dotConnect for SQLite is a high-performance ORM enabled ADO.NET provider for SQLite. It builds on ADO.NET technology to present a complete solution for developing SQLite-based database applications. It introduces new approaches for designing application architecture, boosts productivity, and facilitates the development of database applications.
dotConnect for SQLite is the best solution to use SQLite in .NET Framework and develop SQLite .NET applications. It allows integrating SQLite with .NET data-related technologies, like ADO.NET, Entity Framework, Entity Framework Core and build all kinds of SQLite .NET applications - ASP.NET applications and websites, Console, WinForms, .NET MAUI apps, etc.
Our .NET Framework data provider for SQLite supports a wide range of SQLite-specific features, such as user-defined functions, CEROD, SQLiteCrypt, and SEE encryption extensions, support for enabling SQLite extensions with connection string parameters, etc.
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
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Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 16 days ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 22 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / about 1 month ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / about 1 month ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 2 months ago
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