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Memcached

6.7K
4.9K
+ 1
470
TrailDB

2
17
+ 1
0
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Memcached vs TrailDB: What are the differences?

Developers describe Memcached as "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. On the other hand, TrailDB is detailed as "An efficient tool for storing and querying series of events, by AdRoll". TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

Memcached and TrailDB can be categorized as "Databases" tools.

Memcached and TrailDB are both open source tools. It seems that Memcached with 8.99K GitHub stars and 2.6K forks on GitHub has more adoption than TrailDB with 962 GitHub stars and 64 GitHub forks.

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Pros of Memcached
Pros of TrailDB
  • 138
    Fast object cache
  • 128
    High-performance
  • 90
    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 Memcached
    Cons of TrailDB
    • 2
      Only caches simple types
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      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.

      What is TrailDB?

      TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

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

      Jobs that mention Memcached and TrailDB as a desired skillset
      What companies use Memcached?
      What companies use TrailDB?
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        What tools integrate with Memcached?
        What tools integrate with TrailDB?
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          What are some alternatives to Memcached and TrailDB?
          Redis
          Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
          Ehcache
          Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.
          Varnish
          Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.
          Hazelcast
          With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
          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.
          See all alternatives