Software Alternatives, Accelerators & Startups

Apache Traffic Server VS MongoDB

Compare Apache Traffic Server VS MongoDB and see what are their differences

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Apache Traffic Server logo Apache Traffic Server

Fast, scalable and extensible HTTP/S 2 and 1.1 compliant caching proxy server.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Apache Traffic Server Landing page
    Landing page //
    2018-09-29
  • MongoDB Landing page
    Landing page //
    2023-10-21

Apache Traffic Server features and specs

  • High Performance
    Apache Traffic Server is designed for high-speed caching and can handle large volumes of traffic efficiently. Its architecture allows it to serve requests with low latency, making it suitable for high-traffic websites and applications.
  • Scalability
    It offers robust scalability features, allowing it to manage multiple terabytes of data and scale up to handle many clients simultaneously, which is beneficial for growing businesses and expanding infrastructure.
  • Extensibility
    Traffic Server supports plugins and extensions, enabling developers to customize and extend its functionality to suit specific needs, which adds flexibility for unique requirements.
  • Open Source
    Being an open-source project, Apache Traffic Server offers a free solution with a strong community support, allowing users to collaborate and contribute to its development and troubleshoot issues.
  • SSL Termination
    It provides the capability to handle SSL termination, which offloads the burden from backend servers, improving overall security and performance for HTTPS traffic.

Possible disadvantages of Apache Traffic Server

  • Complex Configuration
    The configuration of Apache Traffic Server can be complex, especially for beginners, which might require a steep learning curve and extensive documentation reading or seeking community help.
  • Limited Windows Support
    Traffic Server is primarily developed for Unix-based systems and has limited support for Windows, which can be a limitation for organizations that primarily operate in a Windows environment.
  • Community Support
    While it benefits from open-source community support, it may not have the same level of professional support or comprehensive documentation as some commercial alternatives, potentially leading to slower resolution of issues.
  • Resource Intensive
    When handling large amounts of traffic, Apache Traffic Server can become resource-intensive, which may necessitate higher hardware investments to maintain optimal performance.

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.

Apache Traffic Server videos

Transparent HTTP proxying with Apache Traffic Server

More videos:

  • Review - Yahoo's Adventure with Apache Traffic Server - Shu Kit Chan, Vijay Prashanth Hosahithlu

MongoDB videos

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Apache Traffic Server and MongoDB)
Proxy Server
100 100%
0% 0
Databases
0 0%
100% 100
Proxy
100 100%
0% 0
NoSQL Databases
0 0%
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 Apache Traffic Server and MongoDB

Apache Traffic Server Reviews

We have no reviews of Apache Traffic Server yet.
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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.
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.
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

Social recommendations and mentions

Based on our record, MongoDB should be more popular than Apache Traffic Server. 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.

Apache Traffic Server mentions (6)

  • API Caching: Techniques for Better Performance
    Apache Traffic Server — A free, fast, and scalable HTTP caching system that improves network efficiency. It supports forward and reverse proxy caching and is configurable to run simultaneously on either or both options. It also provides authentication and basic authorization through plugins. - Source: dev.to / 7 months ago
  • Wikipedia now has up to 1000X reduction of ATS disk read latency at the p999
    Apache Traffic Server: https://trafficserver.apache.org/ Here’s how they use it along with Varnish: https://wikitech.wikimedia.org/wiki/Caching_overview. - Source: Hacker News / over 2 years ago
  • How does Content delivery/distribution network work?
    The LARGE majority of CDNs use either Apache Traffic Server (https://trafficserver.apache.org/) or Nginx for their cache webserver, so the mechanisms used are pretty easy to find if you look through the docs. Source: almost 3 years ago
  • Using Nginx as an Object Storage Gateway
    Apache Traffic Server (no relation to Apache itself) would be an excellent option: https://trafficserver.apache.org/. - Source: Hacker News / over 3 years ago
  • Build a CDN in about 5 hours
    We have choices. We could use Varnish (scripting! Edge side includes! PHK blog posts!). We could use Apache Traffic Server (being the only new team this year to use ATS!). Or we could use NGINX (we're already running it!). The only certainty is that you'll come to hate whichever one you pick. Try them all and pick the one you hate the least. - Source: dev.to / almost 4 years ago
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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 / about 2 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 / 8 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

What are some alternatives?

When comparing Apache Traffic Server and MongoDB, you can also consider the following products

Squid Proxy - Website Content Acceleration and Distribution. Thousands of web-sites around the Internet use Squid to drastically increase their content delivery. Squid can reduce your server load and improve delivery speeds to clients.

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

3proxy - 3proxy freeware proxy server for Windows and Unix. HTTP, SOCKS, FTP, POP3

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

CCProxy - Want to share Internet connection? Get every computer online through a single Internet connection?

MySQL - The world's most popular open source database