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DBMS > eXtremeDB vs. Graph Engine vs. Hyprcubd vs. Microsoft Azure Synapse Analytics vs. Titan

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

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTitan  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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 engineServerless Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Time Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.mcobject.comwww.graphengine.iohyprcubd.com (offline)azure.microsoft.com/­services/­synapse-analyticsgithub.com/­thinkaurelius/­titan
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMcObjectMicrosoftHyprcubd, Inc.MicrosoftAurelius, owned by DataStax
Initial release2001201020162012
Current release8.2, 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++.NET and CGoC++Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
.NEThostedhostedLinux
OS X
Unix
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 availablenonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSQL-like query languageyesno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIgRPC (https)ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
F#
Visual Basic
C#
Java
PHP
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesnoTransact SQLyes
Triggersyes infoby defining eventsnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioningSharding, horizontal partitioningyes infovia pluggable storage backends
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
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesnoyesyes
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 storageyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controltoken accessyesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
eXtremeDBGraph Engine infoformer name: TrinityHyprcubdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTitan
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,...
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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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More resources
eXtremeDBGraph Engine infoformer name: TrinityHyprcubdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTitan
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