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Elassandra

5
34
+ 1
3
Searchkit

7
29
+ 1
0
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Elassandra vs Searchkit: What are the differences?

Developers describe Elassandra as "Elasticsearch implemented on top of Cassandra". 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. On the other hand, Searchkit is detailed as "React UI Components for Elasticsearch". Searchkit is a suite of React components that communicate directly with your Elasticsearch cluster. Each component is built in React and is fully customisable to your needs.

Elassandra and Searchkit belong to "Search Tools" category of the tech stack.

Elassandra and Searchkit are both open source tools. It seems that Searchkit with 3.66K GitHub stars and 339 forks on GitHub has more adoption than Elassandra with 1.23K GitHub stars and 137 GitHub forks.

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Pros of Elassandra
Pros of Searchkit
  • 1
    Microservice database and search engine
  • 1
    Multi-master search engine
  • 1
    Well known API
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    - No public GitHub repository available -

    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 Searchkit?

    Searchkit is a suite of React components that communicate directly with your Elasticsearch cluster. Each component is built in React and is fully customisable to your needs.

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      What tools integrate with Elassandra?
      What tools integrate with Searchkit?
      What are some alternatives to Elassandra and Searchkit?
      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).
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      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.
      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.
      See all alternatives