فهرست 12 پلتفرم‌های انبار داده و دریاچه داده SaaS با برنامه‌های باگ بانتی

تعداد 12 محصول SaaS یا نرم‌افزاری با برنامه‌های باگ بانتی پرداختی در پلتفرم‌های انبار داده و دریاچه داده وجود دارد. میانگین محدوده پرداخت $50 تا $10,250 است. SaaS Browser اینترنت را اسکن می‌کند تا تمام SaaS را پیدا کند و کشف کند کدام‌ها برنامه‌های باگ بانتی دارند، به طور منظم به‌روزرسانی می‌شود تا تازگی داده‌ها تضمین شود. مشاهده همه 1,405 برنامه‌های باگ بانتی SaaS

نمایش فیلترها

2 فیلتر اعمال شد · پاک کردن همه · ذخیره

دسته بندی: پلتفرم‌های انبار داده و دریاچه داده

باگ بانتی: بله

فیلترهای پیشرفته

ایکس

فیلترهای باگ بانتی (رایگان)

دارای باگ بانتی

باگ بانتی پولی

محدوده پاداش باگ بانتی

واحد پول باگ بانتی

دامنه باگ بانتی

باگ بانتی کشف‌شده بعد از

باگ بانتی کشف‌شده قبل از

قیمت

قیمت ارز

دسته‌ها

مرور دسته‌ها

از هوش مصنوعی استفاده می‌کند

رشد کلمات کلیدی تبلیغاتی (%)

دامنه‌های ارجاع‌دهنده

Locked

رشد دامنه‌های مرجع (%)

دارای برنامه همکاری در فروش

دارای افزونه فایرفاکس

متوقف شده / از کار افتاده

Locked

نتایج دانلود

Alation

A comprehensive data management platform leverages advanced automation, artificial intelligence, and scalable architecture to facilitate efficient data governance, integration, and warehousing, thereby enabling organizations to organize, protect, and utilize data assets effectively. It offers key features such as outcome-based governance automation, hybrid and multi-modal search support, AI-powered curation, real-time data streaming, and user-friendly interfaces, addressing challenges related to data quality, accessibility, compliance, and decision-making. Designed for data professionals, business analysts, IT leaders, and data governance teams, this platform aims to solve problems like data silos, long data processing times, regulatory compliance, and ensuring data-driven insights for strategic planning and operational resilience.

برای مشاهده همه معیارها ثبت نام کنید

Datavolo

Datavolo offers a powerful solution for managing unstructured data, enabling users to create flexible and reusable data pipelines for generative AI. With fast setup and real-time updates, Datavolo simplifies data integration and enhances the ability to leverage data effectively.

برای مشاهده همه معیارها ثبت نام کنید

Astronomer

دوره آزمایشی رایگان

A unified data operations platform streamlines the management of data workflows, enabling teams to build, run, and monitor data pipelines efficiently. Key features include fully-managed orchestration powered by a popular workflow automation tool, built-in observability for tracking data lineage and performance, and an intuitive integrated development environment that accelerates pipeline creation, making it ideal for data engineers, data scientists, and analytics teams seeking to enhance productivity and ensure data quality.

برای مشاهده همه معیارها ثبت نام کنید

Cloudera

دوره آزمایشی رایگان

A comprehensive platform designed for data management and artificial intelligence facilitates the integration, analysis, and visualization of data across various environments. Key features include real-time data ingestion, automated data engineering, scalable analytics, and support for machine learning, addressing challenges such as data silos, compliance, and the need for actionable insights, making it suitable for organizations across diverse industries seeking to leverage their data for strategic decision-making.

برای مشاهده همه معیارها ثبت نام کنید

Honeydew

Honeydew offers a native semantic layer for Snowflake, ensuring that core business metrics such as Active Users, Churn, and Revenue are consistent and reusable across various platforms. By automating technical processes and fostering collaboration, Honeydew empowers teams to create a centralized source of truth, enhancing data accessibility and reliability for analysts and engineers alike.

برای مشاهده همه معیارها ثبت نام کنید

Prefect

An open-source, production-ready automation and orchestration platform that unifies data, machine learning, and agent workflows under a single control plane, enabling reliable, scalable pipelines to run where your data resides. Key features include Python-based orchestration with simple decorators, durable exactly-once execution with persistent artifacts, event-driven automation, rich observability with detailed logs and timelines, portable work pools across containerized runtimes, managed orchestration platforms, and serverless backends, hybrid execution that keeps data in your environment, and robust governance with SSO, RBAC, audit trails, plus native data lineage; it serves data engineers, data scientists, ML engineers, platform teams, and developers who need dependable, auditable, and compliant workflow management for data pipelines, analytics, and ML workloads.

برای مشاهده همه معیارها ثبت نام کنید

Dremio

دوره آزمایشی رایگان

This platform functions as a comprehensive, open, and scalable data lakehouse solution designed to unify, query, and manage large volumes of structured and unstructured data across hybrid, multi-cloud, and on-premise environments. Its main features include a semantic layer powered by AI for contextual data understanding, open catalog support with role-based governance, high-performance autonomous query engine leveraging Apache Arrow, zero ETL data federation, and automatic data clustering and caching, which collectively solve problems related to data silos, slow query performance, high costs, and complex data governance for data engineers, analysts, data scientists, and enterprise organizations seeking efficient and reliable data analytics and AI integration.

برای مشاهده همه معیارها ثبت نام کنید

Cribl

دوره آزمایشی رایگان

A comprehensive data architecture solution streamlines the management and transformation of diverse data types, enabling organizations to efficiently onboard, route, reduce, replay, and visualize logs, metrics, and traces. Key features include centralized data routing, flexible transformation capabilities, and seamless integration with existing tools, addressing challenges related to data complexity and control, making it ideal for IT and security professionals seeking enhanced data intelligence and operational efficiency.

برای مشاهده همه معیارها ثبت نام کنید

MongoDB Atlas

دوره آزمایشی رایگان

A versatile platform designed for managing and analyzing diverse data types, it enables users to consolidate structured and unstructured information into a single, flexible system. Key features include support for vector search, real-time stream processing, and a unified query API, addressing challenges such as data fragmentation and scalability, making it ideal for developers, enterprises, and organizations seeking to build intelligent applications and enhance data-driven decision-making.

برای مشاهده همه معیارها ثبت نام کنید

Keboola

دوره آزمایشی رایگان

A unified platform streamlines data operations, enabling users to manage, integrate, and analyze data efficiently without the need for extensive storage solutions. Key features include easy setup, automation capabilities, and a wide range of integrations, which collectively address challenges such as data silos, inefficient workflows, and the need for real-time insights, making it ideal for businesses seeking to enhance their data-driven decision-making processes.

برای مشاهده همه معیارها ثبت نام کنید

* ممکن است برخی یا تمام بخش‌های این صفحه توسط هوش مصنوعی تولید شده باشند، بنابراین لطفاً هرگونه اطلاعات مهم را به‌طور مستقل تأیید کنید.

فهرست 12 پلتفرم‌های انبار داده و دریاچه داده SaaS با برنامه‌های باگ بانتی

فیلترهای پیشرفته

نتایج دانلود

ذخیره جستجوی فعلی