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DBMS > eXtremeDB vs. Graph Engine

System Properties Comparison eXtremeDB vs. Graph Engine

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 engine
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#213  Overall
#104  Relational DBMS
#16  Time Series DBMS
Score0.85
Rank#186  Overall
#17  Graph DBMS
#30  Key-value stores
Websitewww.mcobject.comwww.graphengine.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.graphengine.io/­docs/­manual
DeveloperMcObjectMicrosoft
Initial release20012010
Current release8.2, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++.NET and C
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
.NET
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 availableno
Secondary indexesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesyes
Triggersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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 storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
More information provided by the system vendor
eXtremeDBGraph Engine infoformer name: Trinity
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
eXtremeDBGraph Engine infoformer name: Trinity
Conferences and events

Is Hard Real-Time Possible with a DBMS?
Webinar, 3 February 2022

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