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InterSystems IRIS VS memcached

Compare InterSystems IRIS VS memcached 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.

memcached logo memcached

High-performance, distributed memory object caching system
  • 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.

  • memcached Landing page
    Landing page //
    2023-07-23

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.

memcached features and specs

  • High Performance
    Memcached is incredibly fast and efficient at caching data in memory, enabling quick data retrieval and reducing the load on databases. Its in-memory nature significantly reduces latency.
  • Scalability
    Memcached can be easily scaled horizontally by adding more nodes to the caching cluster. This allows it to handle increased loads and large datasets without performance degradation.
  • Simplicity
    Memcached has a simple design and API, making it easy to implement and use. Developers can quickly integrate it into their applications without a steep learning curve.
  • Open Source
    Memcached is free and open-source software, which means it can be used and modified without any licensing fees. This makes it a cost-effective solution for caching.
  • Language Agnostic
    Memcached supports multiple programming languages through various client libraries, making it versatile and suitable for use in diverse tech stacks.

Possible disadvantages of memcached

  • Data Volatility
    Memcached stores data in RAM, so all cached data is lost if the server is restarted or crashes. This makes it unsuitable for storing critical or persistent data.
  • Limited Data Types
    Memcached primarily supports simple key-value pairs. It lacks the rich data types and more complex structures supported by some other caching solutions like Redis.
  • No Persistence
    Memcached does not offer any data persistence features. It cannot save data to disk, so all information is ephemeral and will be lost on system reset.
  • Size Limitation
    Memcached has a memory limit for each instance, thus, large-scale applications may need to manage multiple instances and ensure data is properly distributed.
  • Security
    Memcached does not provide built-in security features such as authentication or encryption. This can be a concern in environments where data privacy and security are critical.

Analysis of memcached

Overall verdict

  • Memcached is a solid choice for applications that require distributed caching to improve scalability and performance. It's particularly beneficial for web applications handling high traffic and needing fast, efficient data retrieval.

Why this product is good

  • Memcached is considered good due to its high performance, simplicity, and effectiveness in enhancing the speed of dynamic web applications by alleviating database load. It operates by storing data in memory, which allows for quick retrieval of cached objects and reduces the need to frequently query the database. Its distributed architecture, open-source nature, and widespread language support make it a flexible and reliable choice for caching.

Recommended for

  • Web developers looking to improve the speed and scalability of applications.
  • Organizations needing a simple and effective caching solution to reduce database load.
  • Projects that demand quick deployment of a caching solution with support across multiple programming languages.

InterSystems IRIS videos

+ Add

Building a REST API with InterSystems IRIS

More videos:

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

memcached videos

+ Add

Course Preview: Using Memcached and Varnish to Speed Up Your Linux Web App

Category Popularity

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

InterSystems IRIS

memcached

Database Management
100 100%
Database Management
0% 0
Databases
16 16%
Databases
84% 84
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 memcached

InterSystems IRIS Reviews

We have no reviews of InterSystems IRIS yet.
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memcached Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
Quick ask: I don’t see “some” of the other offering out there like MemCached… what was the criteria used to select these? I don’t see any source of how the test where run, specs of the systems, how the DB where set up, etc. Would be very valuable to have in order to attempt to re-validate these test on our own platform. I also came back and saw some of your updates...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
So knowing how the difference between Redis and memcached in-memory usage, lets see what this means. Memcached slabs once assigned never change their size. This means it is possible to poison your memcached cluster and really waste memory. If you load your empty memcached cluster with lots of 1 MB items, then all of the slabs will be allocated to that size. Adding a 80 KB...
Source: engineering.kablamo.com.au
Redis vs. Memcached: In-Memory Data Storage Systems
Memcached itself does not support distributed mode. You can only achieve the distributed storage of Memcached on the client side through distributed algorithms such as Consistent Hash. The figure below demonstrates the distributed storage implementation schema of Memcached. Before the client side sends data to the Memcached cluster, it first calculates the target node of the...
Source: medium.com
Why Redis beats Memcached for caching
Both Memcached and Redis are mature and hugely popular open source projects. Memcached was originally developed by Brad Fitzpatrick in 2003 for the LiveJournal website. Since then, Memcached has been rewritten in C (the original implementation was in Perl) and put in the public domain, where it has become a cornerstone of modern Web applications. Current development of...
Source: www.infoworld.com

Social recommendations and mentions

Based on our record, memcached seems to be more popular. It has been mentiond 36 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.

memcached mentions (36)

  • MySQL Performance Tuning Techniques
    Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / 3 months ago
  • 10 Best Practices for API Rate Limiting in 2025
    In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / 3 months ago
  • Outgrowing Postgres: Handling increased user concurrency
    A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / 4 months ago
  • API Caching: Techniques for Better Performance
    Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / 7 months ago
  • story of upgrading rails 5.x to 7.x
    The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache. - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing InterSystems IRIS and memcached, 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.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

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