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DBMS > GridGain vs. JanusGraph vs. Sphinx vs. TerminusDB vs. YDB

System Properties Comparison GridGain vs. JanusGraph vs. Sphinx vs. TerminusDB vs. YDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open 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 relationshipsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMSSearch engineGraph DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitewww.gridgain.comjanusgraph.orgsphinxsearch.comterminusdb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#ydb.tech/­en/­docs
DeveloperGridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusSphinx Technologies Inc.DataChemist Ltd.Yandex
Initial release20072017200120182019
Current releaseGridGain 8.5.11.0.0, October 20233.5.1, February 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLJavaC++Prolog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnonono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)SQL-like query language (WOQL)SQL-like query language (YQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoyesno
Triggersyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supportedGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnoneJournaling StreamsActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
User authentification and security via Rexster Graph ServernoRole-based access controlAccess rights defined for Yandex Cloud users

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GridGainJanusGraph infosuccessor of TitanSphinxTerminusDB infoformer name was DataChemistYDB
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