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Show Your Stack Who’s Boss
Unified data observability that packs a three-in-one punch. From data discovery to integrated monitoring and troubleshooting capabilities, you’ll be the one in charge.
Seamlessly connect with all your favorite data tools to centralize insights and unlock the full potential of your data ecosystem.
Join the ranks of happy customers who’ve made Sifflet a G2 leader, trusted for its innovation and impact
Stay ahead of issues with real-time alerts that keep you informed and in control of your data health
Organize, discover, and leverage your data assets effortlessly with a smart, searchable catalog built for modern teams.
Harness the power of AI-driven suggestions to improve efficiency, accuracy, and decision-making across your workflows.
Empower your team with tailored access, enabling secure collaboration that drives smarter decisions.
Frequently asked questions
Is this feature scalable for large datasets and multiple data assets?
Yes, it is! With Sifflet’s auto-coverage and observability tools, you can monitor distribution deviation at scale with just a few clicks. Whether you're working with batch data observability or streaming data monitoring, Sifflet has you covered with automated, scalable insights.
What kind of data quality monitoring does Sifflet offer when used with dbt?
When paired with dbt, Sifflet provides robust data quality monitoring by combining dbt test insights with ML-based rules and UI-defined validations. This helps you close test coverage gaps and maintain high data quality throughout your data pipelines.
What does Full Data Stack Observability mean?
Full Data Stack Observability means having complete visibility into every layer of your data pipeline, from ingestion to business intelligence tools. At Sifflet, our observability platform collects signals across your entire stack, enabling anomaly detection, data lineage tracking, and real-time metrics collection. This approach helps teams ensure data reliability and reduce time spent firefighting issues.
Why is data observability becoming more important than just monitoring?
As data systems grow more complex with cloud infrastructure and distributed pipelines, simple monitoring isn't enough. Data observability platforms like Sifflet go further by offering data lineage tracking, anomaly detection, and root cause analysis. This helps teams not just detect issues, but truly understand and resolve them faster—saving time and avoiding costly outages.
Why is data reliability more important than ever?
With more teams depending on data for everyday decisions, data reliability has become a top priority. It’s not just about infrastructure uptime anymore, but also about ensuring the data itself is accurate, fresh, and trustworthy. Tools for data quality monitoring and root cause analysis help teams catch issues early and maintain confidence in their analytics.
How does Sifflet use AI to improve data observability?
At Sifflet, we're integrating advanced AI models into our observability platform to enhance data quality monitoring and anomaly detection. Marie, our Machine Learning Engineer, has been instrumental in building intelligent systems that automatically detect issues across data pipelines, making it easier to maintain data reliability in real time.
How does the shift to poly cloud impact observability platforms?
The move toward poly cloud environments increases the complexity of monitoring, but observability platforms are evolving to unify insights across multiple cloud providers. This helps teams maintain SLA compliance, monitor ingestion latency, and ensure data reliability regardless of where workloads are running.
How does Sifflet ensure a user-friendly experience for data teams?
We prioritize user research and apply UX principles like Jacob’s Law to design familiar and intuitive workflows. This helps reduce friction for users working with tools like our Sifflet Insights plugin, which brings real-time metrics and data quality monitoring directly into BI dashboards like Looker and Tableau.
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Data Observability is Now
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Make Data Observability Everyone’s Business
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