Blog
Data observability, explained
Guides, the five pillars, and practical playbooks for catching broken data before your stakeholders do.
Ataccama vs Informatica Pricing and What Each Costs a Data Quality Team per Year
Ataccama vs Informatica pricing read at source. Informatica lists 131,760 USD a year for 120 IPUs a month on AWS, Ataccama prints no price (median deal 133,100 USD).
Read articleDeequ Alternatives for Managed Data Quality Monitoring and What Each Costs
Deequ alternatives priced at source: AWS Glue Data Quality at 0.44 USD per DPU-hour, Datadog at 16 USD per table, Bigeye 45,000 a year, and 179/mo for 250 tables.
Read articleAcceldata vs Datadog Pricing for Data Observability and Which Costs Less
Acceldata vs Datadog pricing checked at source. Datadog lists Quality Monitoring at 16 USD per table a month, Acceldata charges 5,000 USD a year per monitored TB.
Read articleAtaccama vs Collibra Pricing and Which Platform Costs Less per Year
Ataccama vs Collibra pricing checked at source. Collibra lists 170,000 USD a year on AWS, Ataccama prints no price (median deal 133,100 USD), and data quality is scoped in each quote.
Read articleAtlan vs Collibra Pricing and Which Catalog Costs Less per Year
Atlan vs Collibra pricing checked at source. Collibra lists 170,000 USD a year on AWS, Atlan prints no price (median deal 50,420 USD), and data quality costs extra.
Read articleAlation vs Collibra Pricing and What Each Catalog Costs a Data Team per Year
Alation vs Collibra pricing read at source. Alation starts at 60,000 USD a year on AWS Marketplace, Collibra lists 170,000, and neither includes data quality.
Read articlePurview vs Collibra Pricing and What Each Costs a Governance Program per Year
Purview vs Collibra pricing read at source. Purview meters governed assets and DGPUs at 15 USD each, Collibra lists 170,000 USD a year on AWS Marketplace.
Read articleMonte Carlo vs Soda Pricing and What Each Costs a Data Team in a Year
Monte Carlo vs Soda pricing read at source. Soda Team at 750 dollars a month plus unpriced SPUs against Monte Carlo credits and a 50,000 dollar AWS contract.
Read articleInformatica Data Quality Alternatives Priced for Cleansing and Warehouse Monitoring
Informatica Data Quality alternatives by job: Ataccama, Qlik Talend, Collibra and Qualytics for cleansing, observability tools for warehouse monitoring, priced.
Read articleBest Data Observability Tools for Redshift Compared on Price and Redshift Support
Best data observability tools for Redshift: seven options compared on billing, first-year cost, and the Redshift details that trip monitors up.
Read articleBest Data Observability Tools for SQLMesh Compared on Price and SQLMesh Support
Which data observability tool is best for SQLMesh: five options compared on whether they read the SQLMesh project, how they bill, and what they cost per year.
Read articleData Observability Platforms Under $100K a Year and Their Contract Prices
Qualytics 60,000, Monte Carlo 50,000, Sifflet 48,000, Bigeye 45,000, Acceldata 10,000: the yearly list prices under six figures, checked at source, and what pushes them over.
Read articleLightup vs Acceldata Pricing and Which Data Quality Platform Costs Less
Acceldata sells a 10,000 dollar annual contract on AWS. Lightup publishes no price and has no listing. Both checked at the source, plus what to ask in the call.
Read articleSifflet vs Datadog Pricing and Which Data Observability Tool Costs Less
Sifflet sells one 48,000 dollar annual contract. Datadog bills per host-hour and per job-hour. Both meters checked at the source, plus the spillover charges.
Read articleDatafold Data Diff Alternatives and What to Use After the Open Source Sunset
Datafold archived open source data-diff in May 2024. The maintained forks, the dbt-native options, and what Datafold Cloud costs now that its price is gone.
Read articleMetaplane vs Datadog Compared on Pricing, Meters, and Which One to Buy
Metaplane bills per monitored table, Datadog bills per host-hour. Both prices checked at the source, plus the one Datadog data product with no published rate.
Read articleAnomalo vs Great Expectations Compared on Pricing, Detection, and What to Buy After GX Cloud
GX Cloud left the market on June 1, 2026, so this is now a free library against a platform with a 115,000 dollar median contract. Prices, detection, and fit.
Read articleElementary Data Pricing With Elementary Cloud Cost and the 120,000 Dollar Marketplace Floor
Elementary Cloud once listed 650 and 1,600 dollars a month. Today every tier says Talk to us, table caps fell 5x, and AWS Marketplace starts at 120,000 a year.
Read articleEnterprise Data Observability Cost and What Each Platform Actually Charges in 2026
Enterprise data observability runs 45,000 to 221,000 dollars a year where anything is published at all. Every public figure, and why the totals are not comparable.
Read articleCoalesce Quality Pricing and What Data Observability Costs After the SYNQ Acquisition
Coalesce does not sell Quality separately. It is bundled with Transform and metered in actions, where a monitor refresh costs the same as a pipeline run.
Read articleDatadog Data Observability Pricing for Quality Monitoring and Jobs Monitoring
Datadog data observability pricing read at source: Quality Monitoring at 16 USD per table a month, Jobs Monitoring from 0.05 USD per host hour, and where Metaplane sits.
Read articleMetaplane Pricing by Tier and Where the Limits Bite
Metaplane publishes tier limits but no dollar figure. What Free, Pro and Enterprise include, and why the custom SQL monitor ceiling stays in single digits.
Read articleTableau Data Management Pricing for Catalog and Data Quality Warnings
Tableau stopped selling Data Management as an add-on in September 2024. What that changed, why the meter counts seats rather than tables, and when the upgrade is worth it.
Read articleSnowflake Data Quality Tools for Standard Edition and Their Pricing Without Enterprise
Data metric functions need Enterprise Edition, so Standard accounts are locked out. Six options compared on what they cover, what you build, and what they bill.
Read articleData Quality Monitoring Pricing and Native Meters on BigQuery, Snowflake, Databricks and dbt
What native data quality monitoring really costs on five platforms: four of the five meters charge you more for checking more often.
Read articleBest Data Observability Tools for BigQuery Compared on Price, Coverage and Alerting
Seven options for monitoring BigQuery compared on how they bill, the native limits that end most native-only plans, and whether alerts reach your on-call.
Read articleBest Data Observability Tools for Databricks Compared on Price, Coverage and Alerting
Six options for monitoring Databricks compared on how they bill, what the native Unity Catalog checks refuse to watch, and whether alerts reach your on-call.
Read articleBest Data Observability Tools for dbt Compared on Price, Coverage and Alerting
Seven credible options for monitoring a dbt project compared on how they bill, how much YAML each table costs, and whether a failing test reaches on call.
Read articleBest Data Observability Tools for Snowflake Compared on Price, Coverage and Alerting
Seven credible options for monitoring Snowflake compared on how they bill, what each one configures per table, and whether an alert reaches on call.
Read articleData Observability Pricing Models (Per Table, Per Monitor, Credit Contracts)
The four meters data observability tools bill on, which vendors use each one, the sub-limits that decide your tier, and how to normalize competing quotes.
Read articleData Quality Alerts for Power BI and Tableau That Catch Freshness and Null Rate Issues
What Power BI data alerts and Tableau data quality warnings can genuinely catch, the documented limits on each, and where freshness and null rate alerts belong.
Read articledbt Lineage Graph From Source to Dashboard and How to Visualize It
The three places a dbt lineage graph comes from, what dbt docs and dbt Catalog each show, the parsing gaps, and how to cover what dbt cannot see.
Read articleData Lineage Vendor Quotes and What Information to Prepare First
Lineage vendors quote by sales call. The four numbers to count first, the seat question that moves price most, and how to normalize quotes across years.
Read articleData Quality Checks in Airflow With SQL Check Operators Explained
How the six Airflow SQL check operators work, with runnable examples, the defaults that quietly let bad data through, and the three limits to plan around.
Read articleGreat Expectations in 2026 and What Happened to GX Cloud
GX Cloud was acquired by FICO and pulled from public availability on June 1, 2026. GX Core is Apache-2.0 and stewarded by Fivetran. What that means for buyers.
Read articleAWS Glue Data Quality With DQDL Rules and Anomaly Detection
How AWS Glue Data Quality works: DQDL rules, rule recommendations, analyzers and ML anomaly detection, plus its documented limits.
Read articleData Quality Checks in Databricks With Expectations, DQX and SQL
The working code for Lakeflow expectations, DQX, Unity Catalog anomaly detection, and data profiling, plus the documented limit that decides which one fits.
Read articleHow to Detect Anomalies in Snowflake with SQL
The working SQL for SNOWFLAKE.ML.ANOMALY_DETECTION, why the default flags one percent of every table, how much history it needs, and the limits to design for.
Read articleData Warehouse Incident Detection and the 4 Signals That Work
Data warehouse incident detection that works while every pipeline job is green: the four signals that catch a broken table in minutes, and a tool from 59 dollars a month.
Read articleColumn Level Lineage in dbt and What It Still Misses
dbt column level lineage lives in dbt Catalog on Enterprise plans only, and stops at the project boundary. What it covers and the options on dbt Core.
Read articleData Quality Dimensions and the 6 That Matter Most
Completeness, accuracy, consistency, timeliness, validity, uniqueness: what each dimension measures, how to calculate it, and which four you can automate.
Read articleBuild vs Buy Data Observability and the Real Cost of DIY
What an in-house data monitoring stack actually costs: two engineer quarters to parity, ongoing maintenance, and the warehouse compute bill nobody budgets for.
Read articleWhat Is Data Observability? A Plain-English Guide
What data observability is, why it matters, and how the 5 pillars work together to catch broken data before your stakeholders ever see it.
Read articleThe 5 Pillars of Data Observability, With Examples
Freshness, volume, schema, distribution, and lineage: what each pillar of data observability covers, what breaks when it is missing, and how to monitor it.
Read articleData Downtime - What It Costs and How to Reduce It
Data downtime is the time your data is wrong, missing, or late. Learn how to measure it, why it is expensive, and the practices that bring it down.
Read articleHow to Choose a Data Observability Tool With a Buyer Checklist
The seven checks that decide whether a data observability tool works on your stack, an honest tool-to-team-profile map, and what to measure during a trial.
Read articleData Observability Architecture Layers and a Reference Design
The five layers of a data observability architecture, how lineage is actually derived, and an honest build-versus-buy comparison for data teams.
Read articleData Quality Metrics Worth Tracking and Their Formulas
The data quality metrics that actually change decisions, how to calculate each one, the traps inside them, and how to build a scorecard people read.
Read articleData Quality for AI and Monitoring the Pipelines Behind RAG and Agents
Stale embeddings, silent parsing regressions, sources that stop syncing: the AI data failures classic BI monitoring misses, and how to catch them.
Read articleData Quality Checks in Snowflake With DMFs, Cost, and Anomaly Detection
Snowflake data metric functions, expectations, and native anomaly detection: the SQL, the edition requirements, the credit cost, and where they stop.
Read articleData Observability vs Data Governance and How They Work Together
Governance sets the rules for data. Observability checks the data is healthy right now. The difference, where they overlap, and which to invest in first.
Read articleHow to Reduce Data Monitoring Costs on Snowflake
Most surprise Snowflake monitoring bills come from scanning rows on every check. Read metadata instead, right-size the warehouse, and space out checks.
Read articleAmazon Redshift Monitoring for Data Quality, Freshness, and Anomalies
How to monitor data quality in Amazon Redshift: freshness and volume from system tables, schema drift, anomalies, and where native tools stop.
Read articledbt Cloud Data Observability Features and What Is Missing
The four observability features dbt Cloud actually ships, the gaps they leave, and when it makes sense to add a data observability tool alongside dbt.
Read articleData Catalog vs Data Lineage and Whether You Need Both
A catalog helps people find and understand data. Lineage traces how it flows and what breaks. Where they overlap, and which to buy first.
Read articlePut it into practice
Connect a warehouse and get all five pillars monitoring from one read-only connection. Transparent pricing, no credit card.