3 مستودعات
Storage of structured objects or arrays in an immutable, append-only format on disk or cloud.
Distinct from Object Storage: Focuses on the append-only nature of structured datasets rather than generic object storage or log files.
Explore 3 awesome GitHub repositories matching data & databases · Append-Only Dataset Storage. Refine with filters or upvote what's useful.
FastDFS is a distributed file system and object store designed as a high-capacity file server. It functions as a cluster storage manager that saves, syncs, and accesses large volumes of unstructured data across a network of distributed servers. The system uses unique identifiers for file retrieval and indexing instead of traditional hierarchical naming to avoid metadata bottlenecks. It manages file attributes through key-value metadata mapping and employs a distributed replication model to ensure high availability and data redundancy across storage groups. The project provides capabilities f
Implements an append-only modification model that updates files by adding data to the end to avoid full-file re-writes.
Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive tool for web scraping automation, providing a system to extract structured data from websites using both lightweight HTTP requests and headless browser automation. The framework is distinguished by its anti-bot evasion capabilities, which include browser fingerprint impersonation and tiered proxy rotation to bypass detection systems and solve challenges such as Cloudflare. It also incorporates artificial intelligence for autonomous website navigation and schema-based data extra
Saves structured objects and arrays into an append-only store on the local disk or in the cloud.
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Skips merge and deduplication for tables that do not require them, improving scan performance and enabling query optimizations.