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8 repository-uri

Awesome GitHub RepositoriesCassandra Connectors

SQL interfaces for querying and mapping data from Cassandra or ScyllaDB clusters.

Distinct from SQL Query Interfaces: Distinct from general SQL query interfaces: focuses on Cassandra-specific data mapping and connectivity.

Explore 8 awesome GitHub repositories matching data & databases · Cassandra Connectors. Refine with filters or upvote what's useful.

Awesome Cassandra Connectors GitHub Repositories

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

    winstonjs/winston

    24,478Vezi pe GitHub↗

    Winston is a versatile logging library for Node.js designed to record system events and metadata. It functions as a multi-transport log manager that routes data to various destinations and a structured log formatter that transforms entries into JSON or plain text. The project is distinguished by its pluggable transport architecture, which decouples the logging interface from delivery mechanisms. This allows for the creation of custom transport extensions and the use of hierarchical logger instances to inherit configurations while attaching persistent metadata to downstream messages. The libr

    Implements a connector for writing log entries to Cassandra column families.

    JavaScript
    Vezi pe GitHub↗24,478
  • prestodb/prestoAvatar prestodb

    prestodb/presto

    16,711Vezi pe GitHub↗

    Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

    Connects to Cassandra or ScyllaDB clusters to perform SQL queries and map native data types.

    Javabig-datadatahadoop
    Vezi pe GitHub↗16,711
  • scylladb/scyllaAvatar scylladb

    scylladb/scylla

    15,609Vezi pe GitHub↗

    Scylla is a distributed wide column NoSQL database designed as a high-performance data store. It functions as a Cassandra compatible database and a DynamoDB compatible store, implementing a shared-nothing architecture built on an asynchronous event-driven framework. The system emulates cloud-based APIs to support applications built for proprietary cloud protocols and implements the Cassandra Query Language for high-throughput workloads. This allows for the migration of cloud workloads to self-hosted environments while maintaining API compatibility. The project covers distributed data storage

    Provides compatibility with Cassandra connectors for seamless data migration and tool integration.

    C++
    Vezi pe GitHub↗15,609
  • pinpoint-apm/pinpointAvatar pinpoint-apm

    pinpoint-apm/pinpoint

    13,830Vezi pe GitHub↗

    Pinpoint is a distributed application performance management tool designed to trace requests and monitor metrics across large-scale distributed architectures. It functions as a request tracer, topology mapper, and JVM application monitor, providing a backend capable of collecting and visualizing trace data from OpenTelemetry compatible sources. The system distinguishes itself through a combination of bytecode-based instrumentation via a Java agent and topology-based visualization that renders live maps of service interconnections. It captures execution flow across asynchronous boundaries, suc

    Captures and analyzes the execution of queries sent through the Cassandra JDBC driver.

    Javaagentapmdistributed-tracing
    Vezi pe GitHub↗13,830
  • 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

    Materializes feature values into Cassandra tables for low-latency online serving.

    Pythonbig-datadata-engineeringdata-quality
    Vezi pe GitHub↗6,727
  • iamtomshaw/f1-race-replayAvatar IAmTomShaw

    IAmTomShaw/f1-race-replay

    6,043Vezi pe GitHub↗

    f1-race-replay is a Python application for rendering interactive Formula 1 race events and driver positions on a track map. It serves as a telemetry analysis dashboard and an interactive race replay system for monitoring real-time driver speed, gear, and DRS status. The project provides a live race leaderboard to track driver standings, tyre compounds, and retirement status. It features a playback tool with navigation controls for simulating race sequences and driver movements, including the animation of safety car deployments. The software covers telemetry visualization and race event simul

    Displays real-time speed, gear, DRS status, and lap information for selected drivers during a session.

    Pythonf1formula1formula1-data-analysis
    Vezi pe GitHub↗6,043
  • theoehrly/fast-f1Avatar theOehrly

    theOehrly/Fast-F1

    5,151Vezi pe GitHub↗

    Fast-F1 este o bibliotecă de date Python și un analizor de telemetrie conceput pentru Formula 1. Servește ca un wrapper API programatic pentru a prelua și procesa date de timing, rezultate ale sesiunilor și metrici ale senzorilor vehiculului de înaltă frecvență. Proiectul oferă instrumente specializate pentru benchmarking-ul performanței în motorsport și vizualizare. Permite compararea telemetriei vehiculului, cum ar fi urmele de viteză și schimbările de viteză, și generează hărți spațiale ale circuitului cu suprapuneri de viteză și viraje. Biblioteca acoperă o gamă largă de capabilități de recuperare și analiză a datelor, inclusiv extracția programelor de curse, a clasamentelor campionatului și a metadatelor circuitelor. Suportă monitorizarea activității curselor live și a mesajelor de control al cursei, utilizând în același timp cache-ul pe disc local pentru a minimiza request-urile de rețea în timpul încărcării datelor.

    Calculates driver metrics and lap consistency by applying mathematical operations across entire telemetry arrays.

    Python
    Vezi pe GitHub↗5,151
  • datlechin/tableproAvatar datlechin

    datlechin/TablePro

    4,471Vezi pe GitHub↗

    TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

    Connects to Cassandra and ScyllaDB clusters using native protocols and authentication.

    Swift
    Vezi pe GitHub↗4,471
  1. Home
  2. Data & Databases
  3. SQL Query Interfaces
  4. Cassandra Connectors

Explorează sub-etichetele

  • Cassandra Feature Readers1 sub-tagRetrieving stored feature values from Cassandra tables for low-latency online inference. **Distinct from Cassandra Connectors:** Distinct from Cassandra Connectors: focuses on reading ML feature values for inference, not general SQL querying or data mapping.
  • Driver Execution Analysis1 sub-tagCapturing and analyzing the execution of queries passing through specific database drivers. **Distinct from Cassandra Connectors:** Focuses on the observability of the driver execution rather than the connector's data mapping capabilities.