Now reviewing Q4 pilot applications

Compare Options for Managed Data and Analytics Consulting

One customer spent $1,000,000 on consultants before they called us.Don’t make the same mistake.

We connect your systems, build your reporting, and keep it running, so you finally get numbers you can trust in a meeting.

SOC 2 compliant
Snowflake partner
dbt
Allbirds
Tecovas
Outdoor Voices
DanceOne
ThePawPrint
ELEVATEPFS
Livingood Daily
Pro-Vac

Choose Stackless if you don’t want to see the work back on your desk in six months

Whether you're pricing a fractional data team, comparing data analytics consulting firms, or working out what a data warehouse costs to build in-house, this is how a fully managed option like Stackless compares.

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Comparison of an in-house engineer, a consultancy, buying a point tool, and Stackless
Comparison pointIn-house engineerConsultancyBuy a point toolStackless
TIME TO FIRST RESULT3—6 months to ramp6—12 week engagementsWhenever you build it30 days
COST$300K+ a year, plus ramp~200K for the first bill, plus change requestsPer seat, per volumeFlat monthly
WHO BUILDS EVERYTHINGOne engineerA project team, within scopeYou doUs, at one flat rate
WHEN SOMETHING BREAKSThey're backloggedThe engagement is overFile a support ticketWe fix it. That's the job.
WHO OWNS THE WORKThey doLocked in their stackA subscriptionYou own everything
WHO RUNS A REPORTThe engineer, when they're freeTheir analysts, on their timelineWhoever learns the toolAnyone on your team
THE REPORTSWhatever they have time to buildCanned templates, re-skinnedWhatever the tool supportsBuilt around your business
MONTH 12Gives noticeLong goneStill a tool to manageStill here
IF IT DOESN'T WORK OUTRehire and start overHire the next firmMigrate everythingWalk away with a working system

Comparison 01

In-house engineerversusStackless

TIME TO FIRST RESULT

In-house engineer3—6 months to ramp

Stackless30 days

COST

In-house engineer$300K+ a year, plus ramp

StacklessFlat monthly

WHO BUILDS EVERYTHING

In-house engineerOne engineer

StacklessUs, at one flat rate

WHEN SOMETHING BREAKS

In-house engineerThey're backlogged

StacklessWe fix it. That's the job.

WHO OWNS THE WORK

In-house engineerThey do

StacklessYou own everything

WHO RUNS A REPORT

In-house engineerThe engineer, when they're free

StacklessAnyone on your team

THE REPORTS

In-house engineerWhatever they have time to build

StacklessBuilt around your business

MONTH 12

In-house engineerGives notice

StacklessStill here

IF IT DOESN'T WORK OUT

In-house engineerRehire and start over

StacklessWalk away with a working system

Comparison 02

ConsultancyversusStackless

TIME TO FIRST RESULT

Consultancy6—12 week engagements

Stackless30 days

COST

Consultancy~200K for the first bill, plus change requests

StacklessFlat monthly

WHO BUILDS EVERYTHING

ConsultancyA project team, within scope

StacklessUs, at one flat rate

WHEN SOMETHING BREAKS

ConsultancyThe engagement is over

StacklessWe fix it. That's the job.

WHO OWNS THE WORK

ConsultancyLocked in their stack

StacklessYou own everything

WHO RUNS A REPORT

ConsultancyTheir analysts, on their timeline

StacklessAnyone on your team

THE REPORTS

ConsultancyCanned templates, re-skinned

StacklessBuilt around your business

MONTH 12

ConsultancyLong gone

StacklessStill here

IF IT DOESN'T WORK OUT

ConsultancyHire the next firm

StacklessWalk away with a working system

Comparison 03

Buy a point toolversusStackless

TIME TO FIRST RESULT

Buy a point toolWhenever you build it

Stackless30 days

COST

Buy a point toolPer seat, per volume

StacklessFlat monthly

WHO BUILDS EVERYTHING

Buy a point toolYou do

StacklessUs, at one flat rate

WHEN SOMETHING BREAKS

Buy a point toolFile a support ticket

StacklessWe fix it. That's the job.

WHO OWNS THE WORK

Buy a point toolA subscription

StacklessYou own everything

WHO RUNS A REPORT

Buy a point toolWhoever learns the tool

StacklessAnyone on your team

THE REPORTS

Buy a point toolWhatever the tool supports

StacklessBuilt around your business

MONTH 12

Buy a point toolStill a tool to manage

StacklessStill here

IF IT DOESN'T WORK OUT

Buy a point toolMigrate everything

StacklessWalk away with a working system

30-day guarantee

Tell us your most frustrating data problem. We'll solve it in 30 days or the pilot's free.

Apply for a Pilot

The 30-day guarantee applies to the first defined problem in a paid pilot. Clock begins once access to source systems is granted.

What each option is actually good at, and where it falls apart

Each option has pros and cons

Hire a data engineer

What's good about it

Someone in-house, dedicated, who learns how your business actually works.

Where it breaks

One person can't cover ingestion, warehousing, transformation, and reporting. That's four jobs. Recruiting takes months and ramping takes longer. And when they leave, they leave with everything they never wrote down.

Bring in a consultancy

What's good about it

Real expertise, fast, with no headcount on your books.

Where it breaks

The engagement ends. They scope it, build it, hand you documentation, and invoice the hours. Six months later something breaks and nobody remembers how it was wired. They're also paid by the hour, which is a strange incentive to hand someone working against your timeline.

Buy a point tool

What's good about it

Genuinely best-in-class at the one thing it does, and you can buy it this afternoon.

Where it breaks

A connector platform moves your data and stops. A dashboard tool draws whatever you feed it, right or wrong. Each tool owns one layer and hands the other three back to you, along with the job of making them agree.

Build it yourself

What's good about it

Total control, and on the spreadsheet it's the cheapest line.

Where it breaks

It stays cheapest right up until the person who built it moves on. Plenty of our inbound comes from companies whose internal build technically works — until the connectors are all hand-written, the transformation layer never made it to production, and the math happens inside the dashboard because that's where it fit at the time.

Every one of these companies ended up with one set of numbers they could finally trust.

Different industries, different systems, but the same big mess. Here's what changed after we put all of their data in one place.

Pro-Vac logo

Infrastructure Services

7 → 1

7 systems unified, after $1M already spent on consultants.

A million dollars of consulting didn't get it done. We unified all seven systems, and three of their four regions now run on what we built.

DanceOne logo

Entertainment & Events

400K+

Unified 2 distinct registration systems with 400k customer records

We consolidated two distinct customer registration systems with over 400,000 accounts, enabling a unified customer loyalty program.

V Shred logo

Health & Fitness

$50M+

Unified millions of records to optimize $50M+ in annual ad spend.

We stitched millions of customer records together for one of the country's largest digital fitness brands, cutting the time to answer a lifetime-value question from 24 hours to three.

The Paw Print logo

E-Commerce

3 min

Reached 85% unique lead rate & cut data lag from 24 hours to 3 minutes

We connected the five platforms behind a fast-scaling personalized pet-products company, so it stopped paying to re-acquire customers it already had.

Livingood Daily logo

Health & Wellness

6+ → 1

Unified 6+ ad platforms and improved ROAS by double digits.

We pulled six-plus ad platforms into one view for a high-growth supplement brand and closed the attribution gaps that were hiding what its advertising actually did.

And the people who use it every day love it

01 / 06
DanceOne logo
“Stackless helped us bring together two major live event systems with complicated data and turn it into something we can actually use across our organization.”

DANIELLA BUXBAUM · DIRECTOR

Whatever your job is, we'll make it easier

Managed data analytics and reporting built around the job you actually do.

Operations

Know which regions are actually making money, including the ones you acquired that still run their own systems.

RegionRevenueMargin
Northwest$412,38038%
Southwest$388,90541%
Central$296,11422% ▼
Southeast$341,27036%

Finance

Close the month without copy-pasting from 20 different spreadsheets and rebuilding four exports by hand.

Month close · March

GL total$2,841,203.11
Bank + processors$2,841,203.11
Variance$0.00

✓ Closed in 2 days

Marketing

Stop guessing, and see what spend actually produced revenue, even when the sale doesn't happen on your website.

Revenue by source · 30 days

Meta$684K
Google Ads$541K
HubSpot$358K
shopify$192K

Leadership

Review one dashboard every morning, built on numbers that agree, without anybody arguing about whose spreadsheet is right.

Today's net revenue

$147,203▲ 8.2%

✓ Sources agree: 14/14

We connect to everything you already run.

Data sources

ServiceTitan
Shopify
NetSuite
Sage Intacct
Salesforce
HubSpot
Google Ads
Meta Ads
QuickBooks
SAP
PostgreSQL
MySQL
MongoDB
REST APIs
Stackless

One warehouse · One model · One truth

Infrastructure

Snowflake
Fivetran
dbt

Don't see your system? We probably support it. We've connected to over 500 data sources across every major industry.

Nobody on your team has to learn a new job for this to work

There's no onboarding curriculum here. Your team asks for what it needs, and we make sure it's there.

/01

We plug into your systems.

Every source your business runs on, including the legacy ones nobody wants to open.

/02

We make sense of the chaos.

Raw data on its own is useless. We clean it, model it, and build in the business logic that turns disconnected tables into numbers your team can act on.

/03

We get your data where it needs to go.

Dashboards for your team, reports for your board, and clean structured data feeding the applications that run your business.

Frequently Asked Questions

We already have some of this working. Do we start over?

No. Most companies come to us with something half-built: hand-written connectors, a warehouse holding raw copies of source data, the math happening inside a dashboard. We keep what works, put managed infrastructure underneath it, and take over the parts nobody wants to maintain.

What if we already have a data team?

Then they get their week back. A small or stretched data team spends most of its time servicing report requests, because they're the only translation layer between the business and the data. We remove that bottleneck and hand them a platform to run instead of a queue to clear.

Do you lock us in?

No proprietary formats and no lock-in. You keep access to every system we build, and if you leave, you leave with a working warehouse and models you own.

How is this different from hiring a consultant?

A consulting engagement ends. Ours doesn't. Consultants scope a project, build it, hand you documentation, and invoice the hours… and six months later something breaks and nobody remembers how it was wired. Pro-Vac spent about a million dollars that way before they called us. We build it and then we keep operating it, for a flat monthly fee, with nobody incentivized to make the work take longer.

Why apply for a pilot instead of just booking a demo?

You can book a consultation right now, that's the button at the top of this page. The pilot is the step after, and it exists because a demo on somebody else's data proves nothing, and you've probably sat through a few already. We'd rather prove it on your systems. We also turn down work that isn't a fit, and it's cheaper for both of us to find that out on a call than a quarter in.

Let’s clean up your data.

Start with the problem that's been bugging you the longest. We'll fix that one in 30 days, and then we'll talk about the rest.

SOC 2 compliant
Snowflake partner
dbt
Fivetran

The 30-day guarantee applies to the first defined problem in a paid pilot. Clock begins once access to source systems is granted.

What data problem should we start with?

Tell us what is slowing your team down. We’ll review it and follow up with the right next step.

This form opens your email app so you can review the request before sending. You can also email hello@stacklessdata.com directly.