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Amazon API Gateway VS SQL Server 2017

Compare Amazon API Gateway 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

Amazon API Gateway logo Amazon API Gateway

Create, publish, maintain, monitor, and secure APIs at any scale

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.
  • Amazon API Gateway Landing page
    Landing page //
    2023-03-12
  • SQL Server 2017 Landing page
    Landing page //
    2021-09-20

Amazon API Gateway features and specs

  • Scalability
    API Gateway automatically scales to handle the number of requests your API receives, ensuring high availability and reliability.
  • Ease of Integration
    Seamlessly integrates with other AWS services like Lambda, DynamoDB, and IAM, enabling a cohesive environment for developing serverless applications.
  • Built-in Security
    Provides features such as IAM roles, API keys, and AWS WAF integration for safeguarding your APIs from potential threats.
  • Monitoring and Logging
    Supports CloudWatch integration for monitoring API requests and responses, helping you maintain observability and troubleshoot issues effectively.
  • Cost-Effective
    You only pay for the requests made to your APIs and the amount of data transferred out, making it a cost-effective solution for many use cases.
  • Caching
    Built-in caching at the API Gateway level can improve performance and reduce latency for frequently accessed data.

Possible disadvantages of Amazon API Gateway

  • Complexity in Configuration
    Setting up and managing API Gateway can be complex, especially for users who are not familiar with AWS services and cloud infrastructure.
  • Cold Start Latency
    When integrated with AWS Lambda, cold starts can introduce latency which can affect the performance of your API.
  • Cost for High Throughput
    While cost-effective for low to moderate usage, the costs can escalate with high throughput and large data transfers.
  • Debugging Issues
    Diagnosis can be complicated due to the multi-tenant nature of the service and the need to dive into multiple AWS logs and services.
  • Limited Customization
    There might be constraints regarding customizations and fine-tuning your APIs compared to self-hosting solutions.
  • Vendor Lock-in
    Dependence on AWS infrastructure can lead to vendor lock-in, making it challenging to migrate to other cloud providers or solutions.

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.

Analysis of Amazon API Gateway

Overall verdict

  • Amazon API Gateway is considered a good choice for businesses and developers who are looking for a reliable and scalable API management solution, especially if they are already using other AWS services.

Why this product is good

  • Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. It is highly scalable, offers robust features like automatic security patches, supports multiple authentication mechanisms, and integrates seamlessly with other AWS services. Additionally, it provides detailed monitoring and logging, which facilitates effective API management.

Recommended for

  • Developers building serverless applications on AWS, particularly with AWS Lambda.
  • Organizations that require secure, scalable, and highly available APIs.
  • Businesses seeking seamless integrations within the AWS ecosystem.
  • Teams that need detailed monitoring, logging, and security features for their APIs.

Amazon API Gateway videos

+ Add

Building APIs with Amazon API Gateway

More videos:

  • Review - Create API using AWS API Gateway service - Amazon API Gateway p1

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 Amazon API Gateway and SQL Server 2017)

Amazon API Gateway

SQL Server 2017

API Tools
100 100%
API Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using Amazon API Gateway 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, Amazon API Gateway seems to be more popular. It has been mentiond 115 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.

Amazon API Gateway mentions (115)

  • Dynamic Looping Comes to AWS SAM
    I can generate multiple API endpoints from a single definition by attaching an Amazon API Gateway event source inside the loop:. - Source: dev.to / about 2 months ago
  • AIP-C01 last-minute revision: exam traps, memory hooks, and quick notes
    API Patterns: REST (Amazon API Gateway), GraphQL (AWS AppSync with real-time subscriptions), WebSockets for streaming. - Source: dev.to / 2 months ago
  • Processing long running events on AWS API Gateway
    AWS API Gateway is a managed HTTP/REST service provided by AWS. It provides a relatively simple way to host an API and offers rich functionality when it comes to customizability, security and integration. AWS API Gateway enforces a maximum integration timeout of 29 seconds. For most APIs this is perfectly reasonable. - Source: dev.to / 3 months ago
  • GraphQL Response Streaming with Amazon API Gateway and GraphQL Yoga
    Until recently, GraphQL response streaming with AWS Lambda was only possible using Lambda Function URLs. But AWS now supports response streaming with Amazon API Gateway, and graphql-yoga has added support for this feature. This opens up new possibilities for building responsive GraphQL APIs with the full feature set of API Gateway (custom domains, usage plans, API keys, etc.). - Source: dev.to / 5 months ago
  • Is your monitoring testing strategy chaos?
    Nowadays, many Cloud implementations will make use of serverless architectures, such as AWS Lambdas and API Gateways to implement micro-services, or other similar functionality to deliver business logic without the need to manage servers. - Source: dev.to / 6 months 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 Amazon API Gateway and SQL Server 2017, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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

Postman - The Collaboration Platform for API Development

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.

Apigee - Intelligent and complete API platform

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

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