Software Alternatives, Accelerators & Startups

MongoDB VS CrateIO

Compare MongoDB VS CrateIO and see what are their differences

MongoDB logo MongoDB

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

CrateIO logo CrateIO

The Distributed Database for Docker
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • CrateIO Landing page
    Landing page //
    2023-09-17

CrateIO

Website
crate.io
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Bernd Dorn
Employees
50 - 99

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.

CrateIO features and specs

  • Scalability
    CrateIO offers horizontal scalability, allowing you to handle large volumes of data and high traffic by simply adding more nodes to the cluster. Its distributed architecture makes it suitable for scaling with growing data demands.
  • Ease of Integration
    CrateIO is designed to integrate well with existing systems. It supports standard SQL queries, making it accessible for developers familiar with relational databases. Additionally, it provides RESTful APIs for easy integration with other applications.
  • Real-time Analytics
    CrateIO is optimized for real-time analytics and data processing, making it ideal for applications that require immediate data insights and fast querying speeds.
  • Dynamic Schema
    The dynamic schema feature of CrateIO allows for flexibility in handling changes in the data model. Users can easily add new fields to a table without downtime, catering to agile development and evolving data structures.

Possible disadvantages of CrateIO

  • Limited Advanced SQL Features
    While CrateIO supports SQL, it may lack some advanced SQL features that are available in traditional relational database systems. This might be a limitation for applications that rely heavily on complex SQL queries and transactions.
  • Indexing Overheads
    CrateIO's use of Elasticsearch for indexing can lead to performance overheads, especially in scenarios with frequent write operations that require constant index updates.
  • Complex Configuration
    Setting up and configuring a CrateIO cluster can be complex, especially for organizations without prior experience with distributed systems, requiring a learning curve and potentially more time to set up correctly.
  • Community and Ecosystem
    CrateIO's ecosystem and community are smaller compared to more established databases, which might limit the availability of ready-made solutions or community support for niche use cases.

MongoDB videos

MySQL vs MongoDB

More videos:

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

CrateIO videos

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

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Category Popularity

0-100% (relative to MongoDB and CrateIO)
Databases
97 97%
3% 3
NoSQL Databases
97 97%
3% 3
Relational Databases
94 94%
6% 6
Graph Databases
100 100%
0% 0

User comments

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Reviews

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

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

CrateIO Reviews

We have no reviews of CrateIO yet.
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Social recommendations and mentions

Based on our record, MongoDB should be more popular than CrateIO. 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 / 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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CrateIO mentions (12)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    CrateDB - Distributed Open Source SQL database for real-time analytics. Free Tier CRFREE: One-node with 2 CPUs, 2 GiB of memory, 8 GiB of storage. One cluster per organization, no payment method needed. - Source: dev.to / over 1 year ago
  • varpro 0.6: Fast and Simple Nonlinear Fitting
    Not necessarily argmin{}, but it appears as one of top download in crate.io. Again, that's just a suggestion. VarPar seems like a subset of bigger "optimization", but I might be wrong. I am not affiliated to argmin{} at all. I am still learning argmin{} and have not even get my first optimization to run properly. Do I want to learn new workflow again ... hmm.. A search in crate.io for "optimization" yield tons... Source: about 2 years ago
  • A good, fast hash for nucleotides triplet converted to 0, 1, 3, 2 using `3 & (nuc << 1)`
    I really, really don't understand what the big deal with Rust is. I like to call Rust "LLVM's Python". It's a language for people who don't know how to debug segfaults lol. This is coming from me a person who loves Rust, despite all its faults, I believe if used as a low-level language, it can flourish to hell and back. But if you are going to use it as a webframework and load dozens of crate.io libraries on it,... Source: about 2 years ago
  • Unable to compile rand_core
    There's 3 more errors that amount to the same thing. So I run cargo update. Same result. Explicitly tried to update cfg-if then rand_core with --verbose and --aggressive. No output beyond "updating crate.io index." Checked in browser for updates. cfg-if had no new versions since 2018. Then I tried using cargo clean first. Same result. Source: about 2 years ago
  • Stop Comparing Rust to Old C++
    However, I do say that my general points still holds: most user's composing their types will get the right defaults and if they need anything more exotic, the users and domain specialist can very easy coordinate via crate.io . Source: over 2 years ago
View more

What are some alternatives?

When comparing MongoDB and CrateIO, 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.

MySQL - The world's most popular open source database

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

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

SQLite - SQLite Home Page