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

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

Editorial information provided by DB-Engines
NameITTIA  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.
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingDatabase 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 modelTime Series DBMSRelational DBMSTime Series DBMSRDF storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
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
Websitewww.ittia.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasequestdb.iordf4j.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlquestdb.io/­docsrdf4j.org/­documentation
DeveloperITTIA L.L.C.MicrosoftQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release20072010201420042005
Current release8.7V12
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 servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java (Zero-GC), C++, RustJava
Server operating systemsLinux
Windows
hostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeFixed schemayesyes 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 dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyesyes
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.noyesnoyes infoin Aster File Store
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL with time-series extensionsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
ADO.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 languagesC
C++
JavaScript (Node.js)
Python
.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 proceduresyesTransact SQLnoyesR packages
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, 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 integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID for single-table writesACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyes infothrough memory mapped filesno
User concepts infoAccess controlDatabase file passwordsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
ITTIAMicrosoft 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ITTIAMicrosoft Azure SQL Database infoformerly SQL AzureQuestDBRDF4J infoformerly known as SesameTeradata Aster
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