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DBMS > Dgraph vs. Geode vs. GridDB vs. IBM Db2 Event Store

System Properties Comparison Dgraph vs. Geode vs. GridDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGeode  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesScalable in-memory time series database optimized for IoT and Big DataDistributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMSKey-value storeTime Series DBMSEvent Store
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitedgraph.iogeode.apache.orggriddb.netwww.ibm.com/­products/­db2-event-store
Technical documentationdgraph.io/­docsgeode.apache.org/­docsdocs.griddb.netwww.ibm.com/­docs/­en/­db2-event-store
DeveloperDgraph Labs, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Toshiba CorporationIBM
Initial release2016200220132017
Current release1.1, February 20175.1, August 20222.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)SQL92, SQL-like TQL (Toshiba Query Language)yes infothrough the embedded Spark runtime
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationSource-replica replicationActive-active shard 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 containersEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
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 releasesAccess rights per client and object definableAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphGeodeGridDBIBM Db2 Event Store
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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DgraphGeodeGridDBIBM Db2 Event Store
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