SQL Server 2017

Website

microsoft.com

Categories

#Business Intelligence #Data Dashboard #Data Visualization #Analytics Dashboard

AWS Snowball

Website

aws.amazon.com

Categories

#B2B SaaS #Business & Commerce #Sales And Marketing #Screen Recording

Startup details

Country

United States

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.

AWS Snowball features and specs

• High Data Transfer Speed
  AWS Snowball allows for rapid data transfer, capable of moving petabytes of data securely and quickly, often faster than transferring over the internet.
• Security
  Snowball devices use tamper-evident enclosures, 256-bit encrypted data transfer, and secure data erasure once the data has been uploaded to AWS, ensuring data security during transit.
• Cost-Effective
  Compared to high-bandwidth internet connections, especially in regions with poor connectivity, AWS Snowball can be a more cost-effective solution for large-scale data transfer.
• Scalability
  Users can request multiple Snowball devices simultaneously to move larger volumes of data efficiently. This makes it scalable to meet the needs of significant data transfer projects.
• Ease of Use
  AWS provides a simple, user-friendly interface for ordering, tracking, and managing Snowball devices, making the service accessible even to users without deep technical expertise.
• Offline Data Transfer
  Snowball operates offline, meaning that data can be transferred without relying on internet connectivity, which is particularly beneficial in areas with limited or unreliable connectivity.

Possible disadvantages of AWS Snowball

• Limited Data Sizes Per Device
  Each Snowball device has a maximum capacity (currently up to 80TB per device), so extremely large datasets may require multiple devices and therefore multiple shipments.
• Shipping Time
  The physical shipment of Snowball devices can take several days depending on the location, which may not be suitable for projects requiring immediate data transfer.
• Initial Cost and Complexity
  There may be an initial investment and learning curve involved in setting up and understanding how to use AWS Snowball, which might be a barrier for smaller organizations or those with limited technical expertise.
• Geographical Limitations
  AWS Snowball may not be available in all regions or countries, limiting its usefulness for organizations based in or needing to ship data to/from unsupported locations.
• Handling and Physical Security
  Despite its tamper-evident features, physical shipment adds a layer of risk related to potential loss or damage in transit, as well as the need for secure handling and storage until the data transfer is complete.
• Data Transfer Time
  Once the device arrives, transferring data to and from the Snowball can be time-consuming depending on the volume of data and the local network setup.

SQL Server 2017 – Everything you need to know

More videos:

AWS Snowball Edge Overview

More videos: