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DBMS > AgensGraph vs. Geode vs. Graph Engine vs. IBM Db2 Event Store

System Properties Comparison AgensGraph vs. Geode vs. Graph Engine vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeode  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMS
Relational DBMS
Key-value storeGraph DBMS
Key-value store
Event Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitebitnine.net/­agensgraphgeode.apache.orgwww.graphengine.iowww.ibm.com/­products/­db2-event-store
Technical documentationbitnine.net/­documentationgeode.apache.org/­docswww.graphengine.io/­docs/­manualwww.ibm.com/­docs/­en/­db2-event-store
DeveloperBitnine Global Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftIBM
Initial release2016200220102017
Current release2.1, December 20181.1, February 20172.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMIT Licensecommercial 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 languageCJava.NET and CC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also required.NETLinux infoLinux, macOS, Windows for the developer addition
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnono
SQL infoSupport of SQLyesSQL-like query language (OQL)noyes infothrough the embedded Spark runtime
APIs and other access methodsCypher Query Language
JDBC
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
F#
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsyesyes
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageYes - 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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
AgensGraphGeodeGraph Engine infoformer name: TrinityIBM Db2 Event Store
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