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MongoDB VS SQL Server 2017

Compare MongoDB VS SQL Server 2017 and see what are their differences

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  3. » Reviews
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MongoDB logo MongoDB

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

SQL Server 2017 logo SQL Server 2017

Jul 1, 2017 - Learn about tools and services for mobile and paginated Reporting Services reports and Power BI reports on premises.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • SQL Server 2017 Landing page
    Landing page //
    2021-09-20

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.

SQL Server 2017 features and specs

  • Cross-Platform Support
    SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
  • Graph Database Capabilities
    Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
  • Advanced Analytics
    Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
  • Adaptive Query Processing
    Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
  • Enhanced Security
    SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.

Possible disadvantages of SQL Server 2017

  • Cost
    Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
  • Complexity
    SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
  • Resource Intensive
    Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
  • Limited NoSQL Functionality
    While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
  • Version-Specific Features
    Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.

MongoDB videos

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MySQL vs MongoDB

More videos:

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

SQL Server 2017 videos

+ Add

SQL Server 2017 – Everything you need to know

More videos:

  • Review - SQL Server 2017 Features

Category Popularity

0-100% (relative to MongoDB and SQL Server 2017)

MongoDB

SQL Server 2017

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Business Intelligence
0 0%
Business Intelligence
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 MongoDB and SQL Server 2017

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

SQL Server 2017 Reviews

We have no reviews of SQL Server 2017 yet.
Be the first one to post

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.

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
View more

SQL Server 2017 mentions (0)

We have not tracked any mentions of SQL Server 2017 yet. Tracking of SQL Server 2017 recommendations started around Mar 2021.

What are some alternatives?

When comparing MongoDB and SQL Server 2017, 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.

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

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

Telerik Reporting - Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.

MySQL - The world's most popular open source database

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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