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MongoDB VS AWS Storage Gateway

Compare MongoDB VS AWS Storage Gateway and see what are their differences

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MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

AWS Storage Gateway logo AWS Storage Gateway

AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • AWS Storage Gateway Landing page
    Landing page //
    2023-04-11

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

AWS Storage Gateway features and specs

  • Hybrid Cloud Capabilities
    AWS Storage Gateway allows seamless integration between on-premises storage and AWS cloud, ensuring a smooth transition and hybrid cloud operations without disrupting existing workflows.
  • Backup and Disaster Recovery
    The service provides robust options for backing up and archiving data to S3, Glacier, and other AWS storage solutions, enhancing data protection and disaster recovery capabilities.
  • Scalability
    AWS Storage Gateway leverages the scalable nature of AWS cloud storage, enabling businesses to scale their storage needs up or down with ease, based on demand.
  • Cost Efficiency
    By offloading storage to AWS, organizations can reduce the need for expensive on-premises storage infrastructure, paying only for the storage they use.
  • Data Security and Compliance
    AWS provides strong security measures, including encryption at rest and in transit, as well as compliance with several industry standards, which helps businesses meet regulatory requirements.
  • Improved Data Management
    The integration with AWS services allows for enhanced data management and analytics capabilities, facilitating better data insights and business intelligence.

Possible disadvantages of AWS Storage Gateway

  • Dependency on Internet Connectivity
    Since AWS Storage Gateway relies on internet connectivity for data transfer to AWS cloud, any network downtime can disrupt access to data.
  • Upfront Learning Curve
    Implementing and managing AWS Storage Gateway may require a learning curve for IT staff, especially those who are not familiar with AWS services.
  • Ongoing Costs
    While AWS Storage Gateway can reduce on-premises infrastructure costs, there are ongoing cloud storage and data transfer fees which can accumulate over time.
  • Data Transfer Latency
    Transferring large amounts of data over the internet to AWS cloud storage can introduce latency, which might not be ideal for applications requiring real-time data access.
  • Potential Vendor Lock-in
    Relying heavily on AWS services may lead to vendor lock-in, making it challenging to switch providers or migrate workloads in the future.

Analysis of MongoDB

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

AWS Storage Gateway videos

+ Add

Cloud Storage in Minutes with AWS Storage Gateway

More videos:

  • Tutorial - What is AWS Storage Gateway | Cloud Storage Gateway Tutorial
  • Demo - AWS Storage Gateway Demo

Category Popularity

0-100% (relative to MongoDB and AWS Storage Gateway)

MongoDB

AWS Storage Gateway

Databases
100 100%
Databases
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MongoDB and AWS Storage Gateway

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

AWS Storage Gateway Reviews

We have no reviews of AWS Storage Gateway yet.
Be the first one to post

Social recommendations and mentions

Based on our record, MongoDB should be more popular than AWS Storage Gateway. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 3 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 9 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 9 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
View more

AWS Storage Gateway mentions (7)

  • Best way to use ftp(s) to s3 for document upload?
    Could Storage Gateway help here? EC2 fronts the FTP endpoint to a file server that is Storage Gateway? Source: over 2 years ago
  • Allow S3 files to be accessed from an on-prem app
    One option is https://aws.amazon.com/storagegateway/ (plus VPN). Source: almost 3 years ago
  • self hosted s3 server?
    That helps, thank you. You might have a look at AWS' Storage Gateway, more specifically the S3 File Gateway. Source: almost 3 years ago
  • Are there tools or service that provide near realtime file sync to s3
    I *think* storage gateway can do this (https://aws.amazon.com/storagegateway/). Also, several of the Amazon FSx services can, I think. They all basically mean you have a remote file system to which you write, and that file system gets backed up to FSx. Source: almost 3 years ago
  • Best way to approach scheduling a call to move data (csv) from my ERP system to S3?
    You can deploy Storage gateway in your local environment, and copy the files to storage gateway, it will automatically sync the files to s3. Source: over 3 years ago
View more

What are some alternatives?

When comparing MongoDB and AWS Storage Gateway, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

VMware vSAN - VMware vSAN is radically simple, enterprise-class software-defined storage powering VMware hyper-converged infrastructure. 

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Azure Storage Explorer - Easily manage your Azure storage accounts in the cloud, from Windows, macOS, or Linux, using Azure Storage Explorer.

MySQL - The world's most popular open source database

Zadara Storage - Enterprise Storage-as-a-Service Solutions (STaaS). On premises or in the cloud. Fully-managed 24/7. Pay only for what you use. Leading companies worldwide trust Zadara Data Storage. Proud to be the best cloud storage option

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