DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. Titan vs. TypeDB

Vergleich der Systemeigenschaften Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. Titan vs. TypeDB

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTitan  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
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.
KurzbeschreibungSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformFully managed big data interactive analytics platformTitan ist ein Graph DBMS optimiert für verteilte Clusters.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedGraph DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Sekundäre DatenbankmodelleDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­services/­data-explorergithub.com/­thinkaurelius/­titantypedb.com
Technische Dokumentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­thinkaurelius/­titan/­wikitypedb.com/­docs
EntwicklerGoogleMicrosoftAurelius, owned by DataStaxVaticle
Erscheinungsjahr2008201920122016
Aktuelle Versioncloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Lizenz, Version 2.0Open Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava
Server BetriebssystemegehostetgehostetLinux
OS X
Unix
Windows
Linux
OS X
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, Details hierja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query language (GQL)Kusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Clojure
Java
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresmit Google App EngineYes, possible languages: KQL, Python, Rjanein
TriggersCallbacks mit Google Apps Engineja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceja infoüber integrierbare Storage BackendsSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using Paxosja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja infomittels Faunus, eine Graph Analytics Engineja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten 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
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infovia ReferenceProperties or Ancestor pathsneinja infoBeziehungen in Graphnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationBenutzer Authentification und Sicherheit via Rexster Graph Serveryes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud DatastoreMicrosoft Azure Data ExplorerTitanTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Google Cloud DatastoreMicrosoft Azure Data ExplorerTitanTypeDB infoformerly named Grakn
DB-Engines Blog Posts

Graph DBMS increased their popularity by 500% within the last 2 years
3. März 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21. Januar 2014, Matthias Gelbmann

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Best cloud storage of 2024
21. Mai 2024, TechRadar

Google Cloud Stops Exit Fees
12. Januar 2024, Spiceworks News and Insights

BigID Data Intelligence Platform Now Available on Google Cloud Marketplace
6. November 2023, PR Newswire

Google says it'll stop charging fees to transfer data out of Google Cloud
11. Januar 2024, TechCrunch

What is Google App Engine? | Definition from TechTarget
26. April 2024, TechTarget

bereitgestellt von Google News

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, azure.microsoft.com

Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog
13. Juli 2023, Microsoft

Controlling costs in Azure Data Explorer using down-sampling and aggregation
11. Februar 2019, azure.microsoft.com

Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services
7. Februar 2019, azure.microsoft.com

Log and Telemetry Analytics Performance Benchmark
16. August 2022, Gigaom

bereitgestellt von Google News

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20. August 2015, All Things Distributed

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services
24. August 2015, AWS Blog

JanusGraph Picks Up Where TitanDB Left Off
13. Januar 2017, Datanami

DataStax acquires Aurelius, the startup behind the Titan graph database
3. Februar 2015, VentureBeat

DSE Graph review: Graph database does double duty
14. November 2019, InfoWorld

bereitgestellt von Google News

An Enterprise Data Stack Using TypeDB | by Daniel Crowe
2. September 2021, Towards Data Science

Spacecraft Engineering Models: How to Migrate UML to TypeQL
8. September 2021, hackernoon.com

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9. November 2022, Business Wire

195 Data Science Libraries You Should Reconsider Using | by Dimitris Effrosynidis
2. Februar 2024, DataDrivenInvestor

Modelling Biomedical Data for a Drug Discovery Knowledge Graph
6. Oktober 2020, Towards Data Science

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Präsentieren Sie hier Ihr Produkt