B. Minimal ecosystem support in terms of connectors etc
  • BangDB should have better dedicated visualization, right now it is integrated with Grafana which is great but needs to setup workflow etc from UI. Also they need to have better documentations as well.

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 Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

BangDB
Founded: 2012
bangdb.com

Company Information

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

Alternatives

Alternatives

InterSystems Caché

InterSystems Caché

InterSystems
Redis

Redis

Redis Labs
MD Link

MD Link

MDI Solutions
Azure Cosmos DB

Azure Cosmos DB

Microsoft

Categories

Categories

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

Integrations

AdvantX Not Supported
Docker Not Supported
Microsoft Power Query Not Supported
PI.EXCHANGE Not Supported
RazorSQL Not Supported

Integrations

AdvantX Supported
Docker Supported
Microsoft Power Query Supported
PI.EXCHANGE Supported
RazorSQL Supported
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