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DBMS > Solr vs. Sphinx vs. Splice Machine

System Properties Comparison Solr vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.48
Rank#20  Overall
#3  Search engines
Score6.34
Rank#60  Overall
#7  Search engines
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitelucene.apache.org/­solrsphinxsearch.comsplicemachine.com
Technical documentationlucene.apache.org/­solr/­resources.htmlsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperApache Software FoundationSphinx Technologies Inc.Splice Machine
Initial release200620012014
Current release8.6.3, October 20203.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingnoyes
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.yes
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava pluginsnoyes infoJava
Triggersyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
SolrSphinxSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more

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More resources
SolrSphinxSplice Machine
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Recent citations in the news

Global Enterprise Search Software Market Top Manufacturers : Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, etc.
13 October 2020, TechnoWeekly

Enterprise Search Software Market Benefits, Forthcoming Developments, Business Opportunities | players: Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch
16 October 2020, PRnews Leader

Innovent Solutions Releases FindTuner® v3.1 That Helps Retailers of All Sizes Achieve Their Goals for Search
19 October 2020, MarTech Series

Why the Apache Lucene and Solr "divorce" is better for developers and users
8 July 2020, TechRepublic

Enterprise Search Software Market – increasing demand with Industry Professionals: Swiftype, Algolia, Elasticsearch
19 October 2020, Eurowire

provided by Google News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

LegalTech: Cyril Amarchand Mangaldas launches the second cohort of Prarambh
10 October 2020, TechGraph

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, Internet

Coronavirus-themed spam surged 14,000% in two weeks says IBM
30 March 2020, TechRepublic

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Splice Machine Announces the Launch of 'ML Minutes' - a Short-Form Podcast That Highlights Advances in Machine Learning
15 October 2020, PRNewswire

Are you a big data laggard? Here's how to catch up
16 October 2020, TechRepublic

Big Data Analytics in Banking Market 2020 Emerging Growth Factors By Top Companies – VMware, Amazon AWS, IBM, Tableau, Alation, SAP SE, Teradata, Google, Splice Machine, HP, Splunk Enterprise, Hitachi Data Systems, Oracle, Microsoft, New Relic, Alteryx
19 October 2020, PRnews Leader

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

provided by Google News

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