Sold by: TurnKey GNU/Linux
The TurnKey MongoDB container helps save you time and money by providing a powerful and scalable, yet light-weight, ready-to-run MongoDB container that is secure, supported and easy to work with. The container is built on proven open source technologies and is free of hidden backdoors.
Sold by: TurnKey GNU/Linux
Overview
The TurnKey MongoDB container helps save you time and money by providing a powerful and scalable, yet light-weight, ready-to-run MongoDB container that is secure, supported and easy to work with. The container is built on proven open source technologies and is free of hidden backdoors. TurnKey containers and container stacks lighten your load and allow you to focus on what really matters.
MongoDB is a scalable, high-performance document-oriented NoSQL database system. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores data in flexible, JSON-like documents. The MongoDB document model maps to the objects in your application code, making data easy to work with. Ad hoc queries, indexing, and real time aggregation provide powerful ways to access and analyze your data. MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use.
Highlights
- Secure and easy to use; bundled support for no extra charge. Built on a super slim Debian GNU/Linux base.
- Scalable and powerful. Free from hidden backdoors and vendor lock-in; bought to you by a company specializing in global open source solutions.
Details
Sold by
Delivery method
Delivery option
TurnKey – MongoDB – standalone
Latest version
Operating system
Linux
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.01 |
Vendor refund policy
Cancel anytime to stop charges. Refunds are at the discretion of TurnKey GNU/Linux. Please get in touch to request a refund.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
TurnKey – MongoDB – standalone
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release
Additional details
Usage instructions
Launch this set of containers using the provided task definition. More documentation can be found at https://www.turnkeylinux.org/awsmp-containers/mongodb
Resources
Vendor resources
Support
Vendor support
When contacting suppoort, please provide your AWS account ID and email, plus note that you are using ECS containers. Expected response time is one business day. support@turnkeylinux.org
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Atakan Steven B.
Efficient use of NoSQL!
Reviewed on Aug 19, 2024
Review provided by G2
What do you like best about the product?
Apart from many other NoSQls on the market, MongoDB also stands out with its speed and efficient indexing method. Also being integrated with MongoDB Compass makes it easy to play around with the data.
What do you dislike about the product?
MongoDB is good for proffesional work but MongoDB Compass interface can be sometimes hard to use.
What problems is the product solving and how is that benefiting you?
As the nature of NoSQL, handling data in our projects, creating schemas are good for our usecases.
Leave a comment0 comments
Onkar D.
Connection smoother
Reviewed on Aug 12, 2024
Review provided by G2
What do you like best about the product?
Easy to connect
Query understanding is easy
Query understanding is easy
What do you dislike about the product?
lack of query functions as compare to SQL
What problems is the product solving and how is that benefiting you?
No SQL
Denis S.
Among the best database solutions out there, and it's really useful
Reviewed on Aug 06, 2024
Review provided by G2
What do you like best about the product?
Our application development and data analysis initiatives have relied heavily on MongoDB, a highly scalable and versatile NoSQL database, for its ability to efficiently manage unstructured and semi-structured data. The database provides a feature called indexing, which assigns a unique ID to each row. I've found this to be very helpful in today's world, where web services process massive amounts of data and better storage and resource utilization is essential; in addition, its aggregation capabilities allow me to perform complicated, resource-intensive queries at lightning speed.
What do you dislike about the product?
Starting and writing aggregations in MongoDB can be challenging without a good tool to guide you. You'll also need a basic understanding of databases and SQL queries to understand the concepts.
What problems is the product solving and how is that benefiting you?
The horizontal scalability of MongoDB was a key factor in our decision to use this technology, and I must say that I have made great use of this tool. Our database scaled effortlessly, allowing us to add nodes to our cluster without sacrificing speed, which has been great for our data storage needs. As a result, we can now manage dramatically higher data volumes and workloads without sacrificing performance. It has allowed us to automate the turnaround time in our development department, which has greatly improved the feasibility of projects.
Electrical/Electronic Manufacturing
MongoDB
Reviewed on Jul 22, 2024
Review provided by G2
What do you like best about the product?
One thing is that its a NOSQL database, meaning no schema required. Also, main thing i liked in mongodb is simplicity. We can define our data through objects (like document format or the json format). Interface of mongodb is calm and greenish making it very easier to create, edit and deliver the data. Also, there is this thing called "sharding" which i learnt in my studies, what happens is the high amount of data can be shared across multiple servers. This was the coolest thing i got to learn.
What do you dislike about the product?
Well. dislikes about mongodb, is linked to the disadvantages of nosql itself. Not particularly the mongodb, as the nosql doesnot require any schema to be defined. so in my personal experience, i used to get frustated when i noticed many object data got messed up. As i switched from sql. the table format habit was printed in my mind for months, took some while to understand the hierarchy of data being created in the nosql format or rather json format in mongodb (might say complex nodes affect the data).
What problems is the product solving and how is that benefiting you?
So i was working on a project where we needed to show updates on the app as soon as they happened. It was important because our app had to stay current with new info all the time. So we picked mongodb as our database. Also when more users had to use the app, we could add more mongodb servers easily without any crashing or slowing the app down. Obviously its a database, it helped to store large amounts of data organized in this json format. If you are working on a real time project that needs to show updates quicker, mongodb is a great choice!
MD EHTASHAAM K.
Future of Databases: A Critical Review of MongoDB
Reviewed on Jul 16, 2024
Review provided by G2
What do you like best about the product?
What I like best about MongoDB is its flexibility. Most of the database require fixed schema bt MongoDb allows you to store data in a more dynamic way and document based format. This document based structure is very straightforward and very easy to use even for the newcomers. It is very flexible.
Also setting up MongoDB is quick and it integrates very easily with other platforms.
MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries.
Also setting up MongoDB is quick and it integrates very easily with other platforms.
MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries.
What do you dislike about the product?
However MongoDb is less efficient for complex queries and transactions than traditional databases. Also while handling lare datasets it require very large memory and storage which can be costly.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy.
What problems is the product solving and how is that benefiting you?
MongoDB solves several problems related to data management. Earlier traditional databases required a fixed schema which made difficult to handle large data. MongoDb allows flexible schema which allows us to easily change data models without much downtime.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.