• Linux support for tier-1, mission-critical workloads – SQL Server 2017 support for Linux includes the same high availability solutions on Linux as Windows Server, including Always On availability groups integrated with Linux native clustering solutions like Pacemaker.
• Graph data processing in SQL Server – With the graph data features available in SQL Server 2017and Azure SQL Database, customers can create nodes and edges, and discover complex and many-to-many relationships.
• Adaptive query processing – Adaptive query processing is a family of features in SQL Server 2017 that automatically keeps database queries running as efficiently as possible without requiring additional tuning from database administrators. In addition to the capability to adjust batch mode memory grants, the feature set includes batch mode adaptive joins and interleaved execution capabilities.
• Python integration for advanced analytics – Microsoft Machine Learning Services now brings you the ability to run in-database analytics using Python or R in a parallelized and scalable way. The ability to run advanced analytics in your operational store without ETL means faster time to insights for customers while easy deployment and rich extensibility make it fast to get up and running on the right model. 

String Parsing in SQL 

EasyCompressor is an open-source compression abstraction library that supports and implements many compression algorithms such as Zstd, LZMA, LZ4, Snappy, Brotli, GZip and Deflate. It is very useful for using along with Distributed Caching or storing files in database. 

EntityFramework.Exceptions simplifies this by handling all the database specific details and throwing different exceptions. All you have to do is inherit your DbContext from ExceptionProcessorContext and handle the exception(s) such as UniqueConstraintException, CannotInsertNullException, MaxLengthExceededException, NumericOverflowException you need. 

This package helps set up SqlClient in applications using dependency injection, notably ASP.NET and Worker Service applications. It allows easy configuration of your database connections and registers the appropriate services in your DI container. It also enables you to log events from Microsoft.Data.SqlClient using standard .NET logging (ILogger). 

There a misinformed notions floating around the agile community that products and better than projects. That some how - unspecified and unsubstantiated  as usual - that projects are undesirable and focusing on products and their value - again unspecified how to measure that value and unsubstantiated that value measurement isn't what projects do as well. 

Branca is a catchy name for IETF XChaCha20-Poly1305 AEAD message with an additional version number and timestamp. It is well suited to be used as an authenticated and encrypted API token. Branca specification does not specify the payload format. 

MathSharp is a vector and matrix library written in C# using hardware intrinsics. Thanks to hardware acceleration, MathSharp is significantly faster than most mathematics libraries out there, but only supports .NET Core 3.0 and up.