DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > LeanXcale vs. Microsoft Azure SQL Database vs. SiteWhere

System Properties Comparison LeanXcale vs. Microsoft Azure SQL Database vs. SiteWhere

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDatabase as a Service offering with high compatibility to Microsoft SQL ServerM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.leanxcale.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­sitewhere/­sitewhere
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlsitewhere1.sitewhere.io/­index.html
DeveloperLeanXcaleMicrosoftSiteWhere
Initial release201520102010
Current releaseV12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyes infothrough Apache Derbyyesno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC
Java
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresTransact SQL
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LeanXcaleMicrosoft Azure SQL Database infoformerly SQL AzureSiteWhere
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

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

show all

Recent citations in the news

Combining operational and analytical databases in a single platform
26 May 2017, Cordis News

provided by Google News

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers
25 April 2024, Microsoft

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database takes Saturday off on US east coast following network power failure
18 September 2023, The Register

Microsoft Announces a New Azure SQL Database Free Offer in Public Preview
1 October 2023, InfoQ.com

provided by Google News

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Present your product here