Product

Data Security

%%Simply%% Secure

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

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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

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

PROTECT

Compliance Certifications

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

SOC 2
ISO 27001
GDPR
HIPAA

Reinforced %%Reliability%%

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

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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.

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sifflet a guide to assessing your need for a data observability

Insights

A Guide to Assessing your Need for Data Observability

Product

How Sifflet keeps your data safe

Product

Data quality for all - Un-siloed 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.

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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 did Sifflet help Meero reduce the time spent on troubleshooting data issues?

Sifflet significantly cut down Meero's troubleshooting time by enabling faster root cause analysis. With real-time alerts and automated anomaly detection, the data team was able to identify and resolve issues in minutes instead of hours, saving up to 50% of their time.

What if I use tools that aren’t natively supported by Sifflet?

No worries at all! With Sifflet’s Universal Connector API, you can integrate data from virtually any source. This flexibility means you can monitor your entire data ecosystem and maintain full visibility into your data pipeline monitoring, no matter what tools you're using.

What benefits can I expect from using Sifflet with Google Cloud?

By combining Sifflet with Google Cloud, you get end-to-end cloud data observability, real-time metrics, and proactive monitoring across your data stack. It’s a powerful way to boost your data reliability and meet your SLA compliance goals.

What are some key features to look for in an observability platform for data?

A strong observability platform should offer data lineage tracking, real-time metrics, anomaly detection, and data freshness checks. It should also integrate with your existing tools like Airflow or Snowflake, and support alerting through Slack or webhook integrations. These capabilities help teams monitor data pipelines effectively and respond quickly to issues.

What role does data observability play in Shippeo's customer experience?

Data observability helps Shippeo’s Customer Experience team respond quickly to issues like missing GPS data or unusual spikes in transport orders. Real-time alerts empower them to act fast, communicate with customers, and keep service levels high.

What role does technology play in supporting data team well-being?

The right technology can make a big difference. Adopting observability tools that offer features like data lineage tracking, data freshness checks, and pipeline health dashboards can reduce manual firefighting and help your team work more autonomously. This not only improves productivity but also makes day-to-day work more enjoyable.

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.

What makes Sifflet's approach to data pipeline monitoring unique?

We take a holistic, end-to-end approach to data pipeline monitoring. By collecting telemetry across the entire data stack and automatically tracking field-level data lineage, we empower teams to quickly identify issues and understand their downstream impact, making incident response and resolution much more efficient.

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