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DBMS > BaseX vs. Google Cloud Datastore vs. TerminusDB vs. Titan vs. VelocityDB

System Properties Comparison BaseX vs. Google Cloud Datastore vs. TerminusDB vs. Titan vs. VelocityDB

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTitan  Xexclude from comparisonVelocityDB  Xexclude from comparison
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.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTitan is a Graph DBMS optimized for distributed clusters.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelNative XML DBMSDocument storeGraph DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#140  Overall
#4  Native XML DBMS
Score3.98
Rank#70  Overall
#12  Document stores
Score0.15
Rank#326  Overall
#30  Graph DBMS
Score0.00
Rank#386  Overall
#40  Graph DBMS
#20  Object oriented DBMS
Websitebasex.orgcloud.google.com/­datastoreterminusdb.comgithub.com/­thinkaurelius/­titanvelocitydb.com
Technical documentationdocs.basex.orgcloud.google.com/­datastore/­docsterminusdb.github.io/­terminusdb/­#github.com/­thinkaurelius/­titan/­wikivelocitydb.com/­UserGuide
DeveloperBaseX GmbHGoogleDataChemist Ltd.Aurelius, owned by DataStaxVelocityDB Inc
Initial release20072008201820122011
Current release11.2, August 202411.0.0, January 20237.x
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoGPL V3Open Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaProlog, RustJavaC#
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
OS X
Unix
Windows
Any that supports .NET
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, 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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query language (WOQL)nono
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.Net
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresyesusing Google App Engineyesyesno
Triggersyes infovia eventsCallbacks using the Google Apps EngineyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingGraph Partitioningyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosJournaling Streamsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlUser authentification and security via Rexster Graph ServerBased on Windows Authentication

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More resources
BaseXGoogle Cloud DatastoreTerminusDB infoformer name was DataChemistTitanVelocityDB
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