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SST VS SQL Server 2017

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

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

SST logo SST

Work on your serverless apps live

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.
  • SST Landing page
    Landing page //
    2023-08-27
  • SQL Server 2017 Landing page
    Landing page //
    2021-09-20

SST features and specs

  • Ease of Use
    SST is designed to simplify the process of building serverless applications, providing developers with higher-level abstractions and tools that streamline development.
  • Integration with AWS
    SST is well-integrated with AWS services, allowing developers to leverage the full power of AWS infrastructure while maintaining a focus on serverless architecture.
  • Live Lambda Development
    SST supports live Lambda development, enabling developers to make real-time changes and see them reflected immediately without the need for lengthy deployment processes.
  • Infrastructure as Code
    With SST, developers can define their infrastructure programmatically, which promotes version control, scalability, and collaboration among team members.
  • Flexibility
    SST provides flexibility to developers, allowing them to use popular libraries and frameworks alongside serverless components, thus accommodating various use cases.

Possible disadvantages of SST

  • Learning Curve
    Developers unfamiliar with SST and its abstractions may face a learning curve in understanding how to effectively use the toolkit and take full advantage of its features.
  • AWS Lock-in
    As SST is tightly integrated with AWS services, it can lead to vendor lock-in, making it challenging for organizations to switch to other cloud providers in the future.
  • Complexity for Small Projects
    For smaller projects, the overhead introduced by SST's abstractions and tooling might be unnecessary, adding complexity without significant benefits.
  • Dependency on Community Support
    SST relies on community support for maintenance and feature development, which could pose a risk if the community's interest wanes or if support does not keep pace with AWS innovations.

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.

SST videos

+ Add

Performix sst review fat burner

More videos:

  • Review - Hornady 129gr SST Recovered Bullet Review: 6.5 Creedmoor Deer Load ๐ŸฆŒ
  • Review - SST Energy Seltzer Review; The Energy Drink by Performix.

SQL Server 2017 videos

+ Add

SQL Server 2017 โ€“ Everything you need to know

More videos:

  • Review - SQL Server 2017 Features

Category Popularity

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

SST

SQL Server 2017

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Open Source
100 100%
Open Source
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using SST and SQL Server 2017. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, SST seems to be more popular. It has been mentiond 31 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.

SST mentions (31)

  • Best/low maintenance devops toolchain for basic sass?
    After researching all night, https://github.com/serverless-stack/sst seems like a good trade off between flexibility, simplicity and features. Source: over 3 years ago
  • Dynamodb design with Appsync
    I use https://github.com/serverless-stack/serverless-stack โ€” not the serverless project. This one is far better. Source: over 4 years ago
  • A magical AWS serverless developer experience
    That said: SST is open source, so you could maybe somehow reimplement their debug stack which is the websockets magic + the Lambda shim in terraform to get it working... Source: over 4 years ago
  • Anti-Patterns to Avoid in Lambda Based Apps
    If you are using CDK then check out SST: https://github.com/serverless-stack/serverless-stack It's based on CDK and has a great local development environment for Lambda. It allows you to set breakpoints and test it locally: https://serverless-stack.com/examples/how-to-debug-lambda-functions-with-visual-studio-code.html. - Source: Hacker News / over 4 years ago
  • Introducing Serverless Cloud: AWS Serverless Power for Back-Endsโ€”Without the Complexity
    I'll just plug what we built, SST: https://github.com/serverless-stack/serverless-stack. Source: over 4 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 SST and SQL Server 2017, you can also consider the following products

Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket

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

Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative.

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.

Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.

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

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