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DBMS > Amazon Aurora vs. Amazon SimpleDB vs. Apache Impala vs. Postgres-XL vs. SurrealDB

System Properties Comparison Amazon Aurora vs. Amazon SimpleDB vs. Apache Impala vs. Postgres-XL vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsDocument storeDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­simpledbimpala.apache.orgwww.postgres-xl.orgsurrealdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlwww.postgres-xl.org/­documentationsurrealdb.com/­docs
DeveloperAmazonAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSurrealDB Ltd
Initial release2015200720132014 infosince 2012, originally named StormDB2022
Current release4.1.0, June 202210 R1, October 2018v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoMozilla public licenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CRust
Server operating systemshostedhostedLinuxLinux
macOS
Linux
macOS
Windows
Data schemeyesschema-freeyesyesschema-free
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL
RESTful HTTP API
WebSocket
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++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoSharding must be implemented in the applicationShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
Amazon AuroraAmazon SimpleDBApache ImpalaPostgres-XLSurrealDB
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