Solution by Use Case

Cost Observability

Cost-efficient data pipelines

Pinpoint cost inefficiencies and anomalies thanks to full-stack data observability.

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Data asset optimization

Leverage lineage and Data Catalog to pinpoint underutilized assets
Get alerted on unexpected behaviors in data consumption patterns

Proactive data pipeline management

Proactively prevent pipelines from running in case a data quality anomaly is detected

Sifflet’s AI Helps Us Focus on What Moves the Business

What impressed us most about Sifflet’s AI-native approach is how seamlessly it adapts to our data landscape — without needing constant tuning. The system learns patterns across our workflows and flags what matters, not just what’s noisy. It’s made our team faster and more focused, especially as we scale analytics across the business.

Simoh-Mohamed Labdoui

Head of Data

"Enabler of Cross Platform Data Storytelling"

"Sifflet has been a game-changer for our organization, providing full visibility of data lineage across multiple repositories and platforms. The ability to connect to various data sources ensures observability regardless of the platform, and the clean, intuitive UI makes setup effortless, even when uploading dbt manifest files via the API. Their documentation is concise and easy to follow, and their team's communication has been outstanding—quickly addressing issues, keeping us informed, and incorporating feedback. "

Callum O'Connor

Senior Analytics Engineer, The Adaptavist

"Building Harmony Between Data and Business With Sifflet"

"Sifflet serves as our key enabler in fostering a harmonious relationship with business teams. By proactively identifying and addressing potential issues before they escalate, we can shift the focus of our interactions from troubleshooting to driving meaningful value. This approach not only enhances collaboration but also ensures that our efforts are aligned with creating impactful outcomes for the organization."

Sophie Gallay

Data & Analytics Director, Etam

" Sifflet empowers our teams through Centralized Data Visibility"

"Having the visibility of our DBT transformations combined with full end-to-end data lineage in one central place in Sifflet is so powerful for giving our data teams confidence in our data, helping to diagnose data quality issues and unlocking an effective data mesh for us at BBC Studios"

Ross Gaskell

Software engineering manager, BBC Studios

"Sifflet allows us to find and trust our data"

"Sifflet has transformed our data observability management at Carrefour Links. Thanks to Sifflet's proactive monitoring, we can identify and resolve potential issues before they impact our operations. Additionally, the simplified access to data enables our teams to collaborate more effectively."

Mehdi Labassi

CTO, Carrefour Links

"A core component of our data strategy and transformation"

"Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times."

Sami Rahman

Director of Data, Hypebeast

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Frequently asked questions

How does Sifflet support data lineage tracking and governance?

Sifflet’s unified data catalog and observability features bring context-rich insights into your data workflows. This integration enhances data lineage tracking and supports stronger data governance by giving teams a holistic view of how data flows and transforms across your systems.

Why is investing in data observability important for business leaders?

Great question! Investing in data observability helps organizations proactively monitor the health of their data, reduce the risk of bad data incidents, and ensure data quality across pipelines. It also supports better decision-making, improves SLA compliance, and helps maintain trust in analytics. Ultimately, it’s a strategic move that protects your business from costly mistakes and missed opportunities.

How does Sifflet make it easier to manage data volume at scale?

Sifflet simplifies data volume monitoring with plug-and-play integrations, AI-powered baselining, and unified observability dashboards. It automatically detects anomalies, connects them to business impact, and provides real-time alerts. Whether you're using Snowflake, BigQuery, or Kafka, Sifflet helps you stay ahead of data reliability issues with proactive monitoring and alerting.

What should I look for in a reverse ETL tool?

When choosing a reverse ETL tool, key features to consider include reliable syncing, strong security and privacy controls, and broad integration capabilities. These features help ensure smooth data pipeline monitoring and support data governance across your organization.

Is Sifflet suitable for large, distributed data environments?

Absolutely! Sifflet was built with scalability in mind. Whether you're working with batch data observability or streaming data monitoring, our platform supports distributed systems observability and is designed to grow with multi-team, multi-region organizations.

What are the main challenges of implementing Data as a Product?

Some key challenges include ensuring data privacy and security, maintaining strong data governance, and investing in data optimization. These areas require robust monitoring and compliance tools. Leveraging an observability platform can help address these issues by providing visibility into data lineage, quality, and pipeline performance.

How does the new Fivetran integration enhance data observability in Sifflet?

Great question! With our new Fivetran integration, Sifflet now provides visibility into your data's journey even before it reaches your data platform. This means you can track data from its source through Fivetran connectors all the way downstream, offering truly end-to-end data observability.

How does Sifflet help with root cause analysis in Firebolt environments?

Sifflet makes root cause analysis easy by providing complete data lineage tracking for your Firebolt assets. You can trace issues back to their source, whether it's an upstream dbt model or a downstream Looker dashboard, all within a single platform.

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