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DBMS > Amazon Aurora vs. Dgraph vs. Dragonfly vs. IBM Db2 Event Store vs. Postgres-XL

System Properties Comparison Amazon Aurora vs. Dgraph vs. Dragonfly vs. IBM Db2 Event Store vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDgraph  Xexclude from comparisonDragonfly  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed and scalable native Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceDistributed Event Store optimized for Internet of Things use casesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMSKey-value storeEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­rds/­auroradgraph.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­db2-event-storewww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldgraph.io/­docswww.dragonflydb.io/­docswww.ibm.com/­docs/­en/­db2-event-storewww.postgres-xl.org/­documentation
DeveloperAmazonDgraph Labs, Inc.DragonflyDB team and community contributorsIBM
Initial release20152016202320172014 infosince 2012, originally named StormDB
Current release1.0, March 20232.010 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1commercial infofree developer edition availableOpen Source infoMozilla public license
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++C and C++C
Server operating systemshostedLinux
OS X
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Data schemeyesschema-freescheme-freeyesyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.yesnononoyes infoXML type, but no XML query functionality
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesnonoyes infothrough the embedded Spark runtimeyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnoLuayesuser defined functions
Triggersyesnopublish/subscribe channels provide some trigger functionalitynoyes
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 RaftSource-replica replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serverNo - 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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesPassword-based authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon AuroraDgraphDragonflyIBM Db2 Event StorePostgres-XL
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