TROUBLESHOOT

Take Charge. Trace Anything.

Map out the relationships between your data assets, find what’s broken upstream and prevent downstream impacts with advanced lineage.

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Master Mapping

Map your asset dependencies from end-to-end. Modern UI makes it easy to look at lineage at both the table and column level.

Find Root Causes Fast

When data breaks, you need to know why and where. Sifflet’s lineage capabilities help you get to the root cause fast.

Take Care of Business

Assess the impact of data quality issues and prevent downstream trouble before it happens.

OVERSEE

Precision Mapping

See how data moves through your system from its origin to final destination and all the stops in between.

Map your data dependencies on day one with OOTB lineage enabled by integrations & SQL history parsing
Benefit from last mile dependencies mapping with declarative lineage
Work with column level granularity

UNDERSTAND

Full Context At Your Fingertips

Everything you need to get to resolution, faster.

Asset Health Status
Documentation

EXPLORE

Effortless Navigation & Exports

Investigate, collaborate and share your lineage.

Navigate lineage effortlessly by folding and unfolding your map
Screengrab lineage
Export your lineage as a CSV

TEAMS

Reduce Downtime

Built for Everyone

Sifflet's lineage capabilities help reduce data downtime and break down silos between teams.

Get in touch

Data Engineers

With Sifflet’s lineage, get up to 50% of the time you spend on mundane reliability tasks back and gain insight into your data across the entire lifecycle.

Data Leaders

Reduce data downtime and help the whole company benefit from better data quality by ensuring your teams can get to the bottom of root causes, faster.

Data Users

Understand where your data comes from to make informed decisions and break down silos between teams.

Looking for more?

sifflet a guide to assessing your need for a data observability

A Guide to Assessing your Need for Data Observability

Every data-driven team dreams of creating "fireworks" with their insights. But without control, the "fire" of the modern data stack can spark chaos.
Discover if you're fighting fires or igniting fireworks:

Take our Quizz

Troubleshoot Faster with Data Observability

Ever feel like data issues are the silent productivity killer in your team?
Building trust in your data and solving problems fast shouldn’t feel like guesswork. Enter unified data observability: the game-changer for confidence, efficiency, and smooth operations.

Read the blogpost

End-To-End Data Observability With Declarative Assets and Lineage

Find out how to leverage Sifflet's declarative framework to give teams a more comprehensive data documentation and governance while simplifying the troubleshooting experience

Improve Data Quality Rapidly

Sifflet’s lineage features help you break silos between teams and get to the bottom of root causes, so the whole company benefits from better data quality.

Speak with our experts

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

Frequently asked questions

What role does data lineage tracking play in managing complex dbt pipelines?

Data lineage tracking is essential when your dbt projects grow in size and complexity. Sifflet provides a unified, metadata-rich lineage graph that spans your entire data stack, helping you quickly perform root cause analysis and impact assessments. This visibility is crucial for maintaining trust and transparency in your data pipelines.

How does data observability differ from traditional data quality monitoring?

Great question! While data quality monitoring focuses on alerting teams when data deviates from expected parameters, data observability goes further by providing context through data lineage tracking, real-time metrics, and root cause analysis. This holistic view helps teams not only detect issues but also understand and fix them faster, making it a more proactive approach.

How can data observability help with SLA compliance and incident management?

Data observability plays a huge role in SLA compliance by enabling real-time alerts and proactive monitoring of data freshness, completeness, and accuracy. When issues occur, observability tools help teams quickly perform root cause analysis and understand downstream impacts, speeding up incident response and reducing downtime. This makes it easier to meet service level agreements and maintain stakeholder trust.

Is there a way to use Sifflet with Terraform for better data governance?

Yes! Sifflet now offers an officially-supported Terraform provider that allows you to manage your observability setup as code. This includes configuring monitors and other Sifflet objects, which helps enforce data contracts, improve reproducibility, and strengthen data governance.

Will dbt Impact Analysis be available for other version control tools?

Yes! While it currently supports GitHub and GitLab, Sifflet is actively working on bringing dbt Impact Analysis to Bitbucket. This expansion ensures broader coverage and supports more teams in achieving better data governance and observability.

How does the rise of unstructured data impact data quality monitoring?

Unstructured data, like text, images, and audio, is growing rapidly due to AI adoption and IoT expansion. This makes data quality monitoring more complex but also more essential. Tools that can profile and validate unstructured data are key to maintaining high-quality datasets for both traditional and AI-driven applications.

How can I better manage stakeholder expectations for the data team?

Setting clear priorities and using a centralized pipeline orchestration visibility tool can help manage expectations across the organization. When stakeholders understand what the team can deliver and when, it builds trust and reduces pressure on your team, leading to a healthier and happier work environment.

Can I customize how alerts are routed to ServiceNow from Sifflet?

Absolutely! You can customize routing based on alert metadata like domain, severity, or affected system. This ensures the right team gets notified without any manual triage, making your data pipeline monitoring more actionable and reliable.

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Still have questions?