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DBMS > Solr vs. Splunk vs. Weaviate

System Properties Comparison Solr vs. Splunk vs. Weaviate

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSplunk  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big DataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineSearch engineVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.91
Rank#24  Overall
#3  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitesolr.apache.orgwww.splunk.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationsolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunkweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationSplunk Inc.Weaviate B.V.
Initial release200620032019
Current release9.6.0, April 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commandsGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava pluginsyesno
Triggersyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesAccess rights for users and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
SolrSplunkWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
SolrSplunkWeaviate
DB-Engines blog posts

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Recent citations in the news

SOLR-led walkout demands better conditions for Compass workers
27 February 2024, Daily Northwestern

Best Practices from Rackspace for Modernizing a Legacy HBase/Solr Architecture Using AWS Services | Amazon Web ...
9 October 2023, AWS Blog

SOLR hosts teach-in of labor movements at Northwestern
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SearchStax Launches Serverless Solr Service to Accelerate Cloud-Native Application Development
5 April 2023, PR Newswire

How to import data into Apache Solr
17 May 2022, TechRepublic

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24 January 2024, AWS Blog

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8 February 2024, Datanami

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
9 February 2024, AiThority

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17 December 2023, Foley & Lardner LLP

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

provided by Google News



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