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DBMS > eXtremeDB vs. Graph Engine vs. Kdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison eXtremeDB vs. Graph Engine vs. Kdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitewww.mcobject.comwww.graphengine.iokx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.graphengine.io/­docs/­manualcode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperMcObjectMicrosoftKx Systems, a division of First Derivatives plcMicrosoft
Initial release200120102000 infokdb was released 2000, kdb+ in 20032016
Current release8.2, 20213.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++.NET and CqC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
.NETLinux
OS X
Solaris
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infosupport of XML interfaces availablenoyesno
Secondary indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSQL-like query language (q)yes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
F#
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesuser defined functionsTransact SQL
Triggersyes infoby defining eventsnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioninghorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno 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 dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlrights management via user accountsyes
More information provided by the system vendor
eXtremeDBGraph Engine infoformer name: TrinityKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
eXtremeDBGraph Engine infoformer name: TrinityKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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