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DBMS > Amazon CloudSearch vs. Microsoft Azure SQL Database vs. QuestDB vs. RDF4J vs. Teradata Aster

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure SQL Database vs. QuestDB vs. RDF4J vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Platform for big data analytics on multistructured data sources and types
Primary database modelSearch engineRelational DBMSTime Series DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­en-us/­products/­azure-sql/­databasequestdb.iordf4j.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.microsoft.com/­en-us/­azure/­azure-sqlquestdb.io/­docsrdf4j.org/­documentation
DeveloperAmazonMicrosoftQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release20122010201420042005
Current releaseV12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
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++Java (Zero-GC), C++, RustJava
Server operating systemshostedhostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoin Aster File Store
Secondary indexesyes infoall search fields are automatically indexedyesnoyesyes
SQL infoSupport of SQLnoyesSQL with time-series extensionsnoyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoTransact SQLnoyesR packages
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by timestamps)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, with always 3 replicas availableSource-replica replication with eventual consistencynoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesno
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchMicrosoft Azure SQL Database infoformerly SQL AzureQuestDBRDF4J infoformerly known as SesameTeradata Aster
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Amazon CloudSearchMicrosoft Azure SQL Database infoformerly SQL AzureQuestDBRDF4J infoformerly known as SesameTeradata Aster
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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