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DBMS > Dgraph vs. Drizzle vs. IBM Db2 Event Store vs. Kinetica vs. SAP SQL Anywhere

System Properties Comparison Dgraph vs. Drizzle vs. IBM Db2 Event Store vs. Kinetica vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Distributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitedgraph.iowww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDgraph Labs, Inc.Drizzle project, originally started by Brian AkerIBMKineticaSAP infoformerly Sybase
Initial release20162008201720121992
Current release7.2.4, September 20122.07.1, August 202117, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C and C++C, C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinuxAIX
HP-UX
Linux
OS X
Solaris
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.nononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesuser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication
Source-replica replication
Active-active shard replicationSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlno infoPlanned for future releasesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
DgraphDrizzleIBM Db2 Event StoreKineticaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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