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DBMS > Datomic vs. Infobright vs. NSDb vs. Solr vs. Sphinx

System Properties Comparison Datomic vs. Infobright vs. NSDb vs. Solr vs. Sphinx

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInfobright  Xexclude from comparisonNSDb  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.datomic.comignitetech.com/­softwarelibrary/­infobrightdbnsdb.iosolr.apache.orgsphinxsearch.com
Technical documentationdocs.datomic.comnsdb.io/­Architecturesolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperCognitectIgnite Technologies Inc.; formerly InfoBright Inc.Apache Software FoundationSphinx Technologies Inc.
Initial release20122005201720062001
Current release1.0.6735, June 20239.6.0, April 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCJava, ScalaJavaC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
All 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
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infosupports customizable data types and automatic typingno
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.nononoyes
Secondary indexesyesno infoKnowledge Grid Technology used insteadall fields are automatically indexedyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query languageSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesClojure
Java
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Scala
.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
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnonoJava pluginsno
TriggersBy using transaction functionsnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyesno

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More resources
DatomicInfobrightNSDbSolrSphinx
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