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DBMS > Amazon Aurora vs. AntDB vs. Dgraph vs. IBM Db2 Event Store vs. Kdb

System Properties Comparison Amazon Aurora vs. AntDB vs. Dgraph vs. IBM Db2 Event Store vs. Kdb

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAntDB  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleDistributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSGraph DBMSEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmldgraph.iowww.ibm.com/­products/­db2-event-storekx.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-storecode.kx.com
DeveloperAmazonAsiaInfo Technologies LimitedDgraph Labs, Inc.IBMKx Systems, a division of First Derivatives plc
Initial release2015201620172000 infokdb was released 2000, kdb+ in 2003
Current release2.03.6, May 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++q
Server operating systemshostedLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
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.yesnonoyes
Secondary indexesyesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLyesSQL2016 compliantnoyes infothrough the embedded Spark runtimeSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
MySQL protocol compliant
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyesuser defined functions
Triggersyesyesnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Amazon AuroraAntDBDgraphIBM Db2 Event StoreKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon AuroraAntDBDgraphIBM Db2 Event StoreKdb
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