Wer nutzt diese Software?
MongoDB dient sowohl Startups als auch branchenführenden Unternehmen, von Fortune 500 bis hin zu öffentlichen Behörden.
Durchschnittliche Bewertung265 Bewertungen
- Gesamt 4.6/5
- Benutzerfreundlichkeit 4.4/5
- Kundenservice 4.3/5
- Funktionen 4.5/5
- Preis-Leistungs-Verhältnis 4.6/5
- Kostenlose Version Ja
- Gratis Testen Ja
Installiert - Mac
Cloud, SaaS, Web
Installiert - Windows
24/7 (Live Vertreter)
Angaben zum Hersteller
Wir bieten das Beste der traditionellen Datenbanken, als auch die Flexibilität, Umfang und Leistung, die von den heutigen Anwendungen erwartet wird, und lassen Innovatoren Apps bereitstellen – die so unglaublich sind, wie sie nur von träumen können. Von Startups bis hin zu Unternehmen, für die modernen und die unternehmenskritischen, ist MongoDB die Datenbank für Riesenideen. Weitere Informationen findest du unter www.mongodb.com.
Die hilfreichsten Reviews für MongoDB
Bewertet am 9.2.2019
MongoDB is the NoSQL leader and getting better
Kommentare: The first decision about whether to use MongoDB or not is whether you need a relational or non-relational DB. Once you decide a non-relational is best for you project, then MongoDB is a solid choice. It has the ongoing support of a professional team and is widely used in the market, especially for projects utilizing the MEAN stack. This makes it easier to deploy than other solutions.
Vorteile: MongoDB is incredibly easy to set up and use. The fact that non-relational DBs are better for more unstructured data, makes it so that you don't necessarily have to know exactly what the end state is going to be before building your schema. Its data throughput is also a key differentiator, so anything with Big Data is going to be a good fit for a non-relational DB and MongoDB, in particular. Finally, the team behind MongoDB is constantly improving the product and releasing updates, and there are several good data viewers in the market, including one from Mongo, for viewing the data and creating queries.
Nachteile: Creating metrics dashboards can be challenging due to the potential need for JOIN queries in your data. Anything that contains these will be harder to aggregate. Their aggregation framework can be hard to use and limiting for certain requirements.
Bewertet am 28.11.2019
One of the best NoSQL alternatives to traditional row/column RDBMSs
Kommentare: While my company uses the Microsoft stack (.NET/IIS/SQL Server) for our enterprise development, we use a MERN (MongoDb, Express.js, React and Node.js) stack for most of our internal development (Intranet, sales reporting, ETL, automation, etc.). MongoDb is a key part of the flexibility of this stack, allowing us to model dynamic and complex data very quickly -- a huge advantage working in an agile development environment with short dev cycles and heavy reliance on iteration/refactoring.
Vorteile: Being a NoSQL, document-based database, MongoDb allows me to think about data NOT in terms of rows, columns, tables and keys, but in terms of complex hierarchical JSON-like documents that very closely resemble how the data is presented and used. This is incredibly valuable when quickly stubbing out a new app's feature set and the data requirements for it, with the added advantage that MongoDb works seemlessly within a MEAN/MERN development framework. Also, the learning curve is greatly shortened by MongoDb University, which is a free set of training courses taught by MongoDb, Inc., Engineers. It's an amazing free resource for the neophyte Mongo developer.
Nachteile: Because MongoDb doesn't have a schema, deeply nested objects can become needlessly complex if the developer doesn't have a strong understanding of hit/her data. Queries requiring joins of complex object structures can be slow in non-optimized, under-powered environments.
Bewertet am 30.10.2019
Kommentare: Overall it is a good choice for handling unstructured data with the ease.
Vorteile: MongoDB is not a RDMS database( i.e NoSQL Database) which helps to store any kind of unstructured data. Fault tolerant fail over and sharding databases makes easy to handle large amount of data without any data loss. MongoDB Driver is available for all popular languages and it works greatly with Big Data. we can retrieve output as JSON , which makes the data more readable. There is no need for writing complex queries like RDBMS and it is very easy to install.
Nachteile: Difficult to retrieve data from the combination of more than one collections. Free version offers only limited memory to handle data.
Bewertet am 7.11.2017
Mongo allows you to take off easily, but makes it harder to do more advanced analysis.
-Getting simple data in/out is painless & straightforward
-Basic analytics are easy, as is managing multi-server clusters
-Working with complex data is a difficult.
-Many original features or design choices were incorrect and slow to be corrected. For example, timezone support is minimal and days/dates/months use a custom numbering rather than ISO. Mongo is only now adding ISO versions of aggregation commands
Bewertet am 9.1.2020
It excels at what it does... as long as you understand what that is
Kommentare: There are a lot of non-relational database options out there. These bring a ton of different advantages/disadvantages to the table. It really does feel like most alternatives are offering only part of the MongoDB feature-set. With major cloud providers now offering MongoDB as a managed service, this is a huge victory for them since management is the biggest downside to the product.
Vorteile: Mongo sets the bar for features when it comes to non-relational databases. From clustering to full-text indexing to geospatial indexes, its extremely hard to beat what MongoDB offers. It's easy to use from a developer perspective and easy to load and query data.
Nachteile: The operations side of Mongo can be a completely different story. It's really hard to configure clusters and even harder to recover from failures. The payoff is worth it because the feature-set is second to none.