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DBMS > EXASOL vs. Hawkular Metrics vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison EXASOL vs. Hawkular Metrics vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.exasol.comwww.hawkular.orgjanusgraph.orgazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperExasolCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002014201720162004
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes infoRDF Schemas
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
Go
Java
Python
Ruby
Clojure
Java
Python
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesTransact SQLyes
Triggersyesyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno 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 dataACIDnoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoUser authentification and security via Rexster Graph Serveryesno

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More resources
EXASOLHawkular MetricsJanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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