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3 repository-uri

Awesome GitHub RepositoriesArrow Table Exports

Converting feature retrieval query results into Apache Arrow tables for efficient columnar processing.

Distinct from Apache Arrow Processing: Distinct from Apache Arrow Processing: focuses specifically on exporting query results to Arrow tables, not general Arrow processing.

Explore 3 awesome GitHub repositories matching data & databases · Arrow Table Exports. Refine with filters or upvote what's useful.

Awesome Arrow Table Exports GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • yizhiyanhua-ai/fireworks-tech-graphAvatar yizhiyanhua-ai

    yizhiyanhua-ai/fireworks-tech-graph

    8,048Vezi pe GitHub↗

    Fireworks Tech Graph is a tool that generates SVG and PNG technical diagrams from natural language descriptions, supporting both English and Chinese input. It produces publication-quality diagrams for AI architectures, UML types, and other technical domains without requiring manual drawing or diagramming syntax. The tool distinguishes itself through a semantic shape vocabulary and arrow-based flow encoding that conveys component roles and data flow types through consistent geometric shapes, stroke widths, dash patterns, and colors rather than relying on textual labels. It renders the same dia

    Encodes flow types with line width, dash pattern, and color for clear communication in diagrams.

    Pythonagent-workflowsaiclaude-code
    Vezi pe GitHub↗8,048
  • feast-dev/feastAvatar feast-dev

    feast-dev/feast

    6,727Vezi pe GitHub↗

    Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

    Converts feature retrieval query results into Apache Arrow tables for efficient columnar processing.

    Pythonbig-datadata-engineeringdata-quality
    Vezi pe GitHub↗6,727
  • greptimeteam/greptimedbAvatar GreptimeTeam

    GreptimeTeam/greptimedb

    5,968Vezi pe 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

    Aggregates multiple tables and sends them in a single gRPC request using Arrow IPC.

    Rustanalyticscloud-nativedatabase
    Vezi pe GitHub↗5,968
  1. Home
  2. Data & Databases
  3. Apache Arrow Processing
  4. Arrow Table Exports

Explorează sub-etichetele

  • Arrow-Encoded Bulk WritesAggregating data from multiple tables on the client side and sending them in a single gRPC request using Arrow IPC for maximum throughput. **Distinct from Arrow Table Exports:** Distinct from Arrow Table Exports: focuses on writing data to the database using Arrow encoding, not exporting query results to Arrow tables.