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3 repository-uri

Awesome GitHub RepositoriesPostgreSQL Data Sinks

Components for storing observability data in PostgreSQL databases with batching and delivery guarantees.

Distinct from PostgreSQL Vector Stores: Distinct from PostgreSQL Vector Stores: focuses on general observability data storage rather than vector-specific extensions.

Explore 3 awesome GitHub repositories matching data & databases · PostgreSQL Data Sinks. Refine with filters or upvote what's useful.

Awesome PostgreSQL Data Sinks GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • vectordotdev/vectorAvatar vectordotdev

    vectordotdev/vector

    22,071Vezi pe GitHub↗

    Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

    Writes logs, metrics, and traces into PostgreSQL databases using configurable batching and delivery guarantees.

    Rusteventsforwarderhacktoberfest
    Vezi pe GitHub↗22,071
  • arize-ai/phoenixAvatar Arize-ai

    Arize-ai/phoenix

    8,605Vezi pe GitHub↗

    Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments. The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and

    Implements PostgreSQL data sinks to store telemetry and observability data with scalable ingestion.

    Jupyter Notebookagentsai-monitoringai-observability
    Vezi pe GitHub↗8,605
  • dimitri/pgloaderAvatar dimitri

    dimitri/pgloader

    6,295Vezi pe GitHub↗

    pgloader is a command-line tool that automates the migration of data and schema from various source databases and file formats into PostgreSQL. It combines schema discovery, parallel data pipelines, and type casting into a single, declarative workflow, using PostgreSQL's COPY protocol for high-throughput bulk loading. The tool distinguishes itself by compiling a dedicated command language into concurrent reader-writer pipelines that handle schema introspection, data transformation, and error-resilient batch processing. It supports migrating entire databases from MySQL, MS SQL, SQLite, and Pos

    Automates migration of SQLite databases into PostgreSQL with schema discovery and index creation.

    Common Lispclozure-clcommon-lispcsv
    Vezi pe GitHub↗6,295
  1. Home
  2. Data & Databases
  3. Database Management Systems
  4. Database Engines
  5. Vector Databases
  6. PostgreSQL Vector Stores
  7. PostgreSQL Data Sinks

Explorează sub-etichetele

  • SQLite to PostgreSQL MigrationsAutomated migration of entire SQLite databases into PostgreSQL, including schema discovery and index creation. **Distinct from PostgreSQL Data Sinks:** Distinct from PostgreSQL Data Sinks: focuses on the migration path from SQLite, not general data storage.