DBMS > MongoDB vs. Postgres-XL vs. PostgreSQL vs. SingleStore vs. TiDB
Vergleich der Systemeigenschaften MongoDB vs. Postgres-XL vs. PostgreSQL vs. SingleStore vs. TiDB
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Name | MongoDB Xaus Vergleich ausschliessen | Postgres-XL Xaus Vergleich ausschliessen | PostgreSQL Xaus Vergleich ausschliessen | SingleStore former name was MemSQL Xaus Vergleich ausschliessen | TiDB Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Einer der meistverwendeten Document Stores | Basiert auf PostgreSQL und ist um Clusterfähigkeiten (scale out) erweitert. | Weit verbreitetes, allgemein einsetzbares Open Source RDBMS Entwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitert | MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type | TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store | Relational DBMS | Relational DBMS mit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul. | Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Spatial DBMS Suchmaschine integrated Lucene index, currently in MongoDB Atlas only. Time Series DBMS Time Series Collections introduced in Release 5.0 Vektor DBMS currently available in the MongoDB Atlas cloud service only | Document Store Spatial DBMS | Document Store Graph DBMS with Apache Age Spatial DBMS Vektor DBMS with pgvector extension | Document Store Spatial DBMS Time Series DBMS Vektor DBMS | Document Store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.mongodb.com | www.postgres-xl.org | www.postgresql.org | www.singlestore.com | pingcap.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | www.mongodb.com/docs/manual | www.postgres-xl.org/documentation | www.postgresql.org/docs | docs.singlestore.com | docs.pingcap.com/tidb/stable | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | MongoDB, Inc | PostgreSQL Global Development Group www.postgresql.org/developer | SingleStore Inc. | PingCAP, Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2009 | 2014 seit 2012, ursprünglich genannt StormDB | 1989 1989: Postgres, 1996: PostgreSQL | 2013 | 2016 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 6.0.7, Juni 2023 | 10 R1, Oktober 2018 | 16.3, Mai 2024 | 8.5, Jänner 2024 | 8.1.0, Mai 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | Open Source Mozilla public license | Open Source BSD | kommerziell free developer edition available | Open Source Apache 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | nein MongoDB available as DBaaS (MongoDB Atlas) | nein | nein | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities | TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementierungssprache | C++ | C | C | C++, Go | Go, Rust | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | Linux OS X Solaris Windows | Linux macOS | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux 64 bit version required | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei Obwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja string, integer, double, decimal, boolean, date, object_id, geospatial | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | ja XML type, but no XML query functionality | ja specific XML-type available, but no XML query functionality. | nein | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja | ja | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | Read-only SQL queries via the MongoDB Atlas SQL Interface | ja distributed, parallel query execution | ja Standard mit zahlreichen Erweiterungen | yes but no triggers and foreign keys | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | GraphQL HTTP REST Prisma Proprietäres Protokoll basierend auf JSON | ADO.NET JDBC native C library ODBC streaming API for large objects | ADO.NET JDBC native C library ODBC streaming API for large objects | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | GORM JDBC ODBC Proprietäres Protokoll SQLAlchemy | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | Actionscript inoffizielle Driver C C# C++ Clojure inoffizielle Driver ColdFusion inoffizielle Driver D inoffizielle Driver Dart inoffizielle Driver Delphi inoffizielle Driver Erlang Go Groovy inoffizielle Driver Haskell Java JavaScript Kotlin Lisp inoffizielle Driver Lua inoffizielle Driver MatLab inoffizielle Driver Perl PHP PowerShell inoffizielle Driver Prolog inoffizielle Driver Python R inoffizielle Driver Ruby Rust Scala Smalltalk inoffizielle Driver Swift | .Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | Bash C C# Java JavaScript (Node.js) Python | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | JavaScript | benutzerdefinierte Funktionen | benutzerdefinierte Funktionen realisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.) | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | ja in MongoDB Atlas only | ja | ja | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | horizontale Partitionierung | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding hash partitioning | horizontal partitioning (by key range) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Multi-Source deployments with MongoDB Atlas Global Clusters Source-Replica Replikation | Source-Replica Replikation andere Varianten durch Verwendung von 3rd party - tools | Source-Replica Replikation stores two copies of each physical data partition on two separate nodes | Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | ja | nein | nein | nein can define user-defined aggregate functions for map-reduce-style calculations | ja with TiSpark Connector | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein Normalerweise nicht gebraucht, abgeschwächte Variante mit DBRef | ja | ja | nein | ja full support since version 6.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | Multi-document ACID Transactions with snapshot isolation | ACID MVCC | ACID | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja | yes, multi-version concurrency control (MVCC) | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja optional, enabled by default | ja | ja | ja All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log. | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja In-memory storage engine introduced with MongoDB version 3.2 | nein | nein | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Zugriffsrechte für Benutzer und Rollen | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard | Fine grained access control via users, groups and roles | Fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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MongoDB | Postgres-XL | PostgreSQL | SingleStore former name was MemSQL | TiDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MongoDB provides an integrated suite of cloud database and data services to accelerate... » mehr | SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed... » mehr | TiDB is an advanced open-source, distributed SQL database for modern application... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Built around the flexible document data model and unified API, MongoDB is a developer... » mehr | SingleStore’s competitive advantages include: Easy and Simplified Architecture with... » mehr | - HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » mehr | Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting... » mehr | TiDB is ideal for transactional applications that require extreme scalability and... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » mehr | IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,... » mehr | Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » mehr | Customers in various industries worldwide including US and International Industry... » mehr | 34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » mehr | F ree Tier and Enterprise Edition » mehr | TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Drittanbieter | Studio 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 | Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
» mehr Redgate webinars: A series of key topics for new PostgreSQL users. » mehr SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more. » mehr CYBERTEC is your professional partner in PostgreSQL topics for over 20 years. As our main aim is to be your single-source all-in-one IT service provider, we offer a wide range of products and services. Visit our website for more details. » mehr Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development. » mehr pgDash: In-Depth PostgreSQL Monitoring. » mehr Instaclustr: Fully Hosted & Managed PostgreSQL » mehr Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance. » mehr Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems. » mehr Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools. » mehr | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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MongoDB | Postgres-XL | PostgreSQL | SingleStore former name was MemSQL | TiDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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