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DBMS > Amazon Aurora vs. BoltDB vs. Dgraph vs. Google Cloud Spanner vs. IBM Db2 Event Store

System Properties Comparison Amazon Aurora vs. BoltDB vs. Dgraph vs. Google Cloud Spanner vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBoltDB  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embedded key-value store for Go.Distributed and scalable native Graph DBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSKey-value storeGraph DBMSRelational DBMSEvent 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
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­boltdb/­boltdgraph.iocloud.google.com/­spannerwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldgraph.io/­docscloud.google.com/­spanner/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonDgraph Labs, Inc.GoogleIBM
Initial release20152013201620172017
Current release2.0
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialcommercial 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 languageGoGoC and C++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLyesnonoyes infoQuery statements complying to ANSI 2011yes infothrough the embedded Spark runtime
APIs and other access methodsADO.NET
JDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
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
GoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresyesnononoyes
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSynchronous replication via RaftMulti-source replication with 3 replicas for regional instances.Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoStrict serializable isolationno
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoPlanned for future releasesAccess 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 AuroraBoltDBDgraphGoogle Cloud SpannerIBM Db2 Event Store
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