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DBMS > Hawkular Metrics vs. HyperSQL vs. JanusGraph vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics

System Properties Comparison Hawkular Metrics vs. HyperSQL vs. JanusGraph vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Database as a Service offering with high compatibility to Microsoft SQL ServerElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelTime Series DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.hawkular.orghsqldb.orgjanusgraph.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehsqldb.org/­web/­hsqlDocsFrame.htmldocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.microsoft.com/­azure/­synapse-analytics
DeveloperCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusMicrosoftMicrosoft
Initial release20142001201720102016
Current release2.7.2, June 20230.6.3, February 2023V12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Unix
Windows
hostedhosted
Data schemeschema-freeyesyesyesyes
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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsHTTP RESTHTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
All languages supporting JDBC/ODBC
Java
Clojure
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoJava, SQLyesTransact SQLTransact SQL
Triggersyes infovia Hawkular Alertingyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyesyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardyes

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More resources
Hawkular MetricsHyperSQL infoalso known as HSQLDBJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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