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DBMS > GridDB vs. InterSystems Caché vs. JanusGraph vs. SwayDB

System Properties Comparison GridDB vs. InterSystems Caché vs. JanusGraph vs. SwayDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSwayDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionScalable in-memory time series database optimized for IoT and Big DataA multi-model DBMS and application serverA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegriddb.netwww.intersystems.com/­products/­cachejanusgraph.orgswaydb.simer.au
Technical documentationdocs.griddb.netdocs.intersystems.comdocs.janusgraph.org
DeveloperToshiba CorporationInterSystemsLinux Foundation; originally developed as Titan by AureliusSimer Plaha
Initial release2013199720172018
Current release5.1, August 20222018.1.4, May 20200.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScala
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesno
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
Clojure
Java
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
GridDBInterSystems CachéJanusGraph infosuccessor of TitanSwayDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBInterSystems CachéJanusGraph infosuccessor of TitanSwayDB
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