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DBMS > Dolt vs. Google Cloud Datastore vs. RDF4J vs. SwayDB vs. Tibero

System Properties Comparison Dolt vs. Google Cloud Datastore vs. RDF4J vs. SwayDB vs. Tibero

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSDocument storeRDF storeKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­datastorerdf4j.orgswaydb.simer.auus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.dolthub.comcloud.google.com/­datastore/­docsrdf4j.org/­documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDoltHub IncGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaTmaxSoft
Initial release20182008200420182003
Current release6, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScalaC and Assembler
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesnoyes
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.nononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (GQL)nonoyes
APIs and other access methodsCLI Client
HTTP REST
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseusing Google App EngineyesnoPersistent Stored Procedure (PSM)
TriggersyesCallbacks using the Google Apps Engineyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication using PaxosnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API usedAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next version
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
DoltGoogle Cloud DatastoreRDF4J infoformerly known as SesameSwayDBTibero
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