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Beringei

11
40
+ 1
0
LokiJS

37
55
+ 1
3
Redis

59.5K
45.7K
+ 1
3.9K
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Pros of Beringei
Pros of LokiJS
Pros of Redis
    Be the first to leave a pro
    • 3
      Can query the objects directly
    • 886
      Performance
    • 542
      Super fast
    • 513
      Ease of use
    • 444
      In-memory cache
    • 324
      Advanced key-value cache
    • 194
      Open source
    • 182
      Easy to deploy
    • 164
      Stable
    • 155
      Free
    • 121
      Fast
    • 42
      High-Performance
    • 40
      High Availability
    • 35
      Data Structures
    • 32
      Very Scalable
    • 24
      Replication
    • 22
      Great community
    • 22
      Pub/Sub
    • 19
      "NoSQL" key-value data store
    • 16
      Hashes
    • 13
      Sets
    • 11
      Sorted Sets
    • 10
      NoSQL
    • 10
      Lists
    • 9
      Async replication
    • 9
      BSD licensed
    • 8
      Bitmaps
    • 8
      Integrates super easy with Sidekiq for Rails background
    • 7
      Keys with a limited time-to-live
    • 7
      Open Source
    • 6
      Lua scripting
    • 6
      Strings
    • 5
      Awesomeness for Free
    • 5
      Hyperloglogs
    • 4
      Transactions
    • 4
      Outstanding performance
    • 4
      Runs server side LUA
    • 4
      LRU eviction of keys
    • 4
      Feature Rich
    • 4
      Written in ANSI C
    • 4
      Networked
    • 3
      Data structure server
    • 3
      Performance & ease of use
    • 2
      Dont save data if no subscribers are found
    • 2
      Automatic failover
    • 2
      Easy to use
    • 2
      Temporarily kept on disk
    • 2
      Scalable
    • 2
      Existing Laravel Integration
    • 2
      Channels concept
    • 2
      Object [key/value] size each 500 MB
    • 2
      Simple

    Sign up to add or upvote prosMake informed product decisions

    Cons of Beringei
    Cons of LokiJS
    Cons of Redis
      Be the first to leave a con
        Be the first to leave a con
        • 15
          Cannot query objects directly
        • 3
          No secondary indexes for non-numeric data types
        • 1
          No WAL

        Sign up to add or upvote consMake informed product decisions

        - No public GitHub repository available -
        - No public GitHub repository available -

        What is Beringei?

        Beringei is a high performance time series storage engine. Time series are commonly used as a representation of statistics, gauges, and counters for monitoring performance and health of a system.

        What is LokiJS?

        LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

        What is 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.

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

        Jobs that mention Beringei, LokiJS, and Redis as a desired skillset
        LaunchDarkly
        Oakland, California, United States
        What companies use Beringei?
        What companies use LokiJS?
        What companies use Redis?

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        What tools integrate with Beringei?
        What tools integrate with LokiJS?
        What tools integrate with Redis?
          No integrations found

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          What are some alternatives to Beringei, LokiJS, and Redis?
          InfluxDB
          InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
          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.
          Amazon S3
          Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
          See all alternatives