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MongoDB VS Jelastic

Compare MongoDB VS Jelastic and see what are their differences

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MongoDB logo MongoDB

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

Jelastic logo Jelastic

Jelastic is a cloud PaaS and CaaS for hosting providers, ISVs, DevOps and enterprises. It can be used for Public, Private, Hybrid and Multi-Cloud deployments.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • Jelastic Landing page
    Landing page //
    2023-10-10

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.

Jelastic features and specs

  • Scalability
    Jelastic provides automatic vertical and horizontal scaling capabilities, allowing applications to efficiently handle varying loads without manual intervention.
  • Multi-Cloud Support
    Jelastic offers multi-cloud deployment options, allowing users to choose from various cloud service providers, ensuring flexibility and redundancy.
  • Ease of Use
    The platform provides a user-friendly interface with a simple and intuitive setup process, making it accessible to developers with varying levels of experience.
  • Pay-per-Use Pricing
    Jelastic employs a pay-as-you-go pricing model, so users are billed based on actual resource consumption rather than pre-provisioned limits, which can cut down costs.
  • Docker and Kubernetes Support
    Jelastic supports both Docker containers and Kubernetes clusters, giving developers modern tools for orchestration and application management.

Possible disadvantages of Jelastic

  • Limited Provider Options
    While Jelastic supports multiple cloud providers, the options may not be as extensive as some other cloud platforms, limiting choice for some users.
  • Complexity in Advanced Configurations
    While basic setups are straightforward, more complex configurations can become cumbersome and may require additional expertise.
  • Vendor Lock-in Risk
    Using proprietary features specific to Jelastic may create dependencies that complicate migration to another platform if needed.
  • Variable Costs
    Although the pay-per-use model is cost-efficient, unpredictable traffic and usage patterns can lead to unforeseen expenses, making budgeting more challenging.
  • Community and Support
    Compared to larger platforms, Jelastic might have a smaller community and fewer third-party resources, which can pose a challenge for troubleshooting and support.

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

Jelastic videos

+ Add

Jelastic PaaS short demo for hosting service providers

More videos:

  • Review - Why Developers Choose Jelastic
  • Review - Applications and Add-Ons Hosted in One Click via Jelastic Marketplace

Category Popularity

0-100% (relative to MongoDB and Jelastic)

MongoDB

Jelastic

Databases
100 100%
Databases
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

User comments

Share your experience with using MongoDB and Jelastic. For example, how are they different and which one is better?
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Reviews

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

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

Jelastic Reviews

  1. Tiago
    · PO at Atech ·
    Tiago Neves

    Is a great tool, and the real cloud computing. The aws is very caotical to use.

    👍 Pros:    Easy to use|Flexible|Super fast|Easy user interface
    👎 Cons:    Price

Social recommendations and mentions

Based on our record, MongoDB should be more popular than Jelastic. 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 / 10 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

Jelastic mentions (2)

  • Sourcing UK reseller hosting - large amount of sites to host
    Check out https://jelastic.com/ I've found this to be a god send with managing and deploying web servers. The website, somewhere, has a list of all the companies that use Jelastic, and their features. I'd recommend MassiveGrid (they use Equinix data centres). It's also a pay for what you use rather than a set fee each month model. It costs me about 14c/month to host a site with a few hundred visits a month. Source: almost 4 years ago
  • Cloud hosting. Where my partner and I are wrong? Need your opinion.
    Based on the described case, it seems you need to check Jelastic PaaS. I’ll explain in a few details:. Source: over 4 years ago

What are some alternatives?

When comparing MongoDB and Jelastic, 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.

Cloud Foundry - Cloud Foundry is an open platform as a service, providing a choice of clouds, developer frameworks and application services, making it faster and easier to build, test, deploy and scale applications from an IDE or the command line.

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

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

MySQL - The world's most popular open source database

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

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