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14 repository-uri

Awesome GitHub RepositoriesEnterprise Data Platforms

Comprehensive data management systems designed for high-scale, regulated production environments with built-in security and auditing.

Distinct from Enterprise Data Services: Distinct from Enterprise Data Services: focuses on the platform as a complete database system rather than just connectors or integration services.

Explore 14 awesome GitHub repositories matching data & databases · Enterprise Data Platforms. Refine with filters or upvote what's useful.

Awesome Enterprise Data Platforms GitHub Repositories

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

    pankod/refine

    34,909Vezi pe GitHub↗

    Refine is a React-based framework for building data-intensive internal tools, admin panels, and B2B applications. It functions as a data-driven UI library and a headless admin panel generator that connects frontends to external backend services using standardized logic for state management and network request handling. The project decouples business logic from the presentation layer, allowing any custom design system or interface library to be applied to the application. It includes a CRUD application generator that automatically creates user interfaces for managing records based on the struc

    Enables the construction of centralized tools for monitoring record changes and managing large-scale enterprise datasets.

    TypeScript
    Vezi pe GitHub↗34,909
  • mongodb/mongoAvatar mongodb

    mongodb/mongo

    28,158Vezi pe GitHub↗

    This project is a distributed, document-oriented database system designed to store information in flexible, hierarchical structures. It supports horizontal scaling through automated sharding and maintains high availability across global clusters using a multi-node replication protocol. By executing multi-document operations as atomic units, the system ensures data integrity and consistency across distributed environments. The platform distinguishes itself by integrating advanced vector-based indexing, which enables semantic similarity searches alongside traditional geospatial and lexical quer

    Provides a secure, enterprise-grade data platform with granular access controls, encryption, and auditing for regulated production environments.

    C++c-plus-plusdatabasemongodb
    Vezi pe GitHub↗28,158
  • nocobase/nocobaseAvatar nocobase

    nocobase/nocobase

    21,542Vezi pe GitHub↗

    This platform is a modular, metadata-driven framework designed for building custom business applications and data management systems without traditional coding. It functions as a low-code environment where data models, user interfaces, and business logic are defined through visual configurations rather than hardcoded views. The architecture supports multi-tenant isolation, allowing multiple independent applications to run within a single shared memory space while maintaining strict logical separation of data and configurations. What distinguishes this system is its deep integration of artific

    Provides a centralized platform for defining relational data models, connecting external databases, and visualizing information through interactive dashboards.

    TypeScriptadmin-dashboardairtableapp-builder
    Vezi pe GitHub↗21,542
  • airbytehq/airbyteAvatar airbytehq

    airbytehq/airbyte

    21,472Vezi pe GitHub↗

    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

    Synchronizes data between diverse applications, databases, and warehouses using a library of pre-built and custom connectors.

    Pythonbigquerychange-data-capturedata
    Vezi pe GitHub↗21,472
  • semi-technologies/weaviateAvatar semi-technologies

    semi-technologies/weaviate

    16,337Vezi pe GitHub↗

    Weaviate is a cloud-native vector database and distributed vector store designed to save high-dimensional vectors alongside structured data. It functions as a hybrid search engine that combines vector similarity, keyword matching, and structured metadata filtering within a single query. The system is optimized for retrieval-augmented generation, integrating vector search with generative AI and reranking to power question-and-answer workflows. It distinguishes itself through the ability to merge semantic search with traditional keyword queries and structured metadata filters to improve result

    Provides an enterprise-grade platform with role-based access control and multi-tenancy for secure organizational search.

    Go
    Vezi pe GitHub↗16,337
  • datahub-project/datahubAvatar datahub-project

    datahub-project/datahub

    12,141Vezi pe GitHub↗

    DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono

    Ingests and structures metadata from diverse data stores and query histories to create a centralized, searchable knowledge base for organizational data.

    Pythondata-catalogdata-discoverydata-governance
    Vezi pe GitHub↗12,141
  • pachyderm/pachydermAvatar pachyderm

    pachyderm/pachyderm

    6,292Vezi pe GitHub↗

    Pachyderm is a containerized, versioned, and lineage-tracked data pipeline platform that runs natively on Kubernetes. It combines a distributed file system backend with immutable data versioning, so every commit to a data repository creates an auditable snapshot, and every pipeline step executes as an isolated container. The platform is defined by a data-centric pipeline model where pipelines are specified by their input and output data repositories rather than explicit task sequences, and provenance is recorded as a directed acyclic graph of commits linking output data to its input sources an

    Provisioning a complete, scalable data pipeline infrastructure on cloud Kubernetes for enterprise-grade data processing workloads.

    Go
    Vezi pe GitHub↗6,292
  • fleetdm/fleetAvatar fleetdm

    fleetdm/fleet

    6,058Vezi pe GitHub↗

    Fleet is an open-source device management platform that provides centralized control over computing devices running macOS, Linux, Windows, Chromebooks, iOS, and Android. It enables organizations to enroll devices, collect real-time telemetry, enforce security compliance policies, and manage software remotely from a single system. The platform can be deployed as a single binary, run locally for testing, or scaled horizontally across cloud infrastructure on AWS, Kubernetes, GCP, or Render, with support for high availability through database replication and load balancing. The platform distingui

    Exports data to enterprise platforms like Snowflake, Splunk, GitHub Actions, and Jira for workflow automation.

    Gobinary-authorizationconfiguration-managementdevice-management
    Vezi pe GitHub↗6,058
  • infinyon/fluvioAvatar infinyon

    infinyon/fluvio

    5,231Vezi pe GitHub↗

    Fluvio este o platformă distribuită de streaming de evenimente și un motor de streaming cloud-native conceput pentru colectarea, persistența și replicarea fluxurilor de date în timp real într-un cluster distribuit. Funcționează ca un pipeline de date în timp real pentru construirea fluxurilor de lucru cu stare care ingerează, îmbogățesc și exportă date între surse și destinații externe. Platforma se distinge prin utilizarea WebAssembly pentru a executa module compilate pentru transformări și filtrare de date în linie. Acest lucru permite execuția logicii de business personalizate pentru a remodela informațiile în mișcare fără a necesita o repornire a clusterului. Sistemul acoperă o gamă largă de capabilități, inclusiv ingestia de date bazată pe conectori din protocoale externe, stocare imutabilă structurată pe log-uri cu IO de tip zero-copy și scalarea orizontală a clusterului. Suportă crearea de pipeline-uri complexe bazate pe evenimente care utilizează procesarea cu stare, agregări pe ferestre și distribuția datelor bazată pe partiții. Motorul poate fi implementat ca un binar ușor pe diverse arhitecturi de sistem, inclusiv dispozitive IoT ARM64 pentru procesarea datelor la margine (edge).

    Pushes processed information to external databases, object storage, and search engines via outbound connectors.

    Rust
    Vezi pe GitHub↗5,231
  • jaypyles/scraperrAvatar jaypyles

    jaypyles/Scraperr

    4,897Vezi pe GitHub↗

    Scraperr is a self-hosted web scraping and crawling platform designed for extracting structured data from websites using XPath selectors. It functions as a containerized system for managing scraping jobs through a queue and analyzing the resulting content using artificial intelligence. The project differentiates itself through its Kubernetes-native architecture, allowing for scalable deployment and management via package managers. It includes a crawling engine capable of domain-level spidering to discover linked pages and a data analyzer that uses artificial intelligence to query extracted we

    Implements a containerized scraping platform designed specifically for scalable orchestration on Kubernetes.

    TypeScriptdockerhelmkubernetes
    Vezi pe GitHub↗4,897
  • briefercloud/brieferAvatar briefercloud

    briefercloud/briefer

    4,308Vezi pe GitHub↗

    Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati

    Deployable via Helm as a Kubernetes-native data platform that manages isolated compute environments.

    TypeScriptanalyticsbibigquery
    Vezi pe GitHub↗4,308
  • vdaas/valdAvatar vdaas

    vdaas/vald

    1,706Vezi pe GitHub↗

    Vald is a distributed, cloud-native search engine designed for high-dimensional vector data. It functions as an approximate nearest neighbor search platform, enabling the identification of similar data points across massive datasets through horizontal scaling and distributed indexing. The system is built for container orchestration environments, utilizing custom resource controllers to automate cluster lifecycle management and infrastructure state. It employs graph-based indexing to perform rapid similarity lookups and supports zero-downtime operations by decoupling index construction from qu

    Provides a resilient, cloud-native infrastructure for managing and querying vector indices with zero-downtime updates.

    Goanngapproximate-nearest-neighbor-searchcloud
    Vezi pe GitHub↗1,706
  • tduckcloud/tduck-survey-formAvatar TDuckCloud

    TDuckCloud/tduck-survey-form

    1,224Vezi pe GitHub↗

    Acest proiect este o platformă open-source, self-hosted, concepută pentru colectarea de date la nivel enterprise, crearea de sondaje și fluxuri de lucru operaționale automatizate. Oferă un mediu complet pentru ca organizațiile să își mențină suveranitatea deplină asupra datelor, gestionând în același timp chestionare interactive, examene online și proiecte complexe de colectare a informațiilor în propria infrastructură privată. Platforma se distinge printr-un accent pe deployment scalabil, cu concurență ridicată și control organizațional granular. Dispune de un constructor dinamic drag-and-drop care suportă ramificări bazate pe logică și generare de conținut asistată de AI, permițând crearea de formulare sofisticate care se adaptează la input-ul utilizatorului. Dincolo de simpla introducere a datelor, sistemul integrează capabilități avansate de business, cum ar fi fluxuri de aprobare în mai multe etape, procesarea securizată a plăților și generarea automată de documente, toate gestionate printr-un sistem centralizat de control al accesului bazat pe roluri. Sistemul acoperă o suprafață largă de capabilități, inclusiv gestionarea datelor în timp real, distribuția pe mai multe platforme și instrumente specializate pentru evaluarea talentelor și programarea resurselor. Suportă diverse backend-uri de stocare și oferă o monitorizare robustă a trimiterilor, asigurându-se că informațiile colectate rămân securizate și accesibile pentru analiză. Aplicația este concepută pentru deployment containerizat, simplificând procesul de configurare pentru medii de cloud privat sau on-premises.

    Provides an enterprise-grade system for managing form submissions, approvals, and reporting within private infrastructure.

    Javaquestionnairesurveysurvey-form
    Vezi pe GitHub↗1,224
  • rheosoph/flow-likeAvatar Rheosoph

    Rheosoph/flow-like

    899Vezi pe GitHub↗

    Flow-like is a workflow orchestration engine designed for building and executing strictly typed automated processes. It provides a secure, sandboxed runtime environment that supports the integration of local artificial intelligence models, allowing for the processing of data entirely on host hardware without reliance on external cloud services. The platform distinguishes itself through its event-sourced execution tracing, which records every state change and data movement to enable full auditability and the replay of past processes. It combines this with a hybrid storage system that integrate

    Manages large-scale information processing with built-in audit logging and execution tracing for complex logic flows.

    Rustagentsaiapis
    Vezi pe GitHub↗899
  1. Home
  2. Data & Databases
  3. Enterprise Data Services
  4. Enterprise Data Platforms

Explorează sub-etichetele

  • Data Collection SystemsBusiness-grade platforms for managing high-volume form submissions and automated operational workflows. **Distinct from Enterprise Data Platforms:** Distinct from general data platforms: focuses on the application-level management of form-based data collection and approval workflows.
  • Data Export ConnectorsMechanisms for exporting data to enterprise platforms like Snowflake, Splunk, and Jira for workflow automation. **Distinct from Enterprise Data Platforms:** Distinct from Enterprise Data Platforms: focuses on outbound data export connectors rather than the platforms themselves.
  • Kubernetes-Native Data PlatformsEnterprise-grade data pipeline platforms deployed on Kubernetes for scalable, production data processing. **Distinct from Enterprise Data Platforms:** Distinct from Enterprise Data Platforms: focuses on Kubernetes-native orchestration and pipeline automation rather than general database management.
  • Metadata Knowledge BasesIngests and structures metadata from diverse data stores and query histories into a centralized knowledge base. **Distinct from Enterprise Data Platforms:** Focuses on the creation of a searchable knowledge base from metadata rather than the platform infrastructure itself.