Blog
Data lineage and data observability, explained
Guides and practical playbooks for mapping data flow table-to-table, tracing columns to their source, monitoring freshness, catching schema changes, and seeing downstream impact before a change breaks a dashboard.
Alation vs Informatica Pricing and Data Lineage Compared for Catalog Buyers
Alation vs Informatica on real list prices: Alation $60,000 a year on AWS with lineage at $12,091 per connector, Informatica $131,760 for 120 IPU a month.
Read articleSnowflake Data Governance Tools Compared on Price for Atlan, Collibra, Alation and Immuta
Snowflake data governance tools on published prices: Horizon is included on Enterprise, Alation lists $60,000, Immuta $96,000, Collibra $170,000. Which to buy.
Read articleAtaccama vs Collibra Compared on Pricing, Data Quality and Lineage
Ataccama vs Collibra on real pricing: Collibra lists $170,000 on AWS and data quality from £122,919 on its filed rate card; Ataccama publishes only its meter.
Read articleSelect Star vs Atlan Pricing, Lineage and Which to Buy After Snowflake
Select Star listed $300 and $900 a month and Vendr puts the median near $36,000 a year; Atlan's filed rate card starts near $148,700 before seats. Worked costs, lineage, and the Snowflake question.
Read articleSoda vs Great Expectations Pricing and Licenses After GX Cloud Closed
GX Core is free and Apache-2.0 under Fivetran, GX Cloud closed on 1 June 2026, and Soda Team is $750 a month on an Elastic-licensed engine. Which to buy.
Read articleMetaplane vs Sifflet Pricing, Which Is Cheaper for a Data Team
Metaplane is free for 10 tables and Datadog lists it at $16 per table a month; Sifflet's only public price is $48,000 on AWS. Where they cross, and which to buy.
Read articledbt Cloud Pricing and dbt Cloud Enterprise Pricing per Seat in 2026
dbt Cloud pricing from primary sources: Starter $100 per seat for up to five, Enterprise $48,000 a year for 10 licenses on AWS, plus model, metric and dbt State meters.
Read articleDataHub vs Collibra Pricing and Data Lineage for Teams Choosing a Catalog
DataHub vs Collibra on real list prices: DataHub Cloud $75,000 a year for 20 users, Collibra $170,000 plus lineage add-ons per source. Worked cost and which to buy.
Read articleCollibra vs Informatica Pricing and Data Governance for Enterprise Buyers
Collibra vs Informatica on real list prices: Collibra $170,000 a year on AWS, Informatica $131,760 for 120 IPU a month. Lineage, ownership and which to buy.
Read articleDataHub vs Atlan Pricing for Teams Choosing a Data Catalog
DataHub vs Atlan on real prices: DataHub Cloud lists $75,000 a year for 20 active users, Atlan filed £110,000 before seats. Worked cost for a 15-person team.
Read articleAcceldata vs Anomalo on Pricing, Scope and Which to Buy
Acceldata vs Anomalo on real prices: $5,000 per Data Reliability unit and $100,000 per Spend Intelligence account against an Anomalo listing at $1 per undefined unit and $58,000 to $164,688 a year reported.
Read articleAnomalo vs Monte Carlo on Pricing, Quality vs Observability and Which to Buy
Anomalo vs Monte Carlo on published prices: $0.18 to $0.28 per Monte Carlo credit against an Anomalo listing priced at $1.00. Worked costs by table count, and which one to buy.
Read articleDatafold vs Monte Carlo on Pricing, CI Testing vs Observability and Which to Buy
Datafold vs Monte Carlo on published prices: $3,000 per developer a year against $0.18 to $0.28 per credit. Worked costs by team size, and which one a dbt team should buy.
Read articleSecoda vs Atlan Pricing and Lineage After the Atlassian Acquisition
Secoda vs Atlan on published pricing (Atlan's filed £110,000 to £300,000 rate card, Secoda's blank), column-level lineage, and what the Atlassian deal changes.
Read articleOpenMetadata vs DataHub Pricing, Licensing and Lineage Compared for Managed and Self-Hosted Teams
OpenMetadata vs DataHub: Collate and DataHub Cloud both list at $75,000 a year on AWS Marketplace. What each covers, the license split, and which to pick.
Read articleMetaplane vs Monte Carlo for Data Observability With Pricing per Monitored Table
Metaplane vs Monte Carlo on published prices: $19,200 a year for 100 tables at Datadog's $16 rate, $11,498 to $17,885 at Monte Carlo. Where the costs split and which fits.
Read articleImmuta Pricing and What Immuta Costs per Connector, User and Year
Immuta costs $98,740.55 a year per data platform connector and $493.70 per Access User on the US GSA schedule. The full rate card, the UK seat classes, and a worked example.
Read articleBigeye Pricing, $45,000 for 100 Tables, $75,000 for 300 and the Cost per Table
Bigeye lists two packages on AWS and Microsoft Marketplace: $45,000 a year for 100 monitored tables, $75,000 for 300, so $450 falling to $250 per table. Verified.
Read articleBigeye vs Monte Carlo Pricing and Cost per Monitored Table Compared
Bigeye lists $45,000 for 100 monitored tables and $75,000 for 300, so cost per table is computable. Monte Carlo lists $50,000 for an undefined Credit.
Read articleAcceldata vs Monte Carlo Pricing and Data Observability Compared
Monte Carlo lists $50,000 a year for a Credit it never defines. Acceldata lists $5,000 and $100,000 and does state the meter. Both read live on 6 September 2026.
Read articleCyera vs Sentra Pricing and What Cyera and Sentra Actually Cost per Terabyte
Cyera lists $50,000 to $250,000 against stated 25TB, 100TB and 250TB ceilings. Sentra lists $50,000 to $500,000 in gigabytes with no quantity stated. Both read live.
Read articleVaronis Pricing and Varonis Cost per Year From the Full Per-Connector Rate Card
Varonis lists 17 per-connector unit prices on AWS Marketplace ($310 Slack, $400 M365, $30,000 Snowflake) and 98 user-banded SKUs on the US GSA schedule, $12.55 to $1,546.63 per unit.
Read articleBigID vs Collibra vs Microsoft Purview Published Pricing Compared
BigID lists $175,000 and Collibra $170,000 for 12 months on AWS Marketplace. Purview meters $0.0165 per asset per day. Real prices, read from primary sources.
Read articleInformatica Pricing with IPU Cost, AWS List Prices and What IDMC Really Costs
Informatica publishes no prices, but its AWS Marketplace listing puts 120 IPU per month at $131,760 a year: exactly $91.50 per IPU, with no multi-year discount.
Read articleAtlan Pricing vs Alation Pricing and Cost Compared on Data Lineage and Which Catalog to Buy
Atlan pricing vs Alation pricing on real list figures: Alation costs $60,000 a year on AWS, Atlan files £110,000 (about $148,700) before seats. Lineage and which to buy.
Read articleAlation vs Collibra Pricing and Which Enterprise Data Catalog Costs Less
Collibra lists at $170,000 a year and Alation at $60,000 on AWS Marketplace, but their US federal price lists put the platforms at $166,346.53 and $251,889.17. What the gap really means.
Read articleMarquez Data Lineage Cost to Self-Host, Its Maintenance Status and Managed Alternatives
Marquez last shipped an artifact in March 2025 while OpenLineage published 27 releases. What self-hosting the reference backend really costs.
Read articlewatsonx.data Integration Pricing with IBM Resource Unit Cost, DataStage Plans and Databand
IBM publishes no price on its pricing page, but its public cloud catalog API returns $26.50 per Resource Unit, with a recommended 200 unit monthly minimum.
Read articleData Quality Dimensions and Metrics for Measuring Quality with a Scorecard
The six dimensions with the SQL that computes each one, why accuracy is the one nobody measures, and a weighted scorecard that does not sit at 0.97 forever.
Read articleOpen Source Data Catalog Tools Still Maintained, Their Lineage and True Cost
Which open source data catalogs are actually maintained in 2026, checked against the GitHub API: Amundsen was archived in September 2026 after zero commits to main in a year.
Read articleData Lineage Documentation Best Practices and BCBS 239 Requirements
What lineage documentation must contain, what BCBS 239 actually requires (its 2013 text never says lineage), plus a row-per-hop template and a worked example.
Read articleOpenLineage and How the Open Standard Tracks Spark, dbt and Airflow Lineage
What OpenLineage is, how the Dataset, Job, Run and Facet model works, whether it does column-level lineage, which tools emit events, and its blind spot.
Read articleBigQuery Lineage Not Showing and How to View It in the Console
How to open the Lineage tab on a BigQuery table, find the query that built it, and fix an empty graph. The 30-day retention limit, the roles, and the exact errors.
Read articleSnowflake Column-Level Lineage and How to Check a Column with GET_LINEAGE
Three ways to check column-level lineage in Snowflake: the GET_LINEAGE function, the Snowsight Lineage tab, and ACCESS_HISTORY in bulk. With SQL and the real limits.
Read articleData Contracts in dbt and What a Model Contract Actually Enforces
dbt model contracts fail a build when a model changes shape. But on Snowflake, BigQuery and Redshift only not_null is really enforced. The full matrix.
Read articleData Quality vs Data Integrity vs Data Verification
Data quality asks if data is fit for use. Data integrity asks if it survived intact. The precise difference, where each breaks, and what it changes about buying.
Read articleData Governance Framework Components, Policy and Examples
A data governance framework defines who decides what about your data. The DGI and DAMA models compared, the components that matter, and how to build one.
Read articleMicrosoft Purview Pricing at $0.0165 per Governed Asset a Day and $15 to $240 per Processing Unit
Microsoft Purview pricing from the live Azure price list: $0.0165 per governed asset a day, $15 to $240 per processing unit, plus every security and compliance meter.
Read articleSnowflake Data Catalog and What Horizon Covers and Misses
Yes, Snowflake has a data catalog. Horizon Catalog covers discovery, tagging, classification and column-level lineage. What it includes, and where it stops.
Read articleData Observability vs Monitoring and When You Need Each
Data monitoring checks rules you wrote; data observability learns each table's normal behavior and flags what you never thought to check. The real difference.
Read articleGreat Expectations vs dbt Tests and Which Data Quality Approach Fits
dbt tests are SQL assertions in your project; Great Expectations validates data anywhere, including before it lands. When to use each, and how to split them.
Read articleLooker Data Lineage in LookML and Knowledge Catalog and Where It Stops
How data lineage works in Looker, why the PDT graph and Knowledge Catalog integration are not column-level, and how to trace a LookML measure to its column.
Read articleCollibra Pricing Model and How Licensing Works Package by Package and Seat by Seat
How Collibra's five meters interact: platform packages, Creator and Contributor seats, per-system connectors, modules and support, with what each package bundles and what to negotiate.
Read articleSnowflake Data Quality Checks with DMFs and dbt Tests and What Each Misses
How to run data quality checks in Snowflake with data metric functions, the documented DMF limits, where dbt tests stop, and why lineage makes alerts useful.
Read articleAutomated Data Quality Monitoring and Where Lineage Fits In
How automated data quality monitoring flags anomalies without per-table rules, the three layers that make it work, and why it needs lineage to be actionable.
Read articlePower BI Lineage View for Impact Analysis and Column-Level Lineage
The Power BI lineage view maps dataflows and datasets but stops at the semantic model. What it misses, and how to trace a column downstream into reports.
Read articleTableau Data Lineage in Tableau Catalog and Where Field-Level Lineage Stops
How Tableau Catalog builds column-level data lineage, why it needs the Data Management add-on, where custom SQL breaks it, and how to trace the path upstream.
Read articleData Lineage for BI Tools with Power BI, Tableau and Looker Compared
Built-in data lineage in Power BI, Tableau and Looker each stops at its own boundary. Why warehouse-native column lineage gives you one graph instead of three.
Read articleHow to Handle Schema Drift by Detecting, Ranking and Fixing It Before Reports Break
A playbook for handling schema drift: detect structural changes from warehouse metadata, and rank drift by downstream impact so alerts do not get muted.
Read articleAirflow Data Lineage with OpenLineage and Marquez and What They Miss
How to get data lineage out of Apache Airflow with the OpenLineage provider and Marquez, what column-level lineage you get, and the coverage gaps that remain.
Read articleHow to Visualize dbt Lineage Beyond the DAG with Column-Level Graphs
How to visualize dbt lineage, from the built-in docs DAG to column-level graphs, why the dbt DAG stops at your project boundary, and how to see the full path.
Read articleSchema Change Impact Analysis Shows What Breaks Before You Deploy
See the downstream impact of a schema change before it ships: every model, dashboard and sync that reads the column, by name, then a safe deploy plan.
Read articleData Lineage vs Data Catalog and Which One You Need
A data catalog tells you what data exists; data lineage tells you how it connects and what breaks. How they differ, and which one your team needs first.
Read articleRedshift Data Lineage Built From Query History
How to trace column-level lineage in Amazon Redshift from the system tables, why the seven-day log retention is the catch, and how to fill that gap.
Read articleSchema Drift Detection That Catches a Breaking Column Change Before It Ships
How to detect schema drift with metadata your warehouse already exposes, why naive snapshot-and-diff gets muted in a week, and how lineage fixes the alerts.
Read articledbt Dependency Graph and How to See It, Use It and Know Where It Stops
How dbt builds its DAG from ref and source calls, the three ways to read it, the graph operators worth knowing, and what lives outside the graph entirely.
Read articleRoot Cause Analysis for Data Pipelines in Four Steps
A repeatable method for tracing a wrong number back to its cause: pin the symptom, walk the lineage, check three failure classes, confirm with timestamps.
Read articleWhat Is Data Lineage? A Plain-English Guide for Data Teams
What data lineage is, why it matters, and how table and column-level lineage let you trace any number to its source and see what breaks before a change ships.
Read articleWhat Is Data Observability? The Five Pillars Explained
Data observability is how you know your data is fresh, complete, and correct. Learn the five pillars, how it differs from monitoring, and where lineage fits.
Read articleData Lineage Example Tracing Revenue From Source to Dashboard
A concrete data lineage example: follow orders.revenue from a raw Stripe table through staging and models to the dashboards that depend on it, column by column.
Read articleWhat Is Data Downtime, and What Does It Cost You?
Data downtime is any period when your data is wrong, missing, or stale. Learn how it happens, how to measure it, and how to catch it before a person does.
Read articleHow to Build Data Lineage Manually, with dbt or Automatically
How to build data lineage three ways: by hand, from dbt, and automatically from query logs. The tradeoffs, the staleness problem, and what column-level adds.
Read articleData Observability vs Data Quality and How They Differ
Data observability and data quality are related but not the same. Learn how monitoring, testing, and lineage fit together, and where each one catches problems.
Read articleBest Data Observability Tools in 2026 and How to Choose
The best data observability tools compared on lineage depth, freshness and schema monitoring, impact analysis, pricing model, and time to value. How to choose.
Read articleBigQuery Data Lineage Across Columns and Datasets
How BigQuery data lineage works, what INFORMATION_SCHEMA and audit logs give you, where they stop, and how to get automatic column-level lineage that stays current.
Read articleColumn-Level Lineage Explained and Why Table-Level Is Not Enough
Column-level lineage traces a single field through every transformation. Why table-level lineage misses breaks, and how column lineage answers what feeds a number.
Read articleSnowflake Data Lineage Guide to Tracing Data Flow
How Snowflake data lineage works with ACCESS_HISTORY and QUERY_HISTORY, what you can build yourself, and how to get automatic column-level lineage.
Read articleDownstream Impact Analysis of Data Changes and What a Column Change Will Break
How to find every downstream dependency of a table before you change it: query history, column-level parsing, and the chain out to the dashboards in use.
Read articleUnity Catalog vs Purview on Pricing, Lineage and Which to Buy for Databricks
Unity Catalog vs Purview on price: Unity Catalog comes with the Databricks Premium uplift ($0.15 to $0.30 per DBU-hour), Purview bills $0.0165 per asset per day. Which to buy.
Read articleUnity Catalog Lineage and What Databricks Data Lineage Captures and Misses
Unity Catalog captures column-level lineage on Databricks. What it covers, the documented gaps around renames, path reads and the one-year window, and the fix.
Read articleData Observability Pricing and What Actually Drives the Quote
Data observability pricing from real rate cards: Monte Carlo $50,000, Sifflet $48,000, Bigeye $45,000 per 100 tables, Datafold $15,000. What moves your quote.
Read articlePut it into practice
Connect your warehouse read-only and see your lineage map in 15 minutes. Transparent pricing, no card to start.