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5 个仓库

Awesome GitHub RepositoriesAnalytics Integrations

Connectors and interfaces for linking databases with external business intelligence tools.

Distinguishing note: Focuses on external integration rather than internal analytics features.

Explore 5 awesome GitHub repositories matching data & databases · Analytics Integrations. Refine with filters or upvote what's useful.

Awesome Analytics Integrations GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • taosdata/tdenginetaosdata 的头像

    taosdata/TDengine

    24,734在 GitHub 上查看↗

    TDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi

    Connects to external analytics platforms for advanced reporting and business intelligence.

    Cbigdatacloud-nativecluster
    在 GitHub 上查看↗24,734
  • airbytehq/airbyteairbytehq 的头像

    airbytehq/airbyte

    21,472在 GitHub 上查看↗

    Airbyte is a data integration platform designed to synchronize information between diverse applications, databases, and data warehouses. It functions as an extract, transform, and load orchestrator that manages automated data movement workflows across cloud, on-premise, and hybrid environments. The platform provides a standardized interface for connectors, enabling the movement of structured and unstructured data while maintaining stateful checkpoints for reliable incremental syncing. The platform distinguishes itself through a containerized architecture that isolates connectors to prevent de

    Provides cached data in formats compatible with external analytics and intelligence frameworks.

    Pythonbigquerychange-data-capturedata
    在 GitHub 上查看↗21,472
  • dbt-labs/dbt-coredbt-labs 的头像

    dbt-labs/dbt-core

    13,051在 GitHub 上查看↗

    dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d

    Links the transformation layer with external analytics tools to provide universal access to governed business metrics.

    Rustanalyticsbusiness-intelligencedata-modeling
    在 GitHub 上查看↗13,051
  • hermanmartinus/bearblogHermanMartinus 的头像

    HermanMartinus/bearblog

    4,721在 GitHub 上查看↗

    Bear Blog is a lightweight, self-hosted blogging platform that compiles Markdown files into static HTML pages at build time without requiring a database. It focuses on minimal publishing workflows with full visual customization through built-in themes and custom CSS, including dark mode support. The platform distinguishes itself with bot-neutral readership tracking that only counts page views when a visitor scrolls or hovers, ensuring metrics exclude automated traffic. It supports multilingual site deployments as either separate independent instances or tag-based language versions, and offers

    Allows replacing default analytics with a third-party provider by adding a site ID for deeper metrics like bounce rate.

    CSS
    在 GitHub 上查看↗4,721
  • ravendb/ravendbravendb 的头像

    ravendb/ravendb

    3,961在 GitHub 上查看↗

    RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

    Connects to external analytics platforms using standard protocols to import and visualize stored data.

    C#csharpdatabasedocument-database
    在 GitHub 上查看↗3,961
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