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Lucene

164
220
+ 1
2
Redis

53.4K
40.5K
+ 1
3.9K
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Pros of Lucene
Pros of Redis
  • 1
    Fast
  • 1
    Small
  • 882
    Performance
  • 540
    Super fast
  • 510
    Ease of use
  • 441
    In-memory cache
  • 321
    Advanced key-value cache
  • 190
    Open source
  • 180
    Easy to deploy
  • 163
    Stable
  • 153
    Free
  • 120
    Fast
  • 40
    High-Performance
  • 39
    High Availability
  • 34
    Data Structures
  • 31
    Very Scalable
  • 23
    Replication
  • 21
    Great community
  • 21
    Pub/Sub
  • 17
    "NoSQL" key-value data store
  • 14
    Hashes
  • 12
    Sets
  • 10
    Sorted Sets
  • 9
    Lists
  • 8
    BSD licensed
  • 8
    NoSQL
  • 7
    Integrates super easy with Sidekiq for Rails background
  • 7
    Async replication
  • 7
    Bitmaps
  • 6
    Keys with a limited time-to-live
  • 6
    Open Source
  • 5
    Strings
  • 5
    Lua scripting
  • 4
    Hyperloglogs
  • 4
    Awesomeness for Free!
  • 3
    Transactions
  • 3
    Runs server side LUA
  • 3
    outstanding performance
  • 3
    Networked
  • 3
    LRU eviction of keys
  • 3
    Written in ANSI C
  • 3
    Feature Rich
  • 2
    Performance & ease of use
  • 2
    Data structure server
  • 1
    Simple
  • 1
    Channels concept
  • 1
    Scalable
  • 1
    Temporarily kept on disk
  • 1
    Dont save data if no subscribers are found
  • 1
    Automatic failover
  • 1
    Easy to use
  • 1
    Existing Laravel Integration
  • 1
    Object [key/value] size each 500 MB

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

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    What is Lucene?

    Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

    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.

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    What companies use Lucene?
    What companies use Redis?
    See which teams inside your own company are using Lucene or Redis.
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    What tools integrate with Lucene?
    What tools integrate with Redis?

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    Blog Posts

    Nov 20 2019 at 3:38AM

    OneSignal

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    Jun 6 2019 at 5:11PM

    AppSignal

    RedisRubyKafka+9
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    What are some alternatives to Lucene and Redis?
    Solr
    Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Sphinx
    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
    Apache Solr
    It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    See all alternatives