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DBMS > DataFS vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

System Properties Comparison DataFS vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing serviceScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelObject oriented DBMSDocument storeRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitenewdatabase.comcloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehouseterminusdb.comvelocitydb.com
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­datastore/­docsterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperMobiland AGGoogleIBMDataChemist Ltd.VelocityDB Inc
Initial release20182008201420182011
Current release1.1.263, October 202211.0.0, January 20237.x
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageProlog, RustC#
Server operating systemsWindowshostedhostedLinuxAny that supports .NET
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonono infoImport/export of XML data possiblenono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesSQL-like query language (WOQL)no
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Python
.Net
Server-side scripts infoStored proceduresusing Google App EnginePL/SQL, SQL PLyesno
Triggersno, except callback-events from server when changes happenedCallbacks using the Google Apps EngineyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
DataFSGoogle Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBTerminusDB infoformer name was DataChemistVelocityDB
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