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DBMS > Amazon Aurora vs. Dgraph vs. Dragonfly vs. GBase vs. IBM Db2 Event Store

System Properties Comparison Amazon Aurora vs. Dgraph vs. Dragonfly vs. GBase vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDgraph  Xexclude from comparisonDragonfly  Xexclude from comparisonGBase  Xexclude from comparisonIBM Db2 Event Store  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 instanceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSGraph DBMSKey-value storeRelational DBMSEvent Store
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroradgraph.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gbase.cnwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldgraph.io/­docswww.dragonflydb.io/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonDgraph Labs, Inc.DragonflyDB team and community contributorsGeneral Data Technology Co., Ltd.IBM
Initial release20152016202320042017
Current release1.0, March 2023GBase 8a, GBase 8s, GBase 8c2.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C, Java, PythonC and C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinuxLinux infoLinux, macOS, Windows for the developer addition
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.yesnonoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesnonoStandard with numerous extensionsyes infothrough the embedded Spark runtime
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
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoLuauser defined functionsyes
Triggersyesnopublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftSource-replica replicationyesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesPassword-based authenticationyesfine grained access rights according to SQL-standard

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More resources
Amazon AuroraDgraphDragonflyGBaseIBM Db2 Event Store
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