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DBMS > GridDB vs. JanusGraph vs. Newts vs. Pinecone vs. Quasardb

System Properties Comparison GridDB vs. JanusGraph vs. Newts vs. Pinecone vs. Quasardb

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNewts  Xexclude from comparisonPinecone  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Time Series DBMS based on CassandraA managed, cloud-native vector databaseDistributed, high-performance timeseries database
Primary database modelTime Series DBMSGraph DBMSTime Series DBMSVector DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
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#383  Overall
#41  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegriddb.netjanusgraph.orgopennms.github.io/­newtswww.pinecone.ioquasar.ai
Technical documentationdocs.griddb.netdocs.janusgraph.orggithub.com/­OpenNMS/­newts/­wikidocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­master
DeveloperToshiba CorporationLinux Foundation; originally developed as Titan by AureliusOpenNMS GroupPinecone Systems, Incquasardb
Initial release20132017201420192009
Current release5.1, August 20220.6.3, February 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC++
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesString, Number, Booleanyes infointeger and binary
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.nonononono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nononoSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Java API
RESTful HTTP APIHTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Python
JavaPython.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Faunus, a graph analytics enginenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph ServernoCryptographically strong user authentication and audit trail
More information provided by the system vendor
GridDBJanusGraph infosuccessor of TitanNewtsPineconeQuasardb
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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GridDBJanusGraph infosuccessor of TitanNewtsPineconeQuasardb
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