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DBMS > EJDB vs. GridGain vs. openGemini vs. Sphinx vs. TerminusDB

System Properties Comparison EJDB vs. GridGain vs. openGemini vs. Sphinx vs. TerminusDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonopenGemini  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GridGain is an in-memory computing platform, built on Apache IgniteAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen 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 modelDocument storeKey-value store
Relational DBMS
Time Series DBMSSearch engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gridgain.comwww.opengemini.org
github.com/­openGemini
sphinxsearch.comterminusdb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmldocs.opengemini.org/­guidesphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperSoftmotionsGridGain Systems, Inc.Huawei and openGemini communitySphinx Technologies Inc.DataChemist Ltd.
Initial release20122007202220012018
Current releaseGridGain 8.5.11.1, July 20233.5.1, February 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache Version 2.0Open 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 languageCJava, C++, .NetGoC++Prolog, Rust
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesInteger, Float, Boolean, Stringnoyes
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.yesnono
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsin-process shared libraryHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTProprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersnoyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yesnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAdministrators and common users accountsnoRole-based access control

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More resources
EJDBGridGainopenGeminiSphinxTerminusDB infoformer name was DataChemist
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