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DBMS > EXASOL vs. Faircom EDGE vs. jBASE vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison EXASOL vs. Faircom EDGE vs. jBASE vs. Microsoft Azure Synapse Analytics vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonjBASE  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA robust multi-value DBMS comprising development tools and middlewareElastic, 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 DBMSKey-value store
Relational DBMS
Multivalue DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score0.06
Rank#373  Overall
#56  Key-value stores
#156  Relational DBMS
Score1.68
Rank#151  Overall
#3  Multivalue DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score0.72
Rank#234  Overall
#9  RDF stores
Websitewww.exasol.comwww.faircom.com/­products/­faircom-edgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.exasol.com/­resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperExasolFairCom CorporationRocket Software (formerly Zumasys)MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20001979199120162004
Current releaseV3, October 20205.7
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercialOpen 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 languageANSI C, C++C++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesoptionalyesyes
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.noyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesEmbedded SQL for jBASE in BASICyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Basic
Jabbascript
Java
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++yesTransact SQLyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnono 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 dataACIDACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights can be defined down to the item levelyesno

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More resources
EXASOLFaircom EDGE infoformerly c-treeEDGEjBASEMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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