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DBMS > Microsoft Azure Table Storage vs. ObjectBox vs. SQream DB vs. Tkrzw

System Properties Comparison Microsoft Azure Table Storage vs. ObjectBox vs. SQream DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and Mobilea GPU-based, columnar RDBMS for big data analytics workloadsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelWide column storeObject oriented DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.iosqream.comdbmx.net/­tkrzw
Technical documentationdocs.objectbox.iodocs.sqream.com
DeveloperMicrosoftObjectBox LimitedSQream TechnologiesMikio Hirabayashi
Initial release2012201720172020
Current release2022.1.6, December 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
LinuxLinux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIProprietary native API.Net
JDBC
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions in Pythonno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyesno
More information provided by the system vendor
Microsoft Azure Table StorageObjectBoxSQream DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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