Dwh.dev vs Eppo vs Funnel: Which Is Right for You in 2026?
These three tools operate at different layers of the data stack rather than competing head-to-head: Dwh.dev provides column-level data lineage purpose-built…
Best for: Marketing teams that need to centralize dozens or hundreds of ad and marketing data sources into one reporting layer.
At a Glance
Dwh.dev
Eppo
Funnel
Primary category
Analytics
Analytics
Analytics
Rating
Not documented
Not documented
Not documented
Pricing model
Freemium
Contact for pricing
Subscription
Starting price
Free
Not documented
$300/month (billed annually)
Free plan
Yes
Not documented
Not documented
Free trial
Not documented
Not documented
Not documented
Platforms
Web
Web
Web
Team collaboration
Not documented
Not documented
Not documented
AI features
Not documented
Yes
Not documented
Public API
Yes
Yes
Yes
Standout Differences
Three different teams, three different jobs
Dwh.dev sits at the data-engineering layer (lineage and schema-change impact for Snowflake), Eppo sits at the product-experimentation layer (A/B tests and feature flags), and Funnel sits at the marketing-reporting layer (aggregating 600+ ad sources). Almost no buyer would evaluate all three for the same use case.
Dwh.dev, Eppo, Funnel
Eppo is now Datadog Experiments
Eppo is no longer sold under its own name — Datadog acquired it in 2025 and now offers it as Datadog Experiments, which matters for anyone doing procurement or vendor research under the old brand.
Eppo
Very different pricing motions
Dwh.dev has a free entry point, Funnel is a subscription starting around $300/month billed annually, and Eppo/Datadog Experiments pricing is quote-only — a spread that reflects three different buyer sizes and sales motions rather than three competing price points for the same product.
Dwh.dev, Funnel, Eppo
Snowflake-specific vs. broader scope
Dwh.dev is explicitly purpose-built for Snowflake, while Funnel's marketing data aggregation and Eppo's warehouse-native experimentation aren't documented as being restricted to a single warehouse or platform.
Dwh.dev
Feature-by-Feature
Availability & Pricing
Feature
Dwh.dev
Eppo
Funnel
Free tier
Available
Not documented
Unavailable
Published starting price
Available
Unavailable
Available
Sold under original standalone brand name today
Available
Unavailable
Available
Core Capability
Feature
Dwh.dev
Eppo
Funnel
Data lineage & schema-change impact tracking (Snowflake)
Available
Unavailable
Unavailable
A/B testing & feature flags
Unavailable
Available
Unavailable
Marketing data source aggregation (600+ sources)
Unavailable
Unavailable
Available
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Dwh.dev
Free — $0 free
Pro — $3,000/month monthly
Enterprise — Custom pricing annual
Eppo
No individual plan breakdown documented yet.
Funnel
Starter — $300/month yearly
Business — $600/month yearly
Enterprise — Custom yearly
Pros & Cons
Dwh.dev
Pros
Deep, Snowflake-specific lineage support rather than generic multi-database coverage
Column-level detail helps pinpoint exact impact of schema changes
Offline static analysis reduces the need for constant live database access
Available directly through the Snowflake Marketplace for easier procurement
Cons
Pro plan pricing at $3,000/month puts it out of reach for small teams
Narrow focus on Snowflake limits usefulness for multi-warehouse organizations
Founding year and headquarters are not clearly documented publicly
Free tier's 100-object cap is small for any real production pipeline
Eppo
Pros
Keeps sensitive experiment data inside a company's own warehouse rather than a third-party silo
Advanced statistics (CUPED++, sequential testing) reduce the traffic needed to reach significance
Combines experimentation, feature flags, and metric governance in one platform
Backed by Datadog's engineering and support resources following the 2025 acquisition
Used in production by large-scale companies like Coinbase, Twitch, and DraftKings
Cons
No public pricing; every deal requires a sales conversation
Warehouse-native model assumes a modern data stack already exists, which raises the bar for smaller teams
Future roadmap and branding are in flux as Datadog integrates the product
Best value is realized only with meaningful traffic and a dedicated analytics function
Funnel
Pros
Very large connector library covering hundreds of ad and marketing platforms
Reduces manual data wrangling and spreadsheet exports for marketing teams
Published, transparent starting prices for its Starter and Business tiers
Established company with over a decade in the marketing data space
Starting price of $300/month puts it out of reach for very small marketing teams
Advanced measurement features are sold as an add-on rather than included by default
Enterprise pricing is fully custom and requires a sales conversation
Best value requires managing data across many channels, so single-channel advertisers may not need its full connector library
Use Cases
Choose Dwh.dev: Data engineering teams running Snowflake who need visibility into pipeline dependencies and the downstream impact of schema changes.
Choose Eppo: Product and growth teams that need warehouse-native experimentation and feature flagging, accessed today as Datadog Experiments.
Choose Funnel: Marketing teams that need to centralize dozens or hundreds of ad and marketing data sources into one reporting layer.
Dwh.dev
Schema change impact analysis — Data engineers check column-level lineage before altering a table to see what breaks downstream.
Incident root-cause tracing — Teams trace a broken dashboard back through pipeline dependencies to find the source of bad data.
New engineer onboarding — New data team members use lineage maps to understand unfamiliar pipelines faster.
Eppo
Running statistically rigorous A/B tests — Product teams design experiments and let Eppo's engine handle sample size, significance, and variance reduction automatically.
Safe feature rollouts — Engineering teams gate new functionality behind flags and expand exposure gradually while watching for regressions in key metrics.
Company-wide metric governance — Analytics teams define one shared set of vetted business metrics so every experiment reports results consistently.
AI and personalization testing — Teams evaluate changes to AI models or personalized experiences using the same statistical rigor applied to standard UI experiments.
Funnel
Cross-channel marketing reporting — A marketing team consolidates ad spend and performance data from a dozen platforms into one recurring report.
Agency client reporting — An agency automates recurring, branded reports for many clients instead of manually pulling data from each ad platform.
Marketing measurement and attribution — A brand runs incrementality tests and multi-touch attribution to evaluate which channels actually drive conversions.
Frequently Asked Questions
Is Eppo still available to buy under the name 'Eppo'?
Not as a standalone company. Datadog acquired Eppo in 2025, and the product is now sold as Datadog Experiments rather than as an independent purchase.
Which of these is built for data engineers versus marketers?
Dwh.dev targets data engineering teams, giving column-level lineage visibility into pipeline dependencies and schema changes for Snowflake. Funnel targets marketing teams, connecting 600+ advertising and marketing data sources into centralized reports and dashboards. Eppo (Datadog Experiments) targets product and growth teams running experiments and managing feature flags.
Which of the three has a free plan?
Dwh.dev offers a free plan. Funnel starts around $300/month billed annually with no free tier documented. Eppo, now Datadog Experiments, is quote-only with no published free tier.
Does Dwh.dev work with data warehouses other than Snowflake?
That isn't documented in available information — Dwh.dev is described specifically as a data lineage platform purpose-built for Snowflake, so buyers on other warehouses should confirm compatibility directly.
What does Funnel actually do?
Funnel connects to more than 600 advertising and marketing data sources, centralizes that data, and turns it into reports and dashboards for marketing teams. It's a data aggregation and reporting tool, not an experimentation platform like Eppo or a lineage tool like Dwh.dev.
Would a company realistically choose between all three of these tools?
Rarely as direct alternatives — they solve different problems for different teams. A company might use all three simultaneously: Dwh.dev for data engineering lineage, Eppo/Datadog Experiments for product experimentation, and Funnel for marketing reporting, since they don't overlap in function.