20 数据可观测性软件 提供联盟计划的 SaaS 产品列表
数据可观测性软件 中有 20 个 SaaS 或软件联盟计划。 平均价格介于 - 之间。 平均域名排名在 11 和 42 之间。 典型的联盟佣金范围从 18% 到 23%。 0% 提供一次性佣金，100% 提供定期佣金。 SaaS Browser 会扫描互联网以查找所有 SaaS 产品，并每月验证联盟计划以确保其新鲜度。 查看所有 32,397 SaaS 联盟计划
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OpenSearch is an open-source, high-performance search and analytics platform designed to process and analyze large volumes of unstructured or structured data, making complex data search, visualization, monitoring, and security analytics more accessible and efficient. Its key features include a scalable search engine built on Apache Lucene, an integrated data visualization and exploration dashboard, machine learning and AI capabilities such as anomaly detection and vector search, and tools for data ingestion, transformation, performance measurement, and security threat monitoring, serving data scientists, developers, IT operations, security teams, and enterprise organizations seeking robust, customizable, and community-supported data solutions.
Data Observability Software
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IOMETE is a self-hosted data lakehouse platform designed for organizations that need full control over their data while ensuring security and compliance. It offers flexible deployment options, advanced data management features, and cost-efficient solutions tailored for large enterprises in regulated industries.
Data Observability Software
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Bigeye offers enterprise-grade data observability solutions for both modern and legacy data environments. With features like AI-driven anomaly detection and comprehensive data lineage, it ensures that businesses can rely on accurate and timely data for their operations.
Data Observability Software
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Validio is a data trust platform that helps businesses act on their data by providing real-time insights and monitoring. It ensures data quality and observability, allowing organizations to quickly identify and resolve issues, empowering teams to make informed decisions.
Data Observability Software
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Braun, Langosh and Langworth Max
这款 SaaS 很火爆！我们检测到月流量在增长。A unified real-time data management platform streamlines the governance, observability, and secure access of data streams, transforming operational data into business-ready products that enhance application performance and collaboration. Key features include multi-protocol support for seamless integration, extreme performance capabilities for managing high throughput with low latency, and a self-service catalog for easy discovery and deployment of data products, making it ideal for organizations across various industries seeking to optimize their data streaming initiatives.
This platform provides comprehensive solutions for real-time data quality monitoring, anomaly detection, data lineage, and asset insights to ensure data accuracy, transparency, and integrity across various industries and applications. Its main features include automated anomaly detection powered by machine learning, root cause analysis with lineage tracing, seamless integrations with existing data stacks, secure deployment options, and compliance with industry standards, all designed to resolve data discrepancies, improve data trustworthiness, and enhance decision-making for data teams, data scientists, regulatory officers, and business analysts.
Data Observability Software
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A comprehensive data quality and observability platform that continuously monitors data pipelines, detects anomalies across the data stack in real time, provides end-to-end lineage from source to report, and uses AI-powered monitoring to learn trends, backfill historical data, adjust dynamic thresholds, and alert teams to quality issues before they impact analytics, dashboards, ML models, and business metrics. It offers data asset discovery and catalog insights, automated anomaly detection, alerting and issue management, root-cause analysis, and strong security and compliance with ISO 27001 and SOC 2, plus deployment options from cloud to self-hosted in a VPC, with broad integrations across a modern data stack, enabling data engineers, data scientists, analysts, product teams, and data-driven organizations in industries such as banking, manufacturing, logistics, software, gaming, and more to stay ahead of data quality and regulatory requirements.
Data Observability Software
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Zilla Data Platform
这款 SaaS 很火爆！我们检测到月流量在增长。A unified real-time data management platform streamlines the governance, observability, and secure access of data streams, transforming operational data into business-ready products that enhance application performance and collaboration. Key features include multi-protocol support for seamless integration, extreme performance capabilities for managing high throughput with low latency, and a self-service catalog for easy discovery and deployment of data products, making it ideal for organizations across various industries seeking to optimize their data streaming initiatives.
Data Observability Software
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PoolParty
这款 SaaS 很火爆！我们检测到月流量在增长。PoolParty Semantic Suite is a powerful platform designed to help users manage and understand their data through semantic technology. It offers tools for classification, linking, and analyzing data, making it easier to build intelligent applications and systems.
Data Observability Software
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Bigeye
这款 SaaS 很火爆！我们检测到月流量在增长。Bigeye offers enterprise-grade data observability for both modern and legacy data stacks, ensuring reliable data through AI-driven anomaly detection and comprehensive lineage. The platform provides tools for monitoring critical data products, resolving issues quickly, and integrating seamlessly with various data sources.
Data Observability Software
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oxData offers powerful data analytics and customizable trading strategies for stock and crypto traders. With real-time alerts and access to diverse data sources, users can make informed decisions and enhance their trading efficiency.
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