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InterSystems IRIS VS MongoDB

Compare InterSystems IRIS VS MongoDB and see what are their differences

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InterSystems IRIS logo InterSystems IRIS

InterSystems IRIS Data Platform sets a new level of performance for rapidly developing and deploying applications. Learn how it can help your organization.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • InterSystems IRIS Landing page
    Landing page //
    2019-11-13

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 an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.

  • MongoDB Landing page
    Landing page //
    2023-10-21

InterSystems IRIS features and specs

  • Unified Data Platform
    InterSystems IRIS provides a single platform for data management, interoperability, and analytics, reducing the complexity and costs associated with using multiple disparate systems.
  • High Performance and Scalability
    The platform offers high transactional and analytical performance, allowing it to handle large volumes of data and numerous simultaneous users efficiently. It is designed to scale easily as the data needs grow.
  • Interoperability
    InterSystems IRIS is known for its strong focus on interoperability, enabling seamless data integration across different systems and technologies, which is crucial for healthcare and financial services.
  • Multi-Model Database
    The platform supports multiple data models including SQL, NoSQL, and object-oriented data, providing flexibility to use the most appropriate data model for various applications.
  • Reliable and Secure
    InterSystems IRIS includes built-in features for security and data protection, making it a reliable choice for industries that have stringent compliance requirements, such as healthcare and finance.

Possible disadvantages of InterSystems IRIS

  • Complexity
    The platform's comprehensive features and capabilities can lead to a steep learning curve for new users, requiring more time and resources for proper training and deployment.
  • Cost
    InterSystems IRIS can be expensive, particularly for small to medium-sized businesses, due to licensing and implementation costs associated with enterprise-grade solutions.
  • Limited Community Support
    While the platform is robust, it has a smaller user community compared to open-source databases, which can limit the availability of community-driven support and resources.
  • Vendor Lock-In
    As a proprietary solution, there might be a risk of vendor lock-in, making it challenging to switch to a different provider once deeply integrated into business operations.
  • Legacy System Integration
    While it's strong in interoperability, integration with certain legacy systems may still pose challenges, requiring bespoke solutions or workarounds.

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

InterSystems IRIS videos

+ Add

Building a REST API with InterSystems IRIS

More videos:

  • Review - Intelligent Integration with InterSystems IRIS
  • Review - Adopting InterSystems IRIS

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Category Popularity

0-100% (relative to InterSystems IRIS and MongoDB)

InterSystems IRIS

MongoDB

Database Management
100 100%
Database Management
0% 0
Databases
5 5%
Databases
95% 95
NoSQL Databases
0 0%
NoSQL Databases
100% 100
MySQL Tools
100 100%
MySQL Tools
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare InterSystems IRIS and MongoDB

InterSystems IRIS Reviews

We have no reviews of InterSystems IRIS yet.
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MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, MongoDB seems to be more popular. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

InterSystems IRIS mentions (0)

We have not tracked any mentions of InterSystems IRIS yet. Tracking of InterSystems IRIS recommendations started around Mar 2021.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / about 2 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 9 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 8 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
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What are some alternatives?

When comparing InterSystems IRIS and MongoDB, you can also consider the following products

SQL Developer - Oracle SQL Developer is a free, development environment that simplifies the management of Oracle Database in both traditional and Cloud deployments.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Toad Edge - Windows GUI for MySQL. SQL Syntax Check. Freeware (Basic Features) & Payware (Extended Features).

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

DbVisualizer - DbVisualizer is the universal database tool for developers, DBAs and analysts.

MySQL - The world's most popular open source database

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