Software Alternatives, Accelerators & Startups
Register | Login

Raven DB VS MongoDB

Compare Raven DB VS MongoDB and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Raven DB logo Raven DB

Introducing RavenDB 4. 0. A Fully Transactional Open Source NoSQL Document Database. Easy to use, rapidly scalable, offers high availability, and takes your Business into the Next Generation of Data Performance.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Raven DB Landing page
    Landing page //
    2023-09-19
  • MongoDB Landing page
    Landing page //
    2023-10-21

Raven DB features and specs

  • Schema-less Design
    RavenDB offers a schema-less document database structure, allowing for flexible data modeling where you can easily evolve your data model over time without the need for complex migrations.
  • ACID Transactions
    The database supports ACID transactions, ensuring consistent and reliable operations across multiple documents, which is beneficial for applications that require strong data consistency.
  • Built-in Indexing
    RavenDB includes automatic indexing as well as customizable indexing options, which provide efficient querying capabilities and enhance performance without requiring extensive setup.
  • Replication and Sharding
    It supports replication and sharding, enabling horizontal scaling and high availability, which are crucial for large-scale applications requiring distributed data across servers.
  • Ease of Use
    RavenDB offers an intuitive management interface and APIs, making it user-friendly and allowing developers to quickly integrate it into projects without steep learning curves.

Possible disadvantages of Raven DB

  • Limited Ecosystem
    Compared to more mature databases, RavenDB might have a smaller ecosystem of plugins and third-party tools, which could limit its integration possibilities with other technologies.
  • Cost
    While there is an open-source version, accessing the full range of enterprise features in RavenDB might require a commercial license, potentially increasing costs for small projects or startups.
  • Community Support
    Being a relatively niche database compared to giants like MongoDB or PostgreSQL, it has a smaller community, which could mean fewer community-driven resources or solutions.
  • Learning Curve
    Developers accustomed to SQL databases might find the transition to a document-based database like RavenDB challenging, necessitating time spent learning new paradigms and practices.
  • Performance Trade-offs
    While RavenDB offers great flexibility and powerful features, certain workloads might experience performance trade-offs, particularly if not optimized or configured correctly for specific 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.

Raven DB videos

No Raven DB videos yet. You could help us improve this page by suggesting one.

Add video

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 Raven DB and MongoDB)

Raven DB

MongoDB

Database Management
100 100%
Database Management
0% 0
Databases
1 1%
Databases
99% 99
Tool
100 100%
Tool
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Raven DB 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 Raven DB and MongoDB

Raven DB Reviews

We have no reviews of Raven DB yet.
Be the first one to post

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 should be more popular than Raven DB. 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.

Raven DB mentions (5)

  • SQL and M4 = Composable SQL
    Have you seen RavenDB: https://ravendb.net/ It's a nosql/multimodal document store written in .NET and supports LINQ-like syntax. - Source: Hacker News / over 2 years ago
  • Anyone needs push notifications for changes in RavenDB
    RavenDB is an open-source document-oriented database. It is fully ACID. It is cross-platform, supported on Windows, Linux, and Mac OS. Also, as platform as a service, it is served as cloud service as well. - Source: dev.to / almost 3 years ago
  • Are they any companies which focus on building database solutions(database system programming)?
    Could not find the careers page - https://ravendb.net/. Source: almost 3 years ago
  • Choice of DB and ETL Tool
    Try RavenDB (NoSQL like gandi800 or skilriki suggested). Has no connection whatsoever with the US and has ETL. You can download it on-prem for free: RavenDB. Source: almost 3 years ago
  • Ravix - A RavenDB Elixir Library!
    A couple months ago we decided to use RavenDB where I work, but sadly it lacked an Elixir library, so I decided to build our own, I've just released the first stable-ish version of the library and it's ecto adapter, still needs some polishing but it's getting there. Feel free to point issues or suggestions! Source: about 3 years ago

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 Raven DB and MongoDB, you can also consider the following products

InterSystems IRIS - InterSystems IRIS Data Platform sets a new level of performance for rapidly developing and deploying applications. Learn how it can help your organization.

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

Toad Edge - Windows GUI for MySQL. SQL Syntax Check. Freeware (Basic Features) & Payware (Extended Features).

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

SysTools DBX Converter - DBX to PST Converter tool helps to easily migrate from Outlook Express to Outlook PST, MSG, EML.

MySQL - The world's most popular open source database

Loading...