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DBMS > Hazelcast vs. Microsoft SQL Server vs. Trafodion

System Properties Comparison Hazelcast vs. Microsoft SQL Server vs. Trafodion

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA widely adopted in-memory data gridMicrosofts flagship relational DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSRelational 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
Score10.08
Rank#48  Overall
#6  Key-value stores
Score941.20
Rank#3  Overall
#3  Relational DBMS
Score0.43
Rank#252  Overall
#119  Relational DBMS
Websitehazelcast.comwww.microsoft.com/­en-us/­sql-servertrafodion.apache.org
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-US/­sql/­sql-servertrafodion.apache.org
DeveloperHazelcastMicrosoftApache Software Foundation, originally developed by HP
Initial release200819892014
Current release5.1, March 2022SQL Server 2019, November 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava Stored Procedures
Triggersyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes, but depending on the SQL-Server Editionyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HazelcastMicrosoft SQL ServerTrafodion
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