Sifflet
Data observability platform that detects quality issues early and provides automated root cause analysis
- Also known as
- sifflet
Available worldwide · Popular in: US
What is Sifflet?
A data observability platform that continuously detects data quality issues, identifies root causes automatically, and recommends fixes to ensure reliable data across analytics pipelines.
Sifflet pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Up to 500 assets
Small but mighty data teams
- assets
- 500
- Core Data Observability & Catalog
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
- AI-Powered Incident Management
Up to 1,000 assets
Cross-functional data teams
- assets
- 1000
- Core Data Observability & Catalog
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
- AI-Powered Incident Management
- Advanced Governance
- Data Observability Agent
- SSO
- Snowflake/BigQuery/S3 Data Sharing
Enterprise
Contact salesLarge, regulated or complex organizations
- assets
- flexible
- All features
- Early Access to Upcoming Data Observability Agents
- Pipeline Monitoring
- SaaS/Hybrid/Self-hosted deployment
What Sifflet does
The capabilities that matter for data observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Freshness monitoring
- ✓
- Volume monitoring
- ✓
- Schema change detection
- ✓
- Data quality rules
- ✓
- ML anomaly detection
- ✓
- Lineage impact analysis
- ✓
- Root cause analysis
- ✓
- Incident management workflow
- ✓
- Dbt native
- ✓
- Streaming support
- ✓
- Deployment model
- Managed SaaS
- Open source
- -
- Pricing model
- Contact sales
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Hybrid
- Self-hosted
Integrations (30)
Independently observed- dbt←•
- S3←•
- Looker←•
- PagerDuty→
- Kafka←
- Amazon Redshift⇄
- Databricks⇄
- Tableau→
- MicroStrategy→
- PostgreSQL←
- MySQL←
- Oracle←
- Microsoft SQL Server←
- GCP Cloud SQL←
- GCP AlloyDB←
- Prefect⇄
- GitHub←
- GitLab←
- DataGalaxy⇄
- Apache Airflow
- ServiceNow
- Slack
- Google Cloud
- Firebolt
- BigQuery
- Snowflake
- Amazon S3
- Fivetran
- Stitch
- Apache Kafka
Sifflet FAQ
Common questions about Sifflet, answered from independent, dated evidence.
What is Sifflet?
A data observability platform that continuously detects data quality issues, identifies root causes automatically, and recommends fixes to ensure reliable data across analytics pipelines. It is indexed under Data Observability.
Is Sifflet free?
Sifflet offers a free tier, so you can start without paying. Paid plans are also available: Small, Team and Enterprise. Pricing changes often, so verify at source before relying on it.
What platforms does Sifflet support?
We have confirmed browser-based access to Sifflet. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Can Sifflet be self-hosted?
Yes. Sifflet can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.
What does Sifflet integrate with?
We have confirmed 13 integrations for Sifflet, including Apache Airflow, ServiceNow, Slack, Google Cloud, Firebolt, BigQuery, Snowflake and Amazon S3, plus 5 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
What security certifications does Sifflet have?
We have independently confirmed GDPR for Sifflet. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Sifflet not holding them. Always confirm compliance directly before you rely on it.
Source: https://www.siffletdata.com/signals-event/trust-by-design-a-manifesto-for-data-in-the-ai-era
Where is Sifflet available?
Sifflet is available in the United States and Singapore. Its primary market is the United States.
Sifflet alternatives
Other data observability we track, ranked by the same independent score.
- AcceldataAI-powered platform that automates data quality monitoring, compliance enforcement, and incident resolution across enterprise data environmentsmedium · 61%
- ElementaryA unified platform for data observability, quality assurance, and governance integrated with data pipelinesmedium · 55%
- BigeyeEnterprise platform for real-time data quality monitoring and AI governancelow · 3%
- DatafoldAutomated data comparison and validation toolslow · 42%
- TelmaiAI-driven continuous data quality monitoring for data lakes and lakehouseslow · 29%
- Monte CarloA platform for monitoring, troubleshooting, and optimizing data and AI systems at scalelow · 7%
Compare Sifflet
Side by side against other data observability, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Sifflet, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 100 | 0.04 | 3.8 | ✓ |
| Integrations | 40 | 0.04 | 1.8 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 5 | 0.12 | 0.0 | - |
| Pricing transparency | 0 | 0.05 | 0.0 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 64% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Dbt native: Yes · Pricing model: contact-sales · Deployment model: managed-SaaS · Streaming support: Yes · Volume monitoring: Yes · Data quality rules: Yes | mediumsource · 2026-09-24 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 24 | mediumsource · 2026-09-24 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-18 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-08-18 · 75% |
Is Sifflet the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Sifflet against the rest of the data observability we index, using the same dated evidence weighted your way.
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