Elasticsearch vs LogRocket vs Stream

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Elasticsearch

34.4K
26.8K
+ 1
1.6K
LogRocket

241
277
+ 1
137
Stream

227
224
+ 1
54
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Pros of Elasticsearch
Pros of LogRocket
Pros of Stream
  • 328
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
  • 98
    Free
  • 85
    Search everything
  • 54
    Easy to get started
  • 45
    Analytics
  • 26
    Distributed
  • 6
    Fast search
  • 5
    More than a search engine
  • 4
    Great docs
  • 4
    Awesome, great tool
  • 3
    Highly Available
  • 3
    Easy to scale
  • 2
    Potato
  • 2
    Document Store
  • 2
    Great customer support
  • 2
    Intuitive API
  • 2
    Nosql DB
  • 2
    Great piece of software
  • 2
    Reliable
  • 2
    Fast
  • 2
    Easy setup
  • 1
    Open
  • 1
    Easy to get hot data
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Ecosystem
  • 1
    Not stable
  • 1
    Scalability
  • 0
    Community
  • 21
    See a video of user using your website
  • 20
    See full user sessions
  • 18
    Detect user frustration
  • 18
    Console, network, and error logging
  • 18
    See why users ask for support
  • 14
    Intercom Integration
  • 12
    GitHub Integration
  • 12
    Fantastic Customer Support
  • 2
    Easy setup
  • 1
    Developer oriented
  • 1
    Redux Integration
  • 0
    Redux Integration
  • 18
    Up and running in few minutes
  • 18
    Integrates via easy-to-use REST API
  • 18
    It's easy to setup with the minimum coding

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Cons of Elasticsearch
Cons of LogRocket
Cons of Stream
  • 7
    Resource hungry
  • 6
    Diffecult to get started
  • 5
    Expensive
  • 4
    Hard to keep stable at large scale
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      What is 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).

      What is LogRocket?

      LogRocket combines session replay, performance monitoring, and product analytics – empowering software teams to create the ideal product experience.

      What is Stream?

      Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.

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

      Jobs that mention Elasticsearch, LogRocket, and Stream as a desired skillset
      What companies use Elasticsearch?
      What companies use LogRocket?
      What companies use Stream?

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      What tools integrate with Elasticsearch?
      What tools integrate with LogRocket?
      What tools integrate with Stream?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      JavaScriptGitHubReact+12
      5
      4181
      Oct 11 2019 at 2:36PM

      LogRocket

      JavaScriptReactAngularJS+8
      5
      1998
      May 21 2019 at 12:20AM

      Elastic

      ElasticsearchKibanaLogstash+4
      12
      5265
      What are some alternatives to Elasticsearch, LogRocket, and Stream?
      Datadog
      Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
      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.
      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.
      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.
      Algolia
      Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
      See all alternatives