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DBMS > AnzoGraph DB vs. Ignite vs. Microsoft Azure Data Explorer vs. TypeDB

Vergleich der Systemeigenschaften AnzoGraph DB vs. Ignite vs. Microsoft Azure Data Explorer vs. TypeDB

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NameAnzoGraph DB  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellGraph DBMS
RDF Store
Key-Value Store
Relational DBMS
Relational DBMS infocolumn orientedGraph 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
Punkte0,23
Rang#307  Overall
#24  Graph DBMS
#13  RDF Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitecambridgesemantics.com/­anzographignite.apache.orgazure.microsoft.com/­services/­data-explorertypedb.com
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorertypedb.com/­docs
EntwicklerCambridge SemanticsApache Software FoundationMicrosoftVaticle
Erscheinungsjahr2018201520192016
Aktuelle Version2.3, Jänner 2021Apache Ignite 2.6cloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availableOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, Java, .NetJava
Server BetriebssystemeLinuxLinux
OS X
Solaris
Windows
gehostetLinux
OS X
Windows
DatenschemaSchema-free and OWL/RDFS-schema supportjaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein
Sekundärindizesneinjaall fields are automatically indexedja
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Unterstützte ProgrammiersprachenC++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rnein
Triggersneinyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardingShardingSharding infoImplicit feature of the cloud serviceSharding infoby using Cassandra
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-Clusteryes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsneinneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesSecurity Hooks for custom implementationsAzure Active Directory Authenticationyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph DBIgniteMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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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...
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Weitere Ressourcen
AnzoGraph DBIgniteMicrosoft Azure Data ExplorerTypeDB infoformerly named Grakn
Erwähnungen in aktuellen Nachrichten

AnzoGraph review: A graph database for deep analytics
15. April 2019, InfoWorld

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23. Januar 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8. Februar 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5. März 2018, ZDNet

Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
19. September 2018, Forbes

bereitgestellt von Google News

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8. Februar 2024, PR Newswire

Apache Ignite: An Overview
6. September 2023, Open Source For You

What is Apache Ignite? How is Apache Ignite Used?
18. Juli 2022, The Stack

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS | Amazon Web Services
14. Mai 2016, AWS Blog

Fire up big data processing with Apache Ignite
27. Oktober 2016, InfoWorld

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

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



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