Dejavu vs Elassandra vs Elastic

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Dejavu

21
41
+ 1
6
Elassandra

5
35
+ 1
3
Elastic

28
32
+ 1
0
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Pros of Dejavu
Pros of Elassandra
Pros of Elastic
  • 2
    Available as a chrome app
  • 2
    Open-source (MIT License)
  • 1
    Clean and modern data browsing UI
  • 1
    Available as a docker image
  • 1
    Microservice database and search engine
  • 1
    Multi-master search engine
  • 1
    Well known API
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    What is Dejavu?

    dejaVu fits the unmet need of being a hackable data browser for Elasticsearch. Existing browsers were either built with a legacy UI and had a lacking user experience or used server side rendering (I am looking at you, Kibana).

    What is Elassandra?

    Elassandra is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store.

    What is Elastic?

    Elastic is an Elasticsearch client for the Go programming language.

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    What companies use Dejavu?
    What companies use Elassandra?
    What companies use Elastic?
      No companies found

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      What tools integrate with Dejavu?
      What tools integrate with Elassandra?
      What tools integrate with Elastic?
      What are some alternatives to Dejavu, Elassandra, and Elastic?
      Kibana
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      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.
      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.
      Mirage
      The Elasticsearch query DSL supports 100+ query APIs ranging from full-text search, numeric range filters, geolocation queries to nested and span queries. Mirage is a modern, open-source web based query explorer for Elasticsearch.
      Jina
      It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
      See all alternatives