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DBMS > Dgraph vs. EsgynDB vs. EventStoreDB vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

System Properties Comparison Dgraph vs. EsgynDB vs. EventStoreDB vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Distributed Event Store optimized for Internet of Things use casesSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMSRelational DBMSEvent StoreEvent Store
Time Series DBMS
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitedgraph.iowww.esgyn.cnwww.eventstore.comwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­search
Technical documentationdgraph.io/­docsdevelopers.eventstore.comwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-us/­azure/­search
DeveloperDgraph Labs, Inc.EsgynEvent Store LimitedIBMMicrosoft
Initial release20162015201220172015
Current release21.2, February 20212.0V1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionhosted
Data schemeschema-freeyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersActive-active shard replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
DgraphEsgynDBEventStoreDBIBM Db2 Event StoreMicrosoft Azure AI Search
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