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DBMS > Amazon Aurora vs. Dgraph vs. EXASOL vs. Google Cloud Bigtable vs. IBM Db2 Event Store

System Properties Comparison Amazon Aurora vs. Dgraph vs. EXASOL vs. Google Cloud Bigtable vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDgraph  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed and scalable native Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Wide column store
Event Store
Time Series DBMS
Secondary database modelsDocument store
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
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroradgraph.iowww.exasol.comcloud.google.com/­bigtablewww.ibm.com/­products/­db2-event-store
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldgraph.io/­docswww.exasol.com/­resourcescloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonDgraph Labs, Inc.ExasolGoogleIBM
Initial release20152016200020152017
Current release2.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++
Server operating systemshostedLinux
OS X
Windows
hostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesnoyesnoyes infothrough the embedded Spark runtime
APIs and other access methodsADO.NET
JDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
Java
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnouser defined functionsnoyes
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - 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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Amazon AuroraDgraphEXASOLGoogle Cloud BigtableIBM Db2 Event Store
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