VSabdriven or ABlyft

Two German tools.
One real difference.

ABlyft is a solid platform with a clear privacy focus and hosting in Germany. abdriven goes one step further: it does not run at our place, it runs at yours.

The short answer

If you want a hosted platform where somebody else takes care of operations, ABlyft is a serious choice, particularly in German-speaking markets. If your requirement is that visitor data must not leave your own network, or if you look after several clients under one roof, abdriven is the better fit.

CriterionabdrivenABlyft
OperationsHosted in Germany
Data sent to the vendorAggregated, and according to the vendor without personal data
Snippet from your own domainSelf-hosting of the snippet possible
Prices publishedFree plan, otherwise on request
Free to startYes
Agency and client structureNot public
MCP for AI agentsNot public
Two-factor loginYes
Server-side experimentsYes
German interfaceYes

Checked on 21 September 2026 against the vendor’s own public information. Prices and features change, verify them with the vendor before deciding.

When abdriven fits

  • Your compliance rules require that visitor data does not leave your own infrastructure.
  • You look after several clients and want to pass on results without a login.
  • You want to know what it costs up front instead of requesting a quote.
  • AI agents should create experiments and summarise results.

When ABlyft is the better choice

  • You do not want to run a server or apply updates.
  • You need two-factor login or server-side experiments today.
  • You want to start without talking to anybody first. ABlyft has a permanently free plan, we have 14 guided days.

FAQ

Questions about this comparison

Isn’t self-hosted more work?

It is one Node process with a SQLite file behind your usual reverse proxy. If you already run a server, it is up within the hour. If you would rather not, a hosted solution serves you better.

Can I move from ABlyft to abdriven?

You swap the snippet and recreate goals and audiences. Finish running experiments cleanly first, switching mid-test makes the result unusable.

Make your next change an informed one

Less guesswork.
More now we know.

One question is a good place to start.