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DBMS > Amazon SimpleDB vs. EXASOL vs. Google Cloud Spanner vs. GreptimeDB vs. RDFox

System Properties Comparison Amazon SimpleDB vs. EXASOL vs. Google Cloud Spanner vs. GreptimeDB vs. RDFox

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A 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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­simpledbwww.exasol.comcloud.google.com/­spannergreptime.comwww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­simpledbwww.exasol.com/­resourcescloud.google.com/­spanner/­docsdocs.greptime.comdocs.oxfordsemantic.tech
DeveloperAmazonExasolGoogleGreptime Inc.Oxford Semantic Technologies
Initial release20072000201720222017
Current release6.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++
Server operating systemshostedhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free, schema definition possibleyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyesyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
gRPC
HTTP API
JDBC
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
C
Java
Server-side scripts infoStored proceduresnouser defined functionsnoPython
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access 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)Simple rights management via user accountsRoles, resources, and access types
More information provided by the system vendor
Amazon SimpleDBEXASOLGoogle Cloud SpannerGreptimeDBRDFox
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Amazon SimpleDBEXASOLGoogle Cloud SpannerGreptimeDBRDFox
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