[NEW] Automated Parameter Drift & Security Scanning for Airflow, PySpark, and dbt pipelines
Non-Destructive, Read-Only Audit

Unbreakable guardrails
for data platform teams.

Stop letting fragmented scripts, hardcoded credentials, and parameter drift break production. Kovallent scans your data repositories in two minutes to enforce enterprise standards before bad code ever merges.

AWS · GCP · Azure Airflow / PySpark / dbt / Polars / Iceberg
kovallent — executive-scorecard.tsx
0% STANDARDIZED
0 secrets flagged
dbt_customer_ledger
3 hardcoded secrets
BREACH
airflow_dag_ingest_v2
param drift: dev≠prod
DRIFT
pyspark_churn_model
contract verified
PASS
iceberg_sync_nightly
missing schema
DRIFT
70%
Faster New Hire Onboarding
80%
Reduction in Parameter-Driven Outages
100%
Audit & Security Lineage Compliance
<2 Mins
Instant Repo Scan Time
THE PROBLEM

The invisible cost of unstandardized code.

The Snowflake Codebase

15 engineers writing pipelines 15 different ways — resulting in endless PR reviews and zero consistency.

3-Week Developer Onboarding

Senior architects bogged down answering tribal knowledge questions for every new hire.

Silent Parameter Drift

Pipelines breaking in production because dev, stage, and prod handle job arguments inconsistently.

ANY STACK, NO INTEGRATIONS REQUIRED

Standardization for whatever you already run.

Kovallent reads pipeline code directly through AST parsing — it doesn't connect tool-by-tool, so it works with any tech stack already in place. These are the layers that see the biggest payoff from that standardization:

ORCHESTRATION
Airflow
TRANSFORMATION
dbt PySpark Polars
WAREHOUSES & COMPUTE
Snowflake Databricks BigQuery Amazon EMR
TABLE FORMATS
Iceberg

Don't see your exact tools listed — if it's Python, SQL, or YAML living in a Git repo, Kovallent can parse it.

THE CONTROL PLANE

One scan. Four layers of visibility.

// jobs/ingest_customers.py
✗ missing pydantic schema for `env_target`
✗ missing pydantic schema for `batch_size`
// jobs/sync_iceberg.py
✓ contract JobParams(BaseModel) found
connectors/redshift_conn.py:12AWS_SECRET_ACCESS_KEY = "AKIA••••••••"
dags/legacy_etl.py:88postgres://admin:••••@prod-db:5432
kv-cli scaffold new-pipeline --template dbt-standard
✓ created /pipelines/new_pipeline/contract.py
✓ created /pipelines/new_pipeline/schema.sql
✓ created /pipelines/new_pipeline/.kv-lint.yml
POSITIONING

Stop paying to detect broken pipelines in production. Catch them pre-commit.

Traditional data observability platforms tell you when your pipeline breaks — after the compute has run, after the bad data has landed in your warehouse, and after executives see corrupted dashboards.

Kovallent takes a fundamentally different approach. As the Shift-Left Data Engineering Control Plane, Kovallent intercepts bad code, parameter drift, and missing contract schemas in local IDEs and CI/CD pipelines — before non-compliant code ever merges into production.

DIMENSION
Post-Execution Observability
Kovallent Shift-Left
Core focusReactive anomaly detectionProactive code guardrails
Execution layerRuntime (post-database)Local IDE & pre-commit CI/CD
Cloud compute costPays for failed job runs$0 compute wasted
Parse engine latencyMinutes to hours<200ms AST local scan
Schema & parameter driftAlerted after table breaksBlocked before PR merges
Hardcoded secrets detectionOut of scope (data-at-rest)Pre-commit git hook blocking
Production backfill effortDays spent re-running DAGsZero (bad code never lands)

1. Compute waste vs. zero-compute prevention

Post-execution observability tools run continuous, resource-heavy queries against your data warehouses to detect anomaly spikes. You pay twice: once for the failed Spark/dbt job run, and again for the observability platform to query the corrupted tables.

The Kovallent Advantage: Kovallent parses Abstract Syntax Trees (AST) locally or during Git pull request checks. Non-compliant parameter contracts fail in <200ms, preventing compute resources from ever spinning up.

2. Reactive alerts vs. unbreakable contracts

Observability tools generate Slack alerts when schema drift breaks a pipeline. By the time your team receives the alert, downstream dashboards are out of date and your data team is forced into emergency backfill mode.

The Kovallent Advantage: Kovallent enforces strict, declarative Parameter Contracts (Pydantic / JSON Schema) upstream. If a developer forgets an environment variable or alters a data type signature, the PR build fails instantly.

3. Fixing bugs at the source

Fixing a schema error or unhandled parameter exception in production requires opening an incident, investigating root causes across complex lineage graphs, writing a hotfix, and running expensive backfills.

The Kovallent Advantage: Kovallent provides real-time feedback directly inside the engineer's local terminal via kv-cli. Developers catch and fix contract breaches before pushing code to remote branches.
HOW IT WORKS

From connection to scorecard in minutes.

STEP 1

Connect GitHub / GitLab

Read-only OAuth or token setup in under 60 seconds. No write access, ever.

STEP 2

Automated pipeline analysis

We scan every repo against your enterprise design system contracts — dependencies, parameters, secrets.

STEP 3

Get your health scorecard

View a live dashboard and export a board-ready PDF action plan.

PRICING

Active contributor seats, not per-user tax.

Pay for the engineers actually pushing code — plus the repos you want monitored. Read-only viewers are always free.

Developer / CLI
Individual engineers & open source
$0forever
1 Active Contributor seat
1 Active Contributor
Up to 3 monitored repos
  • Unlimited local kv-cli executions
  • Standard AST parameter & linter rule engine
  • Pre-commit git hooks
  • Community Discord & GitHub support
Install Free CLI
Team Platform
Growing data teams (5–20 engineers)
$39/seat/mo
Starts at 5 seats — $195/mo
Starts at 5 seats
Up to 20 monitored repos
  • Everything in Developer, plus:
  • GitHub Actions & GitLab CI/CD quality gates
  • Parameter Contract Builder & drift alerts
  • Hardcoded secrets & credential leak scanning
  • Slack & email alert integrations
  • Standard email support (24hr SLA)
Start 14-Day Free Trial
Custom / Gov
Regulated enterprise, healthcare, finance & government
Customquote
Unlimited seats
Unlimited repositories
  • Everything in Enterprise, plus:
  • Self-hosted / private VPC agent (kv-agent)
  • Custom AST rule engine & proprietary linters
  • Guaranteed 99.95% API uptime SLA
  • Dedicated CSM & 24/7 phone SLA
  • Custom SOC 2 & audit log exporting
Contact Enterprise Sales
FEATURE Developer Team Enterprise Custom / Gov
Local kv-cli executionsUnlimitedUnlimitedUnlimitedUnlimited
Included monitored repos3 repos20 repos100 reposCustom / unlimited
CI/CD quality gates5 pipelinesUnlimitedUnlimited
Parameter Contract BuilderBasicAdvancedCustom schemasCustom schemas
Scaffold Studio blueprintsFull accessCustom blueprints
Executive Health ScorecardIncludedCustom board reports
Authentication & SSOGitHub OAuthGitHub OAuthSAML / Okta / Azure ADSAML / Okta / custom OIDC
Deployment modelLocal CLIMulti-tenant cloudMulti-tenant cloudVPC / on-prem / air-gapped
Support SLACommunity24-hour email4-hour priority1-hour / 24-7 dedicated

What counts as an "Active Contributor"?

Any developer who opens a pull request or pushes code parsed by Kovallent in a 30-day window. Read-only managers and executives viewing scorecards do not require a seat license.

What if we exceed our repo allowance?

You will never be blocked unexpectedly. Enterprise accounts can add extra repository packs ($20/mo per 5 repos) or upgrade tiers directly from the workspace dashboard.

Is the free audit really 100% read-only?

Yes. Kovallent's Cloud Audit Engine uses strictly read-only OAuth permissions to analyze code metadata and parameter signatures via Abstract Syntax Trees. We never alter code or access production data rows.

Ready to eliminate data engineering tech debt?

Two-minute scan. Zero write access. One scorecard your board will actually read.