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DBMS > DataFS vs. eXtremeDB vs. Google Cloud Spanner vs. TigerGraph

System Properties Comparison DataFS vs. eXtremeDB vs. Google Cloud Spanner vs. TigerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Natively in-memory DBMS with options for persistency, high-availability and clusteringA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelObject oriented DBMSRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitenewdatabase.comwww.mcobject.comcloud.google.com/­spannerwww.tigergraph.com
Technical documentationdev.mobiland.com/­Overview.xspwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­spanner/­docsdocs.tigergraph.com
DeveloperMobiland AGMcObjectGoogle
Initial release2018200120172017
Current release1.1.263, October 20228.2, 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemsWindowsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyes infoQuery statements complying to ANSI 2011SQL-like query language (GSQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyesnoyes
Triggersno, except callback-events from server when changes happenedyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning / shardingSharding
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
Multi-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
More information provided by the system vendor
DataFSeXtremeDBGoogle Cloud SpannerTigerGraph
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,...
» more
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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More resources
DataFSeXtremeDBGoogle Cloud SpannerTigerGraph
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