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DBMS > Dgraph vs. GridDB vs. SwayDB vs. Teradata vs. VictoriaMetrics

System Properties Comparison Dgraph vs. GridDB vs. SwayDB vs. Teradata vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSScalable in-memory time series database optimized for IoT and Big DataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA hybrid cloud data analytics software platform (Teradata Vantage)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMSTime Series DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.00
Rank#382  Overall
#59  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedgraph.iogriddb.netswaydb.simer.auwww.teradata.comvictoriametrics.com
Technical documentationdgraph.io/­docsdocs.griddb.netdocs.teradata.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDgraph Labs, Inc.Toshiba CorporationSimer PlahaTeradataVictoriaMetrics
Initial release20162013201819842018
Current release5.1, August 2022Teradata Vantage 1.0 MU2, January 2019v1.91, May 2023
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 availableOpen Source infoGNU Affero GPL V3.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ScalaGo
Server operating systemsLinux
OS X
Windows
Linuxhosted
Linux
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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.nononoyesno
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noyes infoSQL 2016 + extensionsno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Kotlin
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationnoneMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelAtomic execution of operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphGridDBSwayDBTeradataVictoriaMetrics
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
DgraphGridDBSwayDBTeradataVictoriaMetrics
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