Software Alternatives, Accelerators & Startups

Cognos VS MongoDB

Compare Cognos VS MongoDB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Cognos logo Cognos

Discover an all-inclusive BI solution for faster, more reliable data prep and reporting.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Cognos Landing page
    Landing page //
    2023-05-08
  • MongoDB Landing page
    Landing page //
    2023-10-21

Cognos features and specs

  • Comprehensive Reporting
    Cognos Analytics provides robust reporting tools that allow users to create detailed and customized reports, catering to a variety of business needs.
  • Data Visualization
    Cognos comes equipped with powerful data visualization tools, enabling users to create interactive and intuitive dashboards for better data interpretation.
  • Integration Capabilities
    Cognos integrates seamlessly with numerous data sources, including databases, cloud services, and big data platforms, facilitating comprehensive data analysis.
  • User-Friendly Interface
    The platform offers an intuitive and user-friendly interface, making it accessible for users with varying levels of technical expertise.
  • Advanced Analytics
    Cognos includes advanced analytical features such as predictive analytics and AI-driven insights, helping businesses make data-driven decisions.
  • Security Features
    Cognos provides robust security features, including role-based access control and data encryption, ensuring that data integrity and confidentiality are maintained.
  • Mobile Access
    The platform supports mobile access, allowing users to interact with their data and reports on-the-go through mobile devices.

Possible disadvantages of Cognos

  • Cost
    Cognos can be relatively expensive, especially for small to mid-sized businesses, due to its comprehensive features and licensing fees.
  • Complex Implementation
    The implementation process of Cognos can be complex and time-consuming, often requiring specialized expertise and a significant investment of time.
  • Learning Curve
    Despite its user-friendly interface, there is still a steep learning curve associated with mastering all the features and functions of Cognos Analytics.
  • Performance Issues
    Some users have reported performance issues, particularly when handling large datasets, which can lead to slower processing times.
  • Customization Limitations
    While Cognos offers a wide range of features, customization options can sometimes be limited, which may not fully meet the unique requirements of all businesses.
  • Technical Support
    Some users have found IBM's technical support for Cognos to be lacking in terms of response times and the effectiveness of solutions provided.

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.

Cognos videos

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More videos:

  • Review - QUICK REVIEW!!!SMARTWATCH COGNOS Y1!RACUN!!!!
  • Review - COGNOS C24 Mirrorless REVIEW

MongoDB videos

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Cognos and MongoDB)
Analytics
100 100%
0% 0
Databases
0 0%
100% 100
Business & Commerce
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 Cognos and MongoDB

Cognos Reviews

15 Best ETL Tools in 2022 (A Complete Updated List)
It has a special feature of multilingual support using which it can create a global data integration platform. IBM Cognos Data Manager automates business processes and it supports Windows, UNIX, and Linux platforms.
16 Top Big Data Analytics Tools You Should Know About
IBM Cloud is a set of cloud computing services from IBM. It combines the Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It offers over 190 cloud services. IBM’s popular AI cloud platforms are Watson Analytics and Cognos Analytics. IBM Watson delivers services such as machine learning, natural language processing (NLP), and visual recognition.

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 seems to be more popular. 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.

Cognos mentions (0)

We have not tracked any mentions of Cognos yet. Tracking of Cognos recommendations started around Mar 2021.

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 / 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
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What are some alternatives?

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

Histats - Start tracking your visitors in 1 minute!

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

AFSAnalytics - AFSAnalytics.

MySQL - The world's most popular open source database