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Fireworks, not fires: A Guide to Assessing your Need for Data Observability –
 Access it Now!
DATA OBSERVABILITY PLATFORM

From data chaos to data calm

Data quality monitoring, data catalog, and end-to-end lineage—all in one platform

Take a tour
Sifflet product screen of Monitoring and Alerting
From data ingestion to consumption

Integrates with your modern data stack

Sifflet seamlessly integrates into your data sources and preferred tools, and can run on AWS, Google Cloud Platform, and Microsoft Azure.

See how to set up an integration
All
Data Platforms
BI Tools
Data Pipelines
Transactional Databases
Notification channels
Code Repositories
GCP AlloyDB
GCP AlloyDB
Amazon Athena
Amazon Athena
Amazon Quicksight
Amazon Quicksight
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Apache Airflow
Apache Airflow
Apache Hive
Apache Hive
Atlassian Jira
Atlassian Jira
Azure Synapse
Azure Synapse
BigQuery
BigQuery
GCP Cloud SQL
GCP Cloud SQL
Databricks
Databricks
dbt
dbt
Firebolt
Firebolt
Fivetran
Fivetran
GitHub
GitHub
GitLab
GitLab
Looker
Looker
Microsoft SQL Server
Microsoft SQL Server
MicroStrategy
MicroStrategy
MySQL
MySQL
Oracle
Oracle
PagerDuty
PagerDuty
PostgreSQL
PostgreSQL
Power BI
Power BI
Prefect
Prefect
Qlik
Qlik
Servicenow
Servicenow
Sigma
Sigma
Slack
Slack
Snowflake
Snowflake
Tableau
Tableau
Teams
Teams
Amazon Athena
Amazon Athena
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Apache Hive
Apache Hive
Azure Synapse
Azure Synapse
BigQuery
BigQuery
Databricks
Databricks
Firebolt
Firebolt
Snowflake
Snowflake
Amazon Quicksight
Amazon Quicksight
Looker
Looker
MicroStrategy
MicroStrategy
Power BI
Power BI
Qlik
Qlik
Sigma
Sigma
Tableau
Tableau
Apache Airflow
Apache Airflow
dbt
dbt
Fivetran
Fivetran
Prefect
Prefect
GCP AlloyDB
GCP AlloyDB
GCP Cloud SQL
GCP Cloud SQL
Microsoft SQL Server
Microsoft SQL Server
MySQL
MySQL
Oracle
Oracle
PostgreSQL
PostgreSQL
Atlassian Jira
Atlassian Jira
PagerDuty
PagerDuty
Servicenow
Servicenow
Slack
Slack
Teams
Teams
GitHub
GitHub
GitLab
GitLab
Data Catalog

The data you need, at your fingertips

Discover and understand your data assets easily with AI

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Benefits

For your technical teams
  • Assess your monitoring coverage
  • Stop duplicating assets
  • Always find the asset you need when you need it
  • Collaborate with your team

Benefits

For your business teams
  • Understand the data behind the dashboards
  • Feel confident about your data-based decisions
  • Always find the asset you need when you need it
  • Collaborate with your team

What's included

Data assets search engine
  • Simplify data discovery thanks to smart sorting algorithms
  • Effortlessly manage data with LLM-assisted asset classification suggestions, including PII detection
Data assets source of truth
  • Learn about data through comprehensive and centralized metadata
  • Seamlessly build and maintain data documentation with continuous GenAI-based asset descriptions
  • Evaluate data in one click thanks to preview capabilities
  • Get all teams on the same page with a business glossary
Integration with data monitoring
  • Make data self-service safe with asset health status
  • Assess and refine monitoring coverage with filtering options
Data QUALITY MONITORING

Build confidence in the quality of your data

Leverage AI-based monitoring with business impact

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Benefits

For your technical teams
  • Automatic monitoring coverage of your data assets
  • Catch any data inconsistencies as soon as they occur
  • ML and SQL data quality monitors
  • Configure once and benefit from adaptive learning of ML models

Benefits

For your business teams
  • Ensure data reliability across the organization
  • Feel confident about your data-based decisions
  • Know when your data is experiencing quality issues
  • Never work with corrupt data again

What's included

LifeCycle monitoring
  • Empower business users with smart monitoring setup leveraging LLM
  • Detect anomalies continuously with Sifflet ML models
  • Maintain control and accuracy with optional manual setup and user feedback
Scalability
  • Optimize monitoring coverage with AI-powered suggestions
  • Minimize  noise level with AI-based monitoring supervision
  • Implement programmatic monitoring setup and maintenance with Data Quality as Code (DQaC)
Monitors library
  • Access predefined templates to check data at field and table levels
  • Ensure both business impact and technical requirements are met with a wide range of monitors
Sifflet product screen of Monitoring and Alerting
Data Lineage

Break down data silos and ensure data quality

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Benefits

For your technical teams
  • End-to-end visibility into your data lifecycle
  • Assess business impact of data quality issues
  • Simplify root cause analysis and impact assessment
  • Prevent downstream issues
  • Swiftly onboard new users

Benefits

For your business teams
  • De-risk data self-service
  • Break down data silos across teams

What's included

Comprehensive data asset dependencies mapping
  • Out-of-the-box lineage through integrations & SQL history parsing
  • Last mile dependencies mapping with declarative lineage
  • Column-level granularity
Optimized UI
  • Swift navigate, fold, and unfold lineage
  • One-click access to data asset context
  • Asset health status visibility
Extract capabilities
  • Lineage screengrabs
  • Export lineage as CSV
screen
Security

Secure by design

A platform built with security in mind to simplify compliance.

Take a tour

What's included

Product security features
  • SaaS or self-hosted deployment
  • Cross-IdP SSO support
  • RBAC
Platform security principles
  • Single tenancy architecture for state of the art isolation
  • No data alteration and least privilege policy
  • No data storage approach
Compliance certifications
  • SOC 2
  • ISO 27001
  • GDPR
  • HIPAA
CUSTOMER STORIES

" 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
Read the customer story