BUILT-IN SECURITY

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
Compliance certifications badge
TEAMS

Strong Protection

Built for Everyone

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

Data Users

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

Data Engineers

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

Data Leaders

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

Need strong data protection?

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

"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

Can I use Sifflet to detect bad-quality data in my Airflow pipelines?
Absolutely! With Sifflet’s data quality monitoring integrated into Airflow DAGs, you can detect and isolate bad-quality data before it impacts downstream processes. This helps maintain high data reliability and supports SLA compliance.
What kind of metadata can I see for a Fivetran connector in Sifflet?
When you click on a Fivetran connector node in the lineage, you’ll see key metadata like source and destination, sync frequency, current status, and the timestamp of the latest sync. This complements Sifflet’s existing metadata like owner and last refresh for complete context.
Is Sifflet available for VPC deployment on Google Cloud?
Yes it is! You can deploy Sifflet’s observability platform within your own private Google Cloud environment using VPC deployment, giving you full control over data governance and security.
How can I avoid breaking reports and dashboards during migration?
To prevent disruptions, it's essential to use data lineage tracking. This gives you visibility into how data flows through your systems, so you can assess downstream impacts before making changes. It’s a key part of data pipeline monitoring and helps maintain trust in your analytics.
Why should organizations shift from firefighting to fire prevention in their data operations?
Shifting to fire prevention means proactively addressing data health issues before they impact users. By leveraging data lineage and observability tools, teams can perform impact assessments, monitor data quality, and implement preventive strategies that reduce downtime and improve SLA compliance.
How does Sifflet help Adaptavist detect issues before they impact stakeholders?
Sifflet enables real-time metrics and data freshness checks that surface anomalies before they escalate. With features like alerting, lineage tracking, and pre-prod validation, teams at Adaptavist can spot and fix problems early, reducing surprise outages and improving SLA compliance.
How does Sifflet support data quality monitoring?
Sifflet makes data quality monitoring seamless with its auto-coverage feature. It automatically suggests fields to monitor and applies rules for freshness, uniqueness, and null values. This proactive monitoring helps maintain SLA compliance and keeps your data assets trustworthy and safe to use.
How do I choose the right organizational structure for my data team?
It depends on your company's size, data maturity, and use cases. Some teams report to engineering or product, while others operate as independent entities reporting to the CEO or CFO. The key is to avoid silos and unclear ownership. A centralized or hybrid structure often works well to promote collaboration and maintain transparency in data pipelines.
Still have questions?