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DBMS > Microsoft Azure Table Storage vs. SiteWhere vs. Spark SQL vs. Warp 10 vs. YottaDB

System Properties Comparison Microsoft Azure Table Storage vs. SiteWhere vs. Spark SQL vs. Warp 10 vs. YottaDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonWarp 10  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA fast and solid embedded Key-value store
Primary database modelWide column storeTime Series DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­sitewhere/­sitewherespark.apache.org/­sqlwww.warp10.ioyottadb.com
Technical documentationsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.warp10.io/­content/­02_Getting_startedyottadb.com/­resources/­documentation
DeveloperMicrosoftSiteWhereApache Software FoundationSenXYottaDB, LLC
Initial release20122010201420152001
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoApache License 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaJavaC
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freepredefined schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesnonononono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnoby using the Octo plugin
APIs and other access methodsRESTful HTTP APIHTTP RESTJDBC
ODBC
HTTP API
Jupyter
WebSocket
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoyes infoWarpScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseyes, utilizing Spark CoreSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBasenoneselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnononooptimistic locking
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.nononoyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptnoMandatory use of cryptographic tokens, containing fine-grained authorizationsUsers and groups based on OS-security mechanisms

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More resources
Microsoft Azure Table StorageSiteWhereSpark SQLWarp 10YottaDB
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