Stop spending 40% of your data team on firefighting
Real-time pipeline monitoring and automated quality enforcement so your team can focus on work that drives revenue, not incidents
Everything your data stack needs
From pipeline orchestration to real-time observability — one platform that keeps your data operations running at scale
Pipeline Orchestration
Smart scheduling
Define dependencies once and let the system handle execution order, retries, and priority optimization automatically.
Dependency mapping
Visual lineage graphs that show exactly how tables and pipelines depend on each other — update one without breaking downstream.
Dynamic backfills
Rebuild historical data for any time range with a single click. Handle schema changes and partial failures gracefully.
Parallel execution
Maximize warehouse utilization by running independent tasks simultaneously while preserving critical ordering.
Data Quality
Schema enforcement
Catch type mismatches, null violations, and cardinality shifts before they reach production dashboards or downstream systems.
Anomaly detection
Statistical profiling flags unusual volume spikes or distribution changes that manual rules would miss entirely.
Automatic reconciliation
Cross-validate source and target record counts, sums, and key metrics after every pipeline run.
Observability
Real-time monitoring
Live dashboards show pipeline health, throughput rates, and queue depths the moment something deviates from baseline.
Smart alerting
Route notifications to the right engineer based on ownership, on-call rotation, and escalation policy — no alert fatigue.
Audit-ready logging
Immutable, tamper-evident logs of every execution event, data access, and configuration change for compliance requirements.
Proven outcomes at scale
Leading data teams use the platform to cut incident response time and reclaim engineering capacity
Meridian Financial
Cut incident response from 4 hours to 11 minutes
Meridian's data engineering team was spending 3 days per week on data quality escalations. After 8 weeks on the platform, they had eliminated 90% of silent data failures.
Read case study →Vantage Health
Scaled to 10M records per day without adding headcount
Vantage needed to triple their data volume in 6 months for a new payer partnership. The platform handled the scale without a single pipeline failure.
Read case study →Relay Commerce
Migrated cloud warehouse in 2 weeks with zero downtime
Relay needed to move from Redshift to Snowflake without disrupting 14 daily reports and 3 active BI tools. The migration ran automatically with rollback protection.
Read case study →See measurable results in your first week
Join 500+ data teams who've reduced firefighting and reclaimed engineering time for high-impact work
Common questions
How long does it take to get started?
Most teams are up and running within 2 hours. You connect your warehouse and pipeline tools via pre-built connectors, define ownership and alerting routes, and the platform begins profiling your data immediately. No custom instrumentation or code changes required — existing dbt models, Airflow DAGs, and Fivetran syncs integrate without modification.
By the end of day one you'll have lineage maps, baseline profiles, and active monitoring running. Our onboarding team reviews your first insights with you to ensure you're capturing the right signals for your use case.
Which data tools and warehouses do you support?
The platform connects to over 200 data tools out of the box. Supported warehouses include Snowflake, BigQuery, Redshift, Databricks, and Postgres. Orchestration integrations cover Airflow, Prefect, Dagster, and dbt Core. Pipeline tools include Fivetran, Stitch, Airbyte, and Matillion. BI tools include Tableau, Looker, Metabase, and Power BI.
If you're using a custom-built pipeline or an older tool, you can instrument it via our REST API or Python SDK in under 20 lines of code. Unsupported tools go on a public roadmap vote — most enterprise requests ship within 60 days.
How do you handle data security and compliance?
Security is foundational, not an add-on. The platform is SOC 2 Type II certified and ISO 27001 compliant. Data never leaves your cloud region — all profiling and monitoring runs inside your VPC via a lightweight agent. You retain full control; we never store raw data, only metadata and aggregate profiles.
Enterprise plans include data residency options across US, EU, and APAC regions. Audit logs are immutable and include identity verification for every action. Role-based access control integrates with your IdP via SAML 2.0 or OIDC, and SSO is enforced at the organization level.
What does pricing look like?
Pricing scales with your data volume and team size. Entry tier starts at $1,200/month for teams processing up to 500M records, including full pipeline monitoring, quality rules, and alerting. Growth tier adds custom SLAs, RBAC, and SSO for $3,000/month. Enterprise includes dedicated infrastructure, custom data residency, and a named customer success manager.
All paid plans include a 14-day free trial with full feature access. No implementation fees, no hidden costs for additional connectors, and volume discounts kick in automatically at 1B records and 5B records. Annual plans include a 20% discount.