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PetaSAN VS MongoDB

Compare PetaSAN VS MongoDB and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

PetaSAN logo PetaSAN

PetaSAN is an open source Scale-Out SAN solution offering massive scalability and performance.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • PetaSAN Landing page
    Landing page //
    2022-07-02
  • MongoDB Landing page
    Landing page //
    2023-10-21

PetaSAN features and specs

  • Scalability
    PetaSAN is designed to be highly scalable, allowing users to easily expand their storage capacity by adding more nodes to the system.
  • Open Source
    As an open-source solution, PetaSAN allows for transparency, community-driven development, and flexibility to modify the system as needed.
  • High Availability
    The system is built to provide high availability with built-in redundancy features, ensuring minimal downtime and data accessibility.
  • Cost-Effective
    Being an open-source solution, PetaSAN can be more cost-effective compared to proprietary storage systems, reducing software acquisition costs.
  • Flexibility
    PetaSAN supports a wide range of hardware, which provides users with the flexibility to choose and integrate various components based on their needs.

Possible disadvantages of PetaSAN

  • Complex Setup
    Setting up and configuring PetaSAN can be complex and time-consuming, requiring significant technical knowledge and experience with storage systems.
  • Community Support
    While PetaSAN is open source, it relies on community support for troubleshooting and updates, which can sometimes lead to slower support response times.
  • Learning Curve
    Users may face a steep learning curve, especially if they are not familiar with open-source storage solutions, requiring more time to become proficient with the system.
  • Limited Features
    Compared to some commercial storage solutions, PetaSAN may have fewer advanced features and capabilities, potentially limiting its functionality for certain use cases.

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.

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

PetaSAN videos

+ Add

Review Banyak Petasan

More videos:

  • Review - Review 3# Petasan, Bikin Mobil Rocket Pake Petasan Part-1
  • Review - REVIEW R1-M KNALPOT NEMBAK NEMBAK KAYA PETASAN! CANGGIH BGT NIH MOTOR GAIZ! #r1m #motovlog

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to PetaSAN and MongoDB)

PetaSAN

MongoDB

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

User comments

Share your experience with using PetaSAN and MongoDB. 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 PetaSAN and MongoDB

PetaSAN Reviews

9 Of The Best FreeNAS Alternatives For Your Storage Needs
We have PetaSAN which is a fantastic FreeNAS alternatives app. This is an open-source Scale-Out SAN process that is highly reliable. It makes use of the best cloud processes to enable clients to have immense flexibility.
Source: technicalustad.com
15 FreeNAS Alternatives 2020 | Best Storage Operating System
PetaSAN is a Ceph-based iSCSI cluster, open-source FreeNAS alternative, known widely for its end-to-end integrated solution and scale-out SAN arrangement that offers impressive adaptability and execution. Its latest cloud storage technology makes it corporate-efficient to manage large data storage in one unit; run on the Linux operating system, the program has many nodes...
Source: solutionsuggest.com
15 Best FreeNas alternatives in 2020
The next on the list is one of the best FreeNas alternative for storing large data, PetaSAN. It is open-source software which has the latest technology of cloud storage which makes it easy for corporates and enterprises to save their necessary files, data,and folders in one unit. There are many nodes which are joined for a better performance of this software. It runs on...
Source: alternativoj.com
10 Best FreeNas alternatives in 2020
PetaSAN is an open-source Scale-Out SAN arrangement offering enormous adaptability and execution. PetaSAN utilizes current cloud-based innovations to give the flexibility and ability to scale up the capacity group basically by including more hubs; this should be possible whenever and in a genuinely non-troublesome way. PetaSAN is planned from the beginning to do a specific...
Source: omy9.com

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

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.

PetaSAN mentions (0)

We have not tracked any mentions of PetaSAN yet. Tracking of PetaSAN 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 / 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

What are some alternatives?

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

TrueNAS Core - TrueNAS Core (formerly FreeNAS) is a storage operating system strong and robust enough to meet the needs of enterprise level businesses.

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

XigmaNAS - File Sharing, OS & Utilities, and Security & Privacy

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

Amahi - Amahi is a media, home and app server software known for its easy-to-use user interface. Amahi has the best media, backup and web apps for small networks.

MySQL - The world's most popular open source database

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