Software Alternatives & Reviews

Apache Storm VS MongoDB

Compare Apache Storm VS MongoDB and see what are their differences

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • MongoDB Landing page
    Landing page //
    2023-10-21

Apache Storm videos

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

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 Storm and MongoDB)
Big Data
100 100%
0% 0
Databases
5 5%
95% 95
NoSQL Databases
0 0%
100% 100
Stream Processing
100 100%
0% 0

User comments

Share your experience with using Apache Storm and MongoDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...

MongoDB Reviews

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
20+ MongoDB Alternatives You Should Know About
If you’re not ready for a major migration effort, there is one more solution for you – Percona Server for MongoDB. Based on MongoDB Community, and enhanced by Percona with Enterprise Features, Percona Server for MongoDB offers 100% compatibility. As we wrote in a previous post, we commit to shipping a supported AGPL version until the situation around SSPL is clearly resolved.
Source: www.percona.com

Social recommendations and mentions

MongoDB might be a bit more popular than Apache Storm. We know about 15 links to it since March 2021 and only 11 links to Apache Storm. 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 Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago
View more

MongoDB mentions (15)

  • 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 1 year 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 1 year ago
  • Is the internet off in Russia ?
    Mongodb.com and many other services that don't work with russians anymore. Source: over 1 year ago
  • Unable to POST, Strange HTTP Response
    If I go to mongodb.com, I can see that no data has been posted to the database. However, the logs DO show that my requests have been received. Source: over 1 year ago
  • MongoDB, Inc. gives your information to other companies
    I recently made an account on mongodb.com, and soon after, I saw checked my Facebook advertisement settings and saw that MongoDB was targeting me through "uploaded a list to target you". Very likely they sell or use your information on/to other platforms and companies too. Source: over 1 year ago
View more

What are some alternatives?

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

MySQL - The world's most popular open source database