DBMS > Google Cloud Firestore vs. InfluxDB vs. MongoDB vs. OceanBase vs. SingleStore
Vergleich der Systemeigenschaften Google Cloud Firestore vs. InfluxDB vs. MongoDB vs. OceanBase vs. SingleStore
Redaktionelle Informationen bereitgestellt von DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | Google Cloud Firestore Xaus Vergleich ausschliessen | InfluxDB Xaus Vergleich ausschliessen | MongoDB Xaus Vergleich ausschliessen | OceanBase Xaus Vergleich ausschliessen | SingleStore former name was MemSQL Xaus Vergleich ausschliessen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kurzbeschreibung | Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products. | DBMS for storing time series, events and metrics | Einer der meistverwendeten Document Stores | A distributed, high available RDBMS compatible with Oracle and MySQL | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primäres Datenbankmodell | Document Store | Time Series DBMS | Document Store | Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundäre Datenbankmodelle | Spatial DBMS with GEO package | 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 Wide Column Store | Document Store Spatial DBMS Time Series DBMS Vektor DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | firebase.google.com/products/firestore | www.influxdata.com/products/influxdb-overview | www.mongodb.com | en.oceanbase.com | www.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technische Dokumentation | firebase.google.com/docs/firestore | docs.influxdata.com/influxdb | www.mongodb.com/docs/manual | en.oceanbase.com/docs/oceanbase-database | docs.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Entwickler | MongoDB, Inc | OceanBase previously Alibaba and Ant Group | SingleStore Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Erscheinungsjahr | 2017 | 2013 | 2009 | 2010 | 2013 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aktuelle Version | 2.7.6, April 2024 | 6.0.7, Juni 2023 | 4.3.0, April 2024 | 8.5, Jänner 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Lizenz Commercial or Open Source | kommerziell | Open Source MIT-License; commercial enterprise version available | 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 Commercial license available | kommerziell free developer edition available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ausschließlich ein Cloud-Service Nur als Cloud-Service verfügbar | ja | nein | nein MongoDB available as DBaaS (MongoDB Atlas) | nein | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS Angebote (gesponserte Links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementierungssprache | Go | C++ | C++ | C++, Go | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server Betriebssysteme | gehostet | Linux OS X through Homebrew | Linux OS X Solaris Windows | Linux | Linux 64 bit version required | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Datenschema | schemafrei | schemafrei | schemafrei Obwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typisierung vordefinierte Datentypen, z.B. float oder date | ja | Numeric data and Strings | ja string, integer, double, decimal, boolean, date, object_id, geospatial | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML Unterstützung Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT | nein | nein | ja | nein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sekundärindizes | ja | nein | ja | ja | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | nein | SQL-like query language | Read-only SQL queries via the MongoDB Atlas SQL Interface | ja | yes but no triggers and foreign keys | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs und andere Zugriffskonzepte | Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API | HTTP API JSON over UDP | GraphQL HTTP REST Prisma Proprietäres Protokoll basierend auf JSON | JDBC ODBC ODP.NET Oracle Call Interface (OCI) Proprietäres native API Table API | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Unterstützte Programmiersprachen | Go Java JavaScript JavaScript (Node.js) Objective-C Python | .Net Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Perl PHP Python R Ruby Rust Scala | 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 | Ada in MySQL-compatible model C in Oracle- and MySQL- compatible models C++ in Oracle- and MySQL- compatible models D in MySQL-compatible model Delphi in MySQL-compatible model Eiffel in MySQL-compatible model Erlang in MySQL-compatible model Haskell in MySQL-compatible model Java in Oracle- and MySQL- compatible models JavaScript (Node.js) in MySQL-compatible model Objective-C in MySQL-compatible model OCaml in MySQL-compatible model Perl in MySQL-compatible model PHP in MySQL-compatible model Python in MySQL-compatible model Ruby in MySQL-compatible model Scheme in MySQL-compatible model Tcl in MySQL-compatible model | Bash C C# Java JavaScript (Node.js) Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-seitige Scripts Stored Procedures | yes, Firebase Rules & Cloud Functions | nein | JavaScript | PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes, with Cloud Functions | nein | ja in MongoDB Atlas only | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitionierungsmechanismen Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten | Sharding | Sharding in enterprise version only | 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. | horizontal partitioning (by hash, key, range, range columns, list, and list columns) | Sharding hash partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replikationsmechanismen Methoden zum redundanten Speichern von Daten auf mehreren Knoten | Multi-Source Replikation | frei wählbarer Replikationsfaktor in enterprise version only | Multi-Source deployments with MongoDB Atlas Global Clusters Source-Replica Replikation | Multi-source replication using Paxos | Source-Replica Replikation stores two copies of each physical data partition on two separate nodes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Bietet ein API für Map/Reduce Operationen | Using Cloud Dataflow | nein | ja | nein | nein can define user-defined aggregate functions for map-reduce-style calculations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Konsistenzkonzept Methoden zur Sicherstellung der Konsistenz in einem verteilten System | Immediate Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fremdschlüssel referenzielle Integrität | nein | nein | nein Normalerweise nicht gebraucht, abgeschwächte Variante mit DBRef | ja | nein | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaktionskonzept Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen | ja | nein | Multi-document ACID Transactions with snapshot isolation | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Unterstützung von gleichzeitig ausgeführten Datenmanipulationen | ja | ja | ja | ja | yes, multi-version concurrency control (MVCC) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Dauerhafte Speicherung der Daten | ja | ja | ja optional, enabled by default | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten | ja Depending on used storage engine | ja In-memory storage engine introduced with MongoDB version 3.2 | ja | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Berechtigungskonzept Zugriffskontrolle | Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth. | Einfache Rechteverwaltung mit Benutzeraccounts | Zugriffsrechte für Benutzer und Rollen | Access rights for users, groups and roles according to SQL-standard | Fine grained access control via users, groups and roles | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weitere Informationen bereitgestellt vom Systemhersteller | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Google Cloud Firestore | InfluxDB | MongoDB | OceanBase | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | InfluxData is the creator of InfluxDB , the open source time series database. It... » mehr | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Time to Value InfluxDB is available in all the popular languages and frameworks,... » mehr | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available... » mehr | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » mehr | Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | InfluxData has more than 1,900 paying customers, including customers include MuleSoft,... » mehr | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances » mehr | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » mehr | Customers in various industries worldwide including US and International Industry... » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Open source core with closed source clustering available either on-premise or on... » mehr | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » mehr | F ree Tier and Enterprise Edition » mehr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Neuigkeiten | Monitoring Your Cloud Environments and Applications with InfluxDB Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS Using Parquet’s Bloom Filters Efficiency Unleashed: Streamlining Workflows with the InfluxDB Management API What is DevRel at InfluxData | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Zugehörige Produkte und Dienstleistungen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weitere Ressourcen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Google Cloud Firestore | InfluxDB | MongoDB | OceanBase | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines Blog Posts | Cloud-based DBMS's popularity grows at high rates | Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems Realtime vs Cloud Firestore: Which Firebase Database to go? Google's AI-First Strategy Brings Vector Support To Cloud Databases Google launches Cloud Firestore, a new document database for app developers Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available Firestore and Python | NoSQL on Google Cloud bereitgestellt von Google News Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World Amazon Timestream: Managed InfluxDB for Time Series Data How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB bereitgestellt von Google News Analysts retool MongoDB stock price target after earnings Why MongoDB Stock Plunged Today MongoDB loses nearly a quarter of its value after adjusting revenue forecasts MongoDB shares sink 23% after management trims guidance Why MongoDB Stock Plunged Today bereitgestellt von Google News OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements Ant Group Will Cut Foreign Investors Out of Fast-Growing Database Business Daily Tech Roundup: Ant Group Kicks Off Restructuring How Southeast Asia's Leading e-Wallets Saved Up to 40% in Database Costs - Fintech Singapore Alibaba's OceanBase distributed database aims at markets outside China bereitgestellt von Google News Building a Modern Database: Nikita Shamgunov on Postgres and Beyond SingleStore CEO sees little future for purpose-built vector databases SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development SingleStore update adds new tools to fuel GenAI, analytics SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files bereitgestellt von Google News |
Teilen sie diese Seite mit ihrem Netzwerk