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

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

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEXASOL  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHigh-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.Elastic, 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 modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.exasol.comwww.hawkular.orgazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.dragonflydb.io/­docswww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperDragonflyDB team and community contributorsExasolCommunity supported by Red HatMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20232000201420162004
Current release1.0, March 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++Java
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemescheme-freeyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.Net
JDBC
ODBC
WebSocket
HTTP RESTADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
Lua
Python
R
Go
Java
Python
Ruby
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresLuauser defined functionsnoTransact SQLyes
Triggerspublish/subscribe channels provide some trigger functionalityyesyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono 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 dataAtomic execution of command blocks and scriptsACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesno
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and roles according to SQL-standardnoyesno

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More resources
DragonflyEXASOLHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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