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DBMS > Dgraph vs. Dragonfly vs. GridDB vs. Teradata

System Properties Comparison Dgraph vs. Dragonfly vs. GridDB vs. Teradata

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDragonfly  Xexclude from comparisonGridDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceScalable in-memory time series database optimized for IoT and Big DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSKey-value storeTime Series DBMSRelational 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitedgraph.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
griddb.netwww.teradata.com
Technical documentationdgraph.io/­docswww.dragonflydb.io/­docsdocs.griddb.netdocs.teradata.com
DeveloperDgraph Labs, Inc.DragonflyDB team and community contributorsToshiba CorporationTeradata
Initial release2016202320131984
Current release1.0, March 20235.1, August 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinuxhosted
Linux
Data schemeschema-freescheme-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononoyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL 2016 + extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoLuanoyes infoUDFs, stored procedures, table functions in parallel
Triggersnopublish/subscribe channels provide some trigger functionalityyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.yesyesyes
User concepts infoAccess controlno infoPlanned for future releasesPassword-based authenticationAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphDragonflyGridDBTeradata
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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DgraphDragonflyGridDBTeradata
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