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DBMS > Microsoft Azure Table Storage vs. Prometheus vs. Realm vs. Sqrrl vs. StarRocks

System Properties Comparison Microsoft Azure Table Storage vs. Prometheus vs. Realm vs. Sqrrl vs. StarRocks

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparisonStarRocks  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache AccumuloAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelWide column storeTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesprometheus.iorealm.iosqrrl.comwww.starrocks.io
Technical documentationprometheus.io/­docsrealm.io/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.The Linux Foundation infosince Feb 2023
Initial release20122015201420122020
Current release2.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoApache Version 2.0
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 languageGoJavaC++, Java
Server operating systemshostedLinux
Windows
Android
Backend: server-less
iOS
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.nono infoImport of XML data possiblenono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
MySQL protocol
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Java
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessarynouser defined functions
Triggersnonoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding infomaking use of Hadoophorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby Federationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACIDAtomic updates per row, document, or graph entityno
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.nonoyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rights

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More resources
Microsoft Azure Table StoragePrometheusRealmSqrrlStarRocks
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