Hardal vs In-house Cloud

Hardal compares to building your server-side measurement stack in-house on AWS, Azure, or GCP. Running your own sGTM, Meta Conversions API, TikTok Events API, and data management pipeline means owning every server, integration, and update yourself. Hardal gives you the same first-party data ownership as an in-house build, fully managed, in days instead of months.

	First-party Data Platform	In-house Cloud
Data ownership	100% first-party	Self-managed
Server-side Google Tag Manager (sGTM)	Managed	Build & maintain yourself
Meta Conversions API (CAPI)	Managed	Build & maintain yourself
TikTok Events API (eAPI)	Managed	Build & maintain yourself
Customer data unification
Web & mobile analytics
ETL / data governance		Custom build
Auto PII hashing & redaction
Implementation time	1-3 days	4-6 months
Required expertise	None	DevOps + Cloud
Ongoing maintenance	Included	10-20 hrs/month
Scaling	Automatic	Manual
Data accuracy	Up to 99%	70-80%
Support	Dedicated	Internal team only
Monthly cost	From $249	$3,500-$6,500+

Details above are indicative, based on typical in-house implementation costs and timelines. Your own numbers will vary with team size, cloud provider, and scope.

When to use Hardal vs an in-house cloud setup

• Choose Hardal when you want first-party data ownership and a complete sGTM, Meta CAPI, and TikTok eAPI setup without hiring a DevOps team or spending months in development. Hardal ships the same architecture you'd build on AWS, Azure, or GCP, fully managed, with automatic scaling, security updates, and compliance built in.

• Choose an in-house cloud build when you have a dedicated DevOps and data engineering team, need a fully custom architecture beyond standard server-side tracking, and have the budget and timeline (typically 4-6 months and $3,500-$6,500+/month) to build and maintain it yourself.

Both approaches give you first-party data ownership. The difference is speed, cost, and who carries the maintenance burden, your team or Hardal's.