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Apache Solr

95
74
+ 1
0
Splunk

460
733
+ 1
11
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Apache Solr vs Splunk: What are the differences?

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; Splunk: Search, monitor, analyze and visualize machine data. Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.

Apache Solr belongs to "Search Engines" category of the tech stack, while Splunk can be primarily classified under "Log Management".

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Pros of Apache Solr
Pros of Splunk
    Be the first to leave a pro
    • 2
      API for searching logs, running reports
    • 1
      Query engine supports joining, aggregation, stats, etc
    • 1
      Query any log as key-value pairs
    • 1
      Splunk language supports string, date manip, math, etc
    • 1
      Granular scheduling and time window support
    • 1
      Alert system based on custom query results
    • 1
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Ability to style search results into reports
    • 1
      Rich GUI for searching live logs

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    Cons of Apache Solr
    Cons of Splunk
      Be the first to leave a con
      • 1
        Splunk query language rich so lots to learn

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      No Stats

      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 Splunk?

      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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

      What companies use Apache Solr?
      What companies use Splunk?
      See which teams inside your own company are using Apache Solr or Splunk.
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      What tools integrate with Apache Solr?
      What tools integrate with Splunk?

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      What are some alternatives to Apache Solr and Splunk?
      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.
      Azure Search
      Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.
      See all alternatives