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Microsoft SQL VS Scale With Buddha

Compare Microsoft SQL VS Scale With Buddha and see what are their differences

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Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Scale With Buddha logo Scale With Buddha

With Buddha, instead of paying for an expensive MongoDB Atlas cluster tier for extended hours, scale to that tier only during the window you know your users use your app, and SAVE money!
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • Scale With Buddha Add Schedule Screen
    Add Schedule Screen //
    2024-11-08
  • Scale With Buddha Add Keys Screen
    Add Keys Screen //
    2024-11-08
  • Scale With Buddha Login Screen
    Login Screen //
    2024-11-08

Save Money and Scale Smartly with Buddha! 💰

Are you tired of paying for an expensive cluster tier that's running 24/7? With Buddha, you can scale your infrastructure to match your user workload, saving you money on a daily basis! 💸 Choose when you want to scale up and down, and enjoy cost savings without compromising. Try Buddha today and see the difference for yourself!

Configurable Scaling Options for Your App's Peak Hours 📈

Buddha offers flexible scaling options that let you decide when to scale up and down. Choose from specific days of the week, weekdays only, or never-ending scaling. It's easy to configure and saves you money! 💰

With Buddha, you can scale your infrastructure according to your app's workload, ensuring optimal performance and cost efficiency.

Effortless Cluster Management for Your Peace of Mind 😌

Managing scaling of multiple clusters can be a hassle, but not with Buddha! Our platform provides an easy-to-use interface that allows you to select your desired cluster and configure scaling with just a few clicks. Say goodbye to the complexity of managing multiple clusters and enjoy a more streamlined workflow. 💪 With Buddha, you can focus on developing your app while we take care of scaling the infrastructure.

Secure Your Data with Buddha's End-to-End Encryption 🔒

At Buddha, we understand the importance of data security. That's why we provide end-to-end encryption for all data stored in our platform. Neither do we access your data without permission, nor do we store your keys as-is. Enjoy peace of mind knowing that your data is secure and protected with Buddha! 🙏

Support

Experienced unmatched support. We're always there for you. Reach out with feedback/queries: contact@scalewithbuddha.com

Microsoft SQL

Website
microsoft.com
Pricing URL
-
$ Details
-
Release Date
-
Edit details

Scale With Buddha

Website
scalewithbuddha.com
Pricing URL
Official Scale With Buddha Pricing
$ Details
paid $9.99 / Monthly ("1 cluster", "up to 5 schedules", "24hrs SLA Support")
Release Date
2024 May
Edit details

Microsoft SQL features and specs

  • Comprehensive Feature Set
    SQL Server offers a wide range of features including advanced analytics, in-memory capabilities, robust security measures, and integration services.
  • High Performance
    With in-memory OLTP and support for persistent memory technologies, SQL Server provides high transaction and query performance.
  • Scalability
    SQL Server can scale from small installations on single machines to large, data-intensive applications requiring high throughput and storage.
  • Security
    SQL Server offers advanced security features like encryption, dynamic data masking, and advanced threat protection, ensuring data safety and compliance.
  • Integrations
    It easily integrates with other Microsoft products such as Azure, Power BI, and Active Directory, providing a cohesive ecosystem for enterprise solutions.
  • Developer Friendly
    It supports a wide range of development tools and languages including .NET, Python, Java, and more, making it highly versatile for developers.
  • High Availability
    Features like Always On availability groups and failover clustering provide high availability and disaster recovery options for critical applications.

Possible disadvantages of Microsoft SQL

  • Cost
    SQL Server can be expensive, particularly for the Enterprise edition. Licensing costs can add up quickly depending on the features and scale required.
  • Complexity
    Due to its comprehensive feature set, SQL Server can be complex to configure and manage, requiring skilled administrators and developers.
  • Resource Intensive
    SQL Server can be resource-intensive, requiring substantial hardware resources for optimal performance, which can increase overall operational costs.
  • Windows-Centric
    While SQL Server can run on Linux, it is primarily optimized for and tightly integrated with the Windows ecosystem, which may not suit all organizations.
  • Vendor Lock-In
    Being a proprietary solution, it can cause vendor lock-in, making it challenging to switch to alternative database systems without significant migration efforts.

Scale With Buddha features and specs

No features have been listed yet.

Analysis of Microsoft SQL

Overall verdict

  • Yes, Microsoft SQL Server is generally regarded as a good choice for database management, particularly for organizations that require high performance, reliability, and seamless integration with other Microsoft technologies.

Why this product is good

  • Microsoft SQL Server is considered a robust database management system because of its comprehensive features such as high scalability, strong security, and excellent integration with other Microsoft products. It provides tools for data mining, warehousing, and analytics, making it a popular choice for enterprises. Additionally, it offers high availability and disaster recovery solutions, and its active community provides extensive support and resources.

Recommended for

  • Enterprises
  • Businesses using Microsoft ecosystems
  • Organizations requiring robust data security
  • Users needing scalability for large datasets
  • Projects needing high availability and disaster recovery

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

Scale With Buddha videos

No Scale With Buddha videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Microsoft SQL and Scale With Buddha)

Microsoft SQL

Scale With Buddha

Databases
98 98%
Databases
2% 2
Relational Databases
99 99%
Relational Databases
1% 1
NoSQL Databases
0 0%
NoSQL Databases
100% 100
Tool
100 100%
Tool
0% 0

Questions and Answers

As answered by people managing Microsoft SQL and Scale With Buddha.

Why should a person choose your product over its competitors?

Scale With Buddha's answer:

Buddha's only competitor is MongoDB Atlas at present, which doesn't allow you to customize auto-scaling.

What makes your product unique?

Scale With Buddha's answer:

Buddha allows you to save costs drastically when you have a predictable workload. You don't need to run expensive Atlas cluster tier if your users don't use it for 24 hours, at a fixed schedule!

How would you describe your primary audience?

Scale With Buddha's answer:

Buddha can be used by software developers, architects, engineering managers, SRE, DevOps, etc, to cut-down costs on your Atlas clusters.

What's the story behind your product?

Scale With Buddha's answer:

Personally, I have helped deploy MongoDB Atlas clusters for multiple businesses, and a majority of them had predictable workload. This germinated the idea of Buddha: scaling on schedule to save costs.

Which are the primary technologies used for building your product?

Scale With Buddha's answer:

Javascript, MongoDB

User comments

Share your experience with using Microsoft SQL and Scale With Buddha. For example, how are they different and which one is better?
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What are some alternatives?

When comparing Microsoft SQL and Scale With Buddha, you can also consider the following products

MySQL - The world's most popular open source database

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

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

Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

SQLite - SQLite Home Page

MongoDB Atlas - The best way to host MongoDB in the cloud. Deploy on AWS, Azure, or Google Cloud Platform. Try it free!

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