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DBMS > atoti vs. Microsoft Azure Table Storage vs. Ultipa

System Properties Comparison atoti vs. Microsoft Azure Table Storage vs. Ultipa

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A Wide Column Store for rapid development using massive semi-structured datasetsHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelObject oriented DBMSWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteatoti.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.ultipa.com
Technical documentationdocs.atoti.iowww.ultipa.com/­document
DeveloperActiveViamMicrosoftUltipa
Initial release20122019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
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 languageJava
Server operating systemshosted
Data schemeschema-free
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)no
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signatures

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More resources
atotiMicrosoft Azure Table StorageUltipa
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