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DBMS > DolphinDB vs. GridGain vs. Solr vs. Sphinx vs. TerminusDB

System Properties Comparison DolphinDB vs. GridGain vs. Solr vs. Sphinx vs. TerminusDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGridGain  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.GridGain is an in-memory computing platform, built on Apache IgniteA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Search engineSearch engineGraph DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.dolphindb.comwww.gridgain.comsolr.apache.orgsphinxsearch.comterminusdb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.htmlsolr.apache.org/­resources.htmlsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperDolphinDB, IncGridGain Systems, Inc.Apache Software FoundationSphinx Technologies Inc.DataChemist Ltd.
Initial release20182007200620012018
Current releasev2.00.4, January 2022GridGain 8.5.19.6.0, April 20243.5.1, February 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJavaC++Prolog, Rust
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
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
Linux
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.noyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP/JSON API
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
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
JavaScript
Python
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)Java pluginsnoyes
Triggersnoyes (cache interceptors and events)yes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsSecurity Hooks for custom implementationsyesnoRole-based access control

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More resources
DolphinDBGridGainSolrSphinxTerminusDB infoformer name was DataChemist
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