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DBMS > Amazon Aurora vs. eXtremeDB vs. Google Cloud Spanner vs. LMDB

System Properties Comparison Amazon Aurora vs. eXtremeDB vs. Google Cloud Spanner vs. LMDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonNatively in-memory DBMS with options for persistency, high-availability and clusteringA 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.A high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
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
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.mcobject.comcloud.google.com/­spannerwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­spanner/­docswww.lmdb.tech/­doc
DeveloperAmazonMcObjectGoogleSymas
Initial release2015200120172011
Current release8.2, 20210.9.32, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Unix
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.yesno infosupport of XML interfaces availablenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful 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
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyesyesnono
Triggersyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes 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 dataACIDACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Amazon AuroraeXtremeDBGoogle Cloud SpannerLMDB
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