DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Fujitsu Enterprise Postgres vs. GridGain vs. Microsoft Azure Data Explorer vs. Neo4j vs. OrientDB

Vergleich der Systemeigenschaften Fujitsu Enterprise Postgres vs. GridGain vs. Microsoft Azure Data Explorer vs. Neo4j vs. OrientDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFujitsu Enterprise Postgres  Xaus Vergleich ausschliessenGridGain  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenOrientDB  Xaus Vergleich ausschliessen
KurzbeschreibungEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.GridGain is an in-memory computing platform, built on Apache IgniteFully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsMulti-model DBMS (Document, Graph, Key/Value)
Primäres DatenbankmodellRelational DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedGraph DBMSDocument Store
Graph DBMS
Key-Value Store
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Document 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
Punkte0,37
Rang#278  Overall
#128  Relational DBMS
Punkte1,55
Rang#150  Overall
#26  Key-Value Stores
#70  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte44,89
Rang#21  Overall
#1  Graph DBMS
Punkte3,25
Rang#89  Overall
#16  Document Stores
#6  Graph DBMS
#13  Key-Value Stores
Websitewww.postgresql.fastware.comwww.gridgain.comazure.microsoft.com/­services/­data-explorerneo4j.comorientdb.org
Technische Dokumentationwww.postgresql.fastware.com/­product-manualswww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docswww.orientdb.com/­docs/­last/­index.html
EntwicklerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGridGain Systems, Inc.MicrosoftNeo4j, Inc.OrientDB LTD; CallidusCloud; SAP
Erscheinungsjahr2007201920072010
Aktuelle VersionFujitsu Enterprise Postgres 14, January 2022GridGain 8.5.1cloud service with continuous releases5.20, Mai 20243.2.29, Maerz 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheCJava, C++, .NetJava, ScalaJava
Server BetriebssystemeLinux
Windows
Linux
OS X
Solaris
Windows
gehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Alle Betriebssysteme mit einer Java JDK (>= JDK 6)
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionalschemafrei infoSchema kann erzwungen werden: für kompletten Satz ("schema-full") oder nur für einzelne Attribute ("schema-hybrid")
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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, XSLTjajanein
Sekundärindizesjajaall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Luceneja
SQL infoSupport of SQLjaANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetneinSQL-like query language, no joins
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rja infoUser defined Procedures and FunctionsJava, Javascript
Triggersjayes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event HandlerHooks
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenpartitioning by range, list and by hashShardingSharding infoImplicit feature of the cloud serviceja, mit Neo4j FabricSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-Source Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein infocould be achieved with distributed queries
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Fremdschlüssel inforeferenzielle Integritätjaneinneinja infoBeziehungen in Graphenja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)jajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardSecurity Hooks for custom implementationsAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Zugriffsrechte für Benutzer und Rollen, Rechte auch auf Satzebene
Weitere Informationen bereitgestellt vom Systemhersteller
Fujitsu Enterprise PostgresGridGainMicrosoft Azure Data ExplorerNeo4jOrientDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Neuigkeiten

Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development
10. Juni 2024

This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more
8. Juni 2024

Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud
4. Juni 2024

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph
4. Juni 2024

This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more
1. Juni 2024

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
Fujitsu Enterprise PostgresGridGainMicrosoft Azure Data ExplorerNeo4jOrientDB
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

alle anzeigen

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

Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ...
26. Februar 2015, Fujitsu

Expert Insight 202009 KAC
4. September 2023, Fujitsu

Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ...
28. Juni 2023, Fujitsu

Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain
22. Mai 2018, The Register

DCPMM
1. August 2020, Fujitsu

bereitgestellt von Google News

GridGain in-memory data and generative AI – Blocks and Files
10. Mai 2024, Blocks and Files

GridGain's 2023 Growth Positions Company for Strong 2024
25. Januar 2024, Datanami

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

GridGain Unified Real-Time Data Platform Version 8.9 Addresses Today's More Complex Real-Time Data Processing ...
12. Oktober 2023, GlobeNewswire

GridGain Showcases Power of Apache Ignite at Community Over Code Conference
5. Oktober 2023, Datanami

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
31. Mai 2024, Microsoft

Update records in a Kusto Database (public preview) | Azure updates
20. Februar 2024, Microsoft

Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates
8. Januar 2024, Microsoft

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ...
5. Februar 2024, Microsoft

New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates
24. Januar 2024, Microsoft

bereitgestellt von Google News

Neo4j employs knowledge graphs as part of the AI stack
11. Juni 2024, SiliconANGLE News

Neo4j graph analytics integrated with Snowflake's AI cloud – Blocks and Files
7. Juni 2024, Blocks and Files

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English
26. März 2024, PR Newswire

Using Neo4j’s graph database for AI in Azure
4. April 2024, InfoWorld

Neo4j announces collaboration with Snowflake for advanced AI insights and predictive analytics – Intelligent CIO North ...
7. Juni 2024, intelligentcio.com

bereitgestellt von Google News

OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS
21. Januar 2022, Open Source For You

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20. September 2019, Towards Data Science

The 12 Best Graph Databases to Consider for 2024
22. Oktober 2023, Solutions Review

ArangoDB raises $10 million for NoSQL database management
14. März 2019, VentureBeat

Introducing Gremlin The Graph Database
14. August 2013, iProgrammer

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

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

Neo4j logo

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

Milvus logo

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

Präsentieren Sie hier Ihr Produkt