%%Simply%% Secure

Sifflet makes no compromises when it comes to ensuring your security, risk mitigation, and compliance. 

Sifflet dashboard features overview

Least Privilege Policies

Sifflet helps you manage who can access what data. It features RBAC principles to grant or restrict access based on a user’s role in the organization, rather than managing individual permissions. 

A No Data Storage Approach

Our approach eliminates persistent data storage, with transient data handling and ephemeral computing principles. 

State of the Art Isolation

Sifflet uses single tenancy architecture, so each and every client benefits from a dedicated and isolated instance of our tooling, infrastructure, and associated resources.

ENSURE

Product Security 

Sifflet gives you peace of mind with tools to keep access to your environment protected.

  • SaaS or self-hosted deployment
  • Cross-IdP SSO support
  • RBAC
Sifflet dashboard features overview
ISOLATE

Platform Security 

Security at the platform level to keep each and every client safe.

  • Single tenancy architecture for state of the art isolation
  • No data alteration and least privilege policy
  • No data storage approach
Sifflet dashboard features overview
PROTECT

Compliance Certifications

Your data’s sensitive. Sifflet is certified compliant across a range of standards.

  • SOC 2
  • ISO 27001
  • GDPR
  • HIPAA
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Reinforced %%Reliability%%

Sifflet’s monitoring features reinforce data reliability for all users, so business can deliver.

Data Users

Enhance customer trust with tools that secure data and help your business align with regulatory and compliance requirements.

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Data Engineers

Keep specific data pipelines and storage systems confidential and protect critical data assets from manipulation.

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Data Leaders

Avoid legal issues, financial penalties and reputational damage associated with data mishandling, or unauthorized data access and breaches.

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Need %%strong%% data protection?

Benefit from peace of mind that your sensitive data is safe and your business mitigates risk by remaining compliant.

Talk to 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
Still have a question in mind ?
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Frequently asked questions

What makes a data observability platform truly end-to-end?
Great question! A true data observability platform doesn’t stop at just detecting issues. It guides you through the full lifecycle: monitoring, alerting, triaging, investigating, and resolving. That means it should handle everything from data quality monitoring and anomaly detection to root cause analysis and impact-aware alerting. The best platforms even help prevent issues before they happen by integrating with your data pipeline monitoring tools and surfacing business context alongside technical metrics.
What is data volume and why is it so important to monitor?
Data volume refers to the quantity of data flowing through your pipelines. Monitoring it is critical because sudden drops, spikes, or duplicates can quietly break downstream logic and lead to incomplete analysis or compliance risks. With proper data volume monitoring in place, you can catch these anomalies early and ensure data reliability across your organization.
How does data observability complement a data catalog?
While a data catalog helps you find and understand your data, data observability ensures that the data you find is actually reliable. Observability tools like Sifflet monitor the health of your data pipelines in real time, using features like data freshness checks, anomaly detection, and data quality monitoring. Together, they give you both visibility and trust in your data.
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 did Sifflet support Meero’s incident management and root cause analysis efforts?
Sifflet provided Meero with powerful tools for root cause analysis and incident management. With features like data lineage tracking and automated alerts, the team could quickly trace issues back to their source and take action before they impacted business users.
How does Sifflet support data pipeline monitoring at Carrefour?
Sifflet enables comprehensive data pipeline monitoring through features like monitoring-as-code and seamless integration with data lineage tracking and governance tools. This gives Carrefour full visibility into their pipeline health and helps ensure SLA compliance.
What is SQL Table Tracer and how does it help with data observability?
SQL Table Tracer (STT) is a lightweight library that extracts table-level lineage from SQL queries. It plays a key role in data observability by identifying upstream and downstream tables, making it easier to understand data dependencies and track changes across your data pipelines.
What sessions is Sifflet hosting at Big Data LDN?
We’ve got an exciting lineup! Join us for talks on building trust through data observability, monitoring and tracing data assets at scale, and transforming data skepticism into collaboration. Don’t miss our session on how to unlock the power of data observability for your organization.