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 > ClickHouse vs. Google Cloud Bigtable vs. MongoDB vs. SwayDB vs. Tigris

Vergleich der Systemeigenschaften ClickHouse vs. Google Cloud Bigtable vs. MongoDB vs. SwayDB vs. Tigris

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessenTigris  Xaus Vergleich ausschliessen
KurzbeschreibungA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Einer der meistverwendeten Document StoresAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primäres DatenbankmodellRelational DBMSKey-Value Store
Wide Column Store
Document StoreKey-Value StoreDocument Store
Key-Value Store
Suchmaschine
Time Series DBMS
Sekundäre DatenbankmodelleTime Series DBMSSpatial 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte3,15
Rang#95  Overall
#14  Key-Value Stores
#8  Wide Column Stores
Punkte421,08
Rang#5  Overall
#1  Document Stores
Punkte0,04
Rang#387  Overall
#61  Key-Value Stores
Punkte0,09
Rang#363  Overall
#49  Document Stores
#54  Key-Value Stores
#22  Suchmaschinen
#38  Time Series DBMS
Websiteclickhouse.comcloud.google.com/­bigtablewww.mongodb.comswaydb.simer.auwww.tigrisdata.com
Technische Dokumentationclickhouse.com/­docscloud.google.com/­bigtable/­docswww.mongodb.com/­docs/­manualwww.tigrisdata.com/­docs
EntwicklerClickhouse Inc.GoogleMongoDB, IncSimer PlahaTigris Data, Inc.
Erscheinungsjahr20162015200920182022
Aktuelle Versionv24.4.1.2088-stable, Mai 20246.0.7, Juni 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen 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 infoGNU Affero GPL V3.0Open Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)neinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • 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.
ImplementierungsspracheC++C++Scala
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Datenschemajaschemafreischemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Strukturschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja infostring, integer, double, decimal, boolean, date, object_id, geospatialneinja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesyesneinjaneinja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinRead-only SQL queries via the MongoDB Atlas SQL Interfaceneinnein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
CLI Client
gRPC
RESTful HTTP API
Unterstützte ProgrammiersprachenC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C#
C++
Go
Java
JavaScript (Node.js)
Python
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
Java
Kotlin
Scala
Go
Java
JavaScript (Node.js)
Server-seitige Scripts infoStored ProceduresjaneinJavaScriptneinnein
Triggersneinneinja infoin MongoDB Atlas onlyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.keineSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
keineja
MapReduce infoBietet ein API für Map/Reduce Operationenneinjajanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinAtomic single-row operationsMulti-document ACID Transactions with snapshot isolationAtomic execution of operationsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infooptional, enabled by defaultjayes, using FoundationDB
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
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Zugriffsrechte für Benutzer und RollenneinAccess rights for users and roles
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseGoogle Cloud BigtableMongoDBSwayDBTigris
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» mehr
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» mehr

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

Studio 3T: The world's favorite IDE for working with MongoDB
» mehr

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

Weitere Ressourcen
ClickHouseGoogle Cloud BigtableMongoDBSwayDBTigris
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

Intel Xeon 6766E/6780E Sierra Forest vs. Ampere Altra Performance & Power Efficiency Review
5. Juni 2024, Phoronix

Why Clickhouse Should Be Your Next Database
6. Juli 2023, The New Stack

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ...
28. November 2023, AWS Blog

A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
1. November 2023, GrowthCap

From Open Source to SaaS: the Journey of ClickHouse
16. Januar 2024, InfoQ.com

bereitgestellt von Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1. März 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31. Januar 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27. Januar 2022, TechTarget

Review: Google Bigtable scales with ease
7. September 2016, InfoWorld

Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database
6. Mai 2015, TechCrunch

bereitgestellt von Google News

CE 100 Index Slips 1.1% as MongoDB Shares Slide After Earnings
3. Juni 2024, PYMNTS.com

Why MongoDB Plunged Over 35% in May
5. Juni 2024, The Motley Fool

Looking Into MongoDB's Recent Short Interest - MongoDB (NASDAQ:MDB)
4. Juni 2024, Benzinga

MongoDB shares sink 23% after management trims guidance
30. Mai 2024, CNBC

MongoDB, Inc. Announces First Quarter Fiscal 2025 Financial Results
30. Mai 2024, PR Newswire

bereitgestellt von Google News

Tigris Data Unveils Beta Launch of New Vector Search Tool
19. Mai 2023, Datanami

Tigris Data Launches All-in-One Developer Data Platform
27. September 2022, Datanami

FerretDB Provides Alternative to MongoDB
19. Mai 2023, Datanami

Latest Asigra platform targets SaaS backup for MSPs
6. März 2023, TechTarget

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.

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