GitHub Trends
10.1K subscribers
15.3K links
See what the GitHub community is most excited about today.

A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.

Author and maintainer: https://github.com/katursis
Download Telegram
#java #analytics #big_data #cloudnative #database #datalake #delta_lake #distributed_database #hudi #iceberg #join #lakehouse #lakehouse_platform #mpp #olap #real_time_analytics #real_time_updates #realtime_database #sql #star_schema #vectorized

StarRocks is a very fast query engine for analyzing data quickly, even in just a second. It works 3 times faster than other similar tools and doesn't require you to move or change your data. Here are some key benefits:
- It uses advanced technology to speed up queries.
- It supports standard SQL and works with various clients and BI software.
- It optimizes complex queries efficiently.
- It allows real-time updates and direct access to data from different sources.
- It manages resources well and is easy to maintain and scale.

Using StarRocks can help you analyze data much faster and more efficiently, making your work easier and quicker.

https://github.com/StarRocks/starrocks
#go #amazon_s3 #cloud #cloudnative #cloudstorage #go #k8s #kubernetes #multi_cloud #multi_cloud_kubernetes #objectstorage #s3 #storage

MinIO is a fast and scalable object storage system that works like Amazon S3. It's great for storing large amounts of data, especially for machine learning and analytics projects. MinIO is easy to use, runs on many platforms, and supports Kubernetes for easy management. It also provides strong data protection with features like erasure coding and encryption. This makes MinIO a good choice for businesses that need reliable and efficient data storage solutions.

https://github.com/minio/minio
#go #cloudnative #grafana #hacktoberfest #logging #loki #prometheus

Loki is a log aggregation system inspired by Prometheus but designed specifically for logs instead of metrics. It is cost-effective and easy to operate because it only indexes metadata (labels) about logs, not the full log content, which reduces storage and complexity. Loki works well with Kubernetes by automatically indexing pod labels and integrates natively with Grafana for easy log visualization. Its stack includes an agent (Alloy) to collect logs, Loki to store and query them, and Grafana to display them. This setup helps you efficiently manage and analyze logs with less cost and simpler operation compared to traditional logging systems[2].

https://github.com/grafana/loki