Simply Secure
Sifflet makes no compromises when it comes to ensuring your security, risk mitigation, and compliance.
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.
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
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
Compliance Certifications
Your data’s sensitive. Sifflet is certified compliant across a range of standards.
- SOC 2
- ISO 27001
- GDPR
- HIPAA
Strong Protection
Built for Everyone
Benefit from peace of mind that your sensitive data is safe and your business mitigates risk by remaining compliant.
Go Further
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:
How Sifflet keeps your data safe
Sifflet safeguards your data with encryption, access controls, compliance with GDPR and SOC 2, and 24/7 monitoring. Secure APIs, SSO, and MFA ensure robust protection, while strict privacy policies and employee training reinforce trust.
Data quality for all - Un-siloed data quality
Sifflet breaks down silos to make data quality accessible for all. With a unified platform, we empower teams to collaborate, monitor, and improve data across the organization. Say goodbye to fragmented tools and hello to holistic data quality.
Need strong data protection?
Benefit from peace of mind that your sensitive data is safe and your business mitigates risk by remaining compliant.
"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. "
"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."
"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"
"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."
"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."
Frequently asked questions
Data-quality-as-code (DQaC) allows you to programmatically define and enforce data quality rules using code. This ensures consistency, scalability, and better integration with CI/CD pipelines. Read more here to find out how to leverage it within Sifflet
Yes, Sifflet leverages AI to enhance data observability with features like anomaly detection and predictive insights. This ensures your data systems remain resilient and can support advanced analytics and AI-driven initiatives. Have a look at how Sifflet is leveraging AI for better data observability here
AI enhances data observability with advanced anomaly detection, predictive analytics, and automated root cause analysis. This helps teams identify and resolve issues faster while reducing manual effort. Have a look at how Sifflet is leveraging AI for better data observability here
Data observability ensures data governance policies are adhered to by tracking data usage, quality, and lineage. It provides the transparency needed for accountability and compliance. Read more here.
Yes! While smaller organizations may have fewer data pipelines, ensuring data quality and reliability is equally important for making accurate decisions and scaling effectively. What really matters is the data stack maturity and volume of data. Take our test here to find out if you really need data observability.
-p-500.png)
