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DBMS > Dgraph vs. GridDB vs. Pinecone vs. ToroDB

System Properties Comparison Dgraph vs. GridDB vs. Pinecone vs. ToroDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonPinecone  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSScalable in-memory time series database optimized for IoT and Big DataA managed, cloud-native vector databaseA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMSTime Series DBMSVector DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitedgraph.iogriddb.netwww.pinecone.iogithub.com/­torodb/­server
Technical documentationdgraph.io/­docsdocs.griddb.netdocs.pinecone.io/­docs/­overview
DeveloperDgraph Labs, Inc.Toshiba CorporationPinecone Systems, Inc8Kdata
Initial release2016201320192016
Current release5.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsLinux
OS X
Windows
LinuxhostedAll OS with a Java 7 VM
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampString, Number, Booleanyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
DgraphGridDBPineconeToroDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphGridDBPineconeToroDB
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