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Apache Solr vs Searchkick

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Apache Solr
207
87
+ 1
0
Searchkick
17
29
+ 1
1
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Apache Solr vs Searchkick: What are the differences?

What is Apache Solr? An open source search platform. 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.

What is Searchkick? Intelligent search made easy. Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

Apache Solr and Searchkick belong to "Search Engines" category of the tech stack.

Searchkick is an open source tool with 4.99K GitHub stars and 586 GitHub forks. Here's a link to Searchkick's open source repository on GitHub.

According to the StackShare community, Apache Solr has a broader approval, being mentioned in 11 company stacks & 13 developers stacks; compared to Searchkick, which is listed in 3 company stacks and 6 developer stacks.

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Pros of Apache Solr
Pros of Searchkick
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    - No public GitHub repository available -

    What is 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.

    What is Searchkick?

    Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

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

    Jobs that mention Apache Solr and Searchkick as a desired skillset
    Salesforce BSA, IT Sales Systems (Contract)
    Pinterest
    San Francisco, CA, US; , CA, US
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    GoogleUtilizeDream+10
    Workplace Operations Programs Director
    CBRE
    United States of America California Santa Monica
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    GoogleScheduleLINE+6
    Data Center Global Program Manager (Sr. Project Manager)
    CBRE
    United States of America California Sunnyvale
    View Job Details
    GoogleScheduleHangouts+5
    Data Center Global Program Manager (Sr. Project Manager)
    CBRE
    United States of America California Sunnyvale
    View Job Details
    GoogleScheduleHangouts+5
    Robotics Deployment Project Manager
    CBRE
    United States of America South Carolina Moncks Corner
    View Job Details
    GoogleUtilizeRelate+7
    Business Operations Analyst
    CBRE
    United States of America California Sunnyvale
    View Job Details
    GoogleSpreadsheetTables+4
    Sr Software Engineer
    CBRE
    United States of America Texas Richardson
    View Job Details
    GoogleSnowflakeTalend+7
    Senior Data Analyst
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    View Job Details
    PatternsGoogleCollect+9
    What companies use Apache Solr?
    What companies use Searchkick?
    See which teams inside your own company are using Apache Solr or Searchkick.
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    What tools integrate with Apache Solr?
    What tools integrate with Searchkick?
      No integrations found
      What are some alternatives to Apache Solr and Searchkick?
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      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.
      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).
      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.
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      See all alternatives

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