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IBM DB2 vs Memcached

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IBM DB2
243
247
+ 1
19
Memcached
7.6K
5.5K
+ 1
473
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IBM DB2 vs Memcached: What are the differences?

IBM DB2: A family of database server products developed by IBM. DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs; Memcached: High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

IBM DB2 and Memcached can be primarily classified as "Databases" tools.

"Rock solid and very scalable" is the primary reason why developers consider IBM DB2 over the competitors, whereas "Fast object cache" was stated as the key factor in picking Memcached.

Memcached is an open source tool with 8.99K GitHub stars and 2.6K GitHub forks. Here's a link to Memcached's open source repository on GitHub.

Facebook, Instagram, and Dropbox are some of the popular companies that use Memcached, whereas IBM DB2 is used by XMLi5 Ltd., ITAIPU BINACIONAL, and Applic8. Memcached has a broader approval, being mentioned in 755 company stacks & 267 developers stacks; compared to IBM DB2, which is listed in 7 company stacks and 9 developer stacks.

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Pros of IBM DB2
Pros of Memcached
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta

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Cons of IBM DB2
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    - No public GitHub repository available -

    What is IBM DB2?

    DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

    What is Memcached?

    Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention IBM DB2 and Memcached as a desired skillset
    Manager I, Site Reliability Engineering
    Pinterest
    San Francisco, CA, US; , CA, US
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    DreamLinuxEnvoy+18
    Manager I, Site Reliability Engineering
    Pinterest
    San Francisco, CA, US; , CA, US
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    DreamLinuxEnvoy+18
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
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    DreamTrinoAirflow+11
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
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    SpeedDreamLinux+20
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
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    SpeedDreamLinux+20
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
    View Job Details
    SpeedDreamLinux+20
    Sr. Machine Learning Engineer
    Pinterest
    Toronto, ON, CA
    View Job Details
    DreamHadoop+2
    Staff Software Engineer, Ads Serving Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    guidanceInfraDream+9
    What companies use IBM DB2?
    What companies use Memcached?
    See which teams inside your own company are using IBM DB2 or Memcached.
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    What tools integrate with IBM DB2?
    What tools integrate with Memcached?

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    Blog Posts

    Improving Distributed Caching Performance and Efficiency at Pi...
    Jun 1 2022 at 5:03PM

    Pinterest

    Amazon EC2MemcachedLinux+4
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    Scaling Cache Infrastructure at Pinterest
    Dec 22 2020 at 9:26PM

    Pinterest

    Amazon EC2C langMemcached+4
    10
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    How Sqreen handles 50,000 requests every minute in a write-hea...
    Sep 17 2019 at 9:38PM

    Sqreen

    GitHubDockerReact+17
    16
    6805
    Kafka and Ruby, a Sidekiq Love Story
    Jun 6 2019 at 5:11PM

    AppSignal

    RedisRubyKafka+9
    15
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    E-Commerce at Scale: Inside Shopify's Tech Stack
    Jul 3 2018 at 4:40AM

    Shopify

    GitHubDockerReact+17
    40
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    Dubsmash: Scaling To 200 Million Users With 3 Engineers
    Dec 14 2017 at 10:02AM

    Dubsmash

    GitHubPythonNode.js+47
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    How MapJam Is Building A Scalable Custom Maps Service
    Jul 29 2016 at 2:27AM

    MapJam

    JavaScriptGitHubNode.js+26
    20
    4948
    Scaling Zapier to Automate Billions of Tasks
    Feb 4 2016 at 6:44PM

    Zapier

    JavaScriptGitHubPython+42
    53
    21847
    What are some alternatives to IBM DB2 and Memcached?
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Microsoft SQL Server
    Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
    See all alternatives

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