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InterSystems IRIS VS Apache Ignite

Compare InterSystems IRIS VS Apache Ignite 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.

Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...
  • 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.

  • Apache Ignite Landing page
    Landing page //
    2023-07-08

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.

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Ignite’s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

InterSystems IRIS videos

+ Add

Building a REST API with InterSystems IRIS

More videos:

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

Apache Ignite videos

+ Add

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

Category Popularity

0-100% (relative to InterSystems IRIS and Apache Ignite)

InterSystems IRIS

Apache Ignite

Database Management
100 100%
Database Management
0% 0
Databases
30 30%
Databases
70% 70
NoSQL Databases
0 0%
NoSQL Databases
100% 100
MySQL Tools
100 100%
MySQL Tools
0% 0

User comments

Share your experience with using InterSystems IRIS and Apache Ignite. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Ignite seems to be more popular. It has been mentiond 3 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.

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / 7 months ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / about 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: over 3 years ago

What are some alternatives?

When comparing InterSystems IRIS and Apache Ignite, 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).

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

memcached - High-performance, distributed memory object caching system

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