DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > GBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MongoDB vs. ScyllaDB

Vergleich der Systemeigenschaften GBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. MongoDB vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridFully managed big data interactive analytics platformEiner der meistverwendeten Document StoresCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellRelational DBMSKey-Value StoreRelational DBMS infocolumn orientedDocument StoreWide Column Store
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Spatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vektor DBMS infocurrently available in the MongoDB Atlas cloud service only
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte421,65
Rang#5  Overall
#1  Document Stores
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websitewww.gbase.cnhazelcast.comazure.microsoft.com/­services/­data-explorerwww.mongodb.comwww.scylladb.com
Technische Dokumentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.mongodb.com/­docs/­manualdocs.scylladb.com
EntwicklerGeneral Data Technology Co., Ltd.HazelcastMicrosoftMongoDB, IncScyllaDB
Erscheinungsjahr20042008201920092015
Aktuelle VersionGBase 8a, GBase 8s, GBase 8c5.3.6, November 2023cloud service with continuous releases6.0.7, Juni 2023ScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)nein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheC, Java, PythonJavaC++C++
Server BetriebssystemeLinuxAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Solaris
Windows
Linux
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Strukturschemafrei
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-typesja infostring, integer, double, decimal, boolean, date, object_id, geospatialja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaja infothe object must implement a serialization strategyjanein
Sekundärindizesjajaall fields are automatically indexedjaja infocluster global secondary indices
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query languageKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzepteADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte ProgrammiersprachenC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Kotlin
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Rust
Scala
Smalltalk infoinoffizielle Driver
Swift
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-seitige Scripts infoStored Proceduresuser defined functionsja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, RJavaScriptyes, Lua
Triggersjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoin MongoDB Atlas onlynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDone or two-phase-commit; repeatable reads; read commitedneinMulti-document ACID Transactions with snapshot isolationnein infoAtomicity and isolation are supported for single operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infooptional, enabled by defaultja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoIn-memory storage engine introduced with MongoDB version 3.2ja infoin-memory tables
Berechtigungskonzept infoZugriffskontrollejaRole-based access controlAzure Active Directory AuthenticationZugriffsrechte für Benutzer und RollenAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
GBaseHazelcastMicrosoft Azure Data ExplorerMongoDBScyllaDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» mehr
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
ScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» 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
DrittanbieterStudio 3T: The world's favorite IDE for working with MongoDB
» mehr

CData: Connect to Big Data & NoSQL through standard Drivers.
» mehr

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» mehr

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

Weitere Ressourcen
GBaseHazelcastMicrosoft Azure Data ExplorerMongoDBScyllaDB
DB-Engines Blog Posts

Snowflake is the DBMS of the Year 2021
3. Januar 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4. Januar 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2. Januar 2019, Paul Andlinger, Matthias Gelbmann

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Hazelcast Weaves Wider Logic Threads Through The Data Fabric
7. März 2024, Forbes

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17. April 2024, VentureBeat

Hazelcast Achieves Record Year with Leading Brands Choosing Its Platform for Application Modernization, AI Initiatives
22. Februar 2024, Datanami

Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars
7. November 2023, Finovate

In-Memory Data Grids Market Size In Stowage Bins Segment Is Expected To Exhibit Significant Growth Over 2030 | IBM ...
3. Mai 2024, openPR

bereitgestellt von Google News

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, Microsoft

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

General availability: New KQL function to enrich your data analysis with geographic context | Azure updates
6. Juni 2023, Microsoft

Azure Data Explorer and Stream Analytics for anomaly detection
16. Januar 2020, Microsoft

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

bereitgestellt von Google News

MongoDB Atlas Vector Search integration now GA with Amazon Bedrock
2. Mai 2024, VentureBeat

Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ...
2. Mai 2024, AWS Blog

MongoDB aims to jumpstart AI app development with MAAP
1. Mai 2024, InfoWorld

What the Options Market Tells Us About MongoDB - MongoDB (NASDAQ:MDB)
3. Mai 2024, Benzinga

Redefining generative AI: Fireworks AI and MongoDB's collab
3. Mai 2024, SiliconANGLE News

bereitgestellt von Google News

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26. April 2024, InfoQ.com

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services
6. Januar 2023, AWS Blog

Scylla Eyes Cassandra's NoSQL Workloads
13. Februar 2018, Datanami

ScyllaDB Database Review | eWeek
21. August 2018, eWeek

Scylla vs Cassandra: Performance Comparison - DataScienceCentral.com
9. Januar 2020, Data Science Central

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Neo4j logo

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

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

RaimaDB logo

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

Milvus logo

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

Präsentieren Sie hier Ihr Produkt