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2 dépôts

Awesome GitHub RepositoriesData Ingestion

Ingesting data into the database through the PostgreSQL wire protocol.

Distinct from PostgreSQL Protocol Compatibility: Distinct from PostgreSQL Protocol Compatibility: focuses on the ingestion use case via the PostgreSQL protocol, not just protocol-level compatibility.

Explore 2 awesome GitHub repositories matching data & databases · Data Ingestion. Refine with filters or upvote what's useful.

Awesome Data Ingestion GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • greptimeteam/greptimedbAvatar de GreptimeTeam

    GreptimeTeam/greptimedb

    5,968Voir sur GitHub↗

    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

    GreptimeDB connects via the PostgreSQL protocol to manage tables, ingest and query data, and handle time zones.

    Rustanalyticscloud-nativedatabase
    Voir sur GitHub↗5,968
  • cortexproject/cortexAvatar de cortexproject

    cortexproject/cortex

    5,751Voir sur GitHub↗

    Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro

    Cortex updates ingester instances one by one without interrupting metric ingestion or querying.

    Gocncfhacktoberfestkubernetes
    Voir sur GitHub↗5,751
  1. Home
  2. Data & Databases
  3. PostgreSQL Protocol Compatibility
  4. Data Ingestion

Explorer les sous-tags

  • Ingester Scaling1 sous-tagAdding or removing ingester instances to match changing ingestion load while maintaining data availability. **Distinct from Data Ingestion:** Distinct from general Data Ingestion: focuses on scaling the ingester component specifically, not the ingestion process itself.
  • Stateful Ingester Replacement Automation1 sous-tagAutomating the replacement of ingester instances by scaling down one StatefulSet and scaling up another with data flushing. **Distinct from Data Ingestion:** Distinct from Data Ingestion: focuses on automating the replacement of ingester instances, not the ingestion process itself.