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DBMS > Hazelcast vs. Heroic vs. Linter vs. Microsoft Azure Synapse Analytics vs. SiteWhere

System Properties Comparison Hazelcast vs. Heroic vs. Linter vs. Microsoft Azure Synapse Analytics vs. SiteWhere

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitehazelcast.comgithub.com/­spotify/­heroiclinter.ruazure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewhere
Technical documentationhazelcast.org/­imdg/­docsspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.html
DeveloperHazelcastSpotifyrelex.ruMicrosoftSiteWhere
Initial release20082014199020162010
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++Java
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 strategynononono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesyesno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyes infoproprietary syntax with the possibility to convert from PL/SQLTransact SQL
Triggersyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesSource-replica replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept

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More resources
HazelcastHeroicLinterMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhere
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