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DBMS > Dgraph vs. Drizzle vs. EsgynDB vs. IBM Db2 Event Store vs. NuoDB

System Properties Comparison Dgraph vs. Drizzle vs. EsgynDB vs. IBM Db2 Event Store vs. NuoDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNuoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Event Store optimized for Internet of Things use casesNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMSRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#127  Overall
#10  Graph DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score0.45
Rank#248  Overall
#2  Event Stores
#17  Time Series DBMS
Score1.10
Rank#167  Overall
#84  Relational DBMS
Websitedgraph.iowww.esgyn.cnwww.ibm.com/­products/­db2-event-storenuodb.com
Technical documentationdgraph.io/­docswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldoc.nuodb.com
DeveloperDgraph Labs, Inc.Drizzle project, originally started by Brian AkerEsgynIBMNuoDB, Inc.
Initial release20162008201520172013
Current release7.2.4, September 20122.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercialcommercial infofree developer edition availablecommercial infolimited edition free
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++C++, JavaC and C++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux infoLinux, macOS, Windows for the developer additionhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyes infothrough the embedded Spark runtimeyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCADO.NET
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PHP
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
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored ProceduresyesJava, SQL
Triggersnono infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersActive-active shard replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes infoMVCC
Durability infoSupport for making data persistentyesyesyesYes - 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.noyesyes infoTemporary table
User concepts infoAccess controlno infoPlanned for future releasesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
DgraphDrizzleEsgynDBIBM Db2 Event StoreNuoDB
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
DgraphDrizzleEsgynDBIBM Db2 Event StoreNuoDB
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