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DBMS > Amazon Aurora vs. Google Cloud Spanner vs. Prometheus vs. XTDB

System Properties Comparison Amazon Aurora vs. Google Cloud Spanner vs. Prometheus vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPrometheus  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA 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.Open-source Time Series DBMS and monitoring systemA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument 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
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websiteaws.amazon.com/­rds/­auroracloud.google.com/­spannerprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcloud.google.com/­spanner/­docsprometheus.io/­docswww.xtdb.com/­docs
DeveloperAmazonGoogleJuxt Ltd.
Initial release2015201720152019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoClojure
Server operating systemshostedhostedLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes, extensible-data-notation format
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.yesnono infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011nolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP/JSON APIHTTP REST
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes infoby Federationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
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 AuroraGoogle Cloud SpannerPrometheusXTDB infoformerly named Crux
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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Recent citations in the news

Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server
24 September 2024, AWS Blog

Replace Amazon QLDB with Amazon Aurora PostgreSQL for audit use cases
18 July 2024, AWS Blog

Review your Amazon Aurora and Amazon RDS security configuration with Prowler’s new checks
6 August 2024, AWS Blog

Build generative AI applications with Amazon Aurora and Amazon Bedrock Knowledge Bases
2 February 2024, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda
14 May 2024, AWS Blog

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Google Cloud Enhances Spanner with Dual-Region Configuration
1 August 2024, InfoQ.com

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1 August 2024, TechTarget

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

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