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DBMS > Cachelot.io vs. Hazelcast vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

System Properties Comparison Cachelot.io vs. Hazelcast vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionIn-memory caching systemA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts flagship relational DBMS
Primary database modelKey-value storeKey-value storeWide column storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitecachelot.iohazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-server
Technical documentationhazelcast.org/­imdg/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperHazelcastMicrosoftMicrosoft
Initial release2015200820121989
Current release5.3.6, November 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedLinux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infothe object must implement a serialization strategynoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsMemcached protocolJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoRole-based access controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Cachelot.ioHazelcastMicrosoft Azure Table StorageMicrosoft SQL Server
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