Daten · GitHub

Node TDS module for connecting to SQL Server databases.

Die Datenbank für Finanztransaktionen, entwickelt für Sicherheit und Leistung in unternehmenskritischen Systemen.

Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs. This repository contains unofficial port of Redis to Windows.

A small .NET package to generate YouTube-like hashes from one or many numbers. Use hashids when you do not want to expose your database ids to the user.

• Creates short unique IDs from integers. (only positive numbers & zero)
• Generates non-sequential IDs for incremental input to stay unguessable.

Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.

• Real-time processing during event transmissions, such as filtering and transformation.
• Natively support the CloudEvents specification, and can directly send events to workloads that support CloudEvent.

📊 An analytics server that doesn't undermine user's privacy

• Fair - It's meant to provide lightweight and anonymous analytics about traffic and usage, not to track behaviors nor geographical locations of users
• Distributed - Raw traffic data is written in an append-only, secure, and distributed log. It uses hypercore under the hood

Real-Time M-Pesa Transaction Streaming Pipeline built using modern data engineering technologies to ingest, process, stream, and analyze transaction data in real time. Demonstrates event-driven architecture, stream processing, data pipelines, and scalable analytics for fintech applications.

OCILIB (C and C++ Drivers for Oracle)

• Full ANSI and Unicode support on all platforms (ISO C wide strings or UTF-8 strings)
• Full 32/64-bit compatibility

Weaviate ist eine quelloffene Vektordatenbank, die sowohl Objekte als auch Vektoren speichert. Sie ermöglicht die Kombination von Vektorsuche und strukturierten Filtern und bietet die Fehlertoleranz und Skalierbarkeit einer cloudnativen Datenbank.

• ⚡ Fast Search Performance: Perform complex semantic searches over billions of vectors in milliseconds. Weaviate's architecture is built in Go for speed and reliability, ensuring your AI applications are highly responsive even under heavy load. See our ANN benchmarks for more info.
• 🔌 Flexible Vectorization: Seamlessly vectorize data at import time with integrated vectorizers from OpenAI, Cohere, HuggingFace, Google, and more. Or you can import your own vector embeddings.