ACCELQ vs Opkey
Both market on low-code authoring and self-healing, and from outside the claims are hard to separate. The useful question is which performs better against your applications.
Also searched as: Opkey vs ACCELQ
- Test Automation Tool A
- Test Automation Tool B
- Manual
Model ACCELQ vs Opkey on your estate
We have not measured these products and publish no cost for either. Choose how each should be modelled and the 5-year comparison appears below.
Choose a category for ACCELQ and Opkey to see the chart. Or skip straight to the calculator and enter measured figures instead.
Open the CalculatorThe scenario these figures describe
- One application with 300 test cases (90 basic, 150 average, 60 complex).
- 12 full regression runs a year, each finding about 5 defects.
- 40 new cases added a year as the product grows.
- A loaded cost of $120k per engineer per year across 1800 working hours.
- A 5-year horizon.
Reference: what each category of tooling costs at this scenario
By category only — the numbers the chart above is built from.
| Cost over 5 years | AI-native tool | Legacy script tool | Manual + enterprise ALM |
|---|---|---|---|
| Labour | $39,867 | $166,367 | $439,117 |
| Licensing | $150,000 | $37,500 | $120,000 |
| Infrastructure | $30,000 | $60,000 | $0 |
| Total | $220k | $264k | $559k |
| Build effort | 143 hrs | 843 hrs | 201 hrs |
Both position on the same capabilities, so published material will not separate them
Both market on low-code authoring and self-healing, and from outside the claims are hard to separate. What is useful is the cost shape for tooling of this class — then a proof-of-concept on your own applications to see which actually heals faster.
The variable that actually separates them is coverage of your stack
For packaged applications the constraint is rarely authoring speed in the abstract — it is whether the tool understands the version and customisations you run. Run both against your least standard application, not your most standard. That is where five-year cost is decided.
Sensitivity: change the repair rate first
Self-healing is a claim about repair rate. If a proof-of-concept shows one tool holding up better across an upgrade, changing that single percentage moves the five-year total more than any licence difference either vendor is likely to quote.
About each tool
Sourced, dated facts only — no cost estimates.
ACCELQ
Codeless enterprise platform
Cloud-native codeless automation covering web, API, mobile and packaged enterprise applications, positioned for business-logic-heavy enterprise testing.
- Coverage Web, API, mobile, desktop and packaged apps including SAP and Salesforce. source
- Pricing model Subscription licensing published per user tier. source
Last reviewed 2026-09-09
Opkey
Packaged-app continuous testing
Continuous test automation aimed at packaged enterprise applications, with low-code authoring intended for testers without scripting experience.
- Focus Packaged enterprise applications such as Oracle, SAP and Workday. source
- Pricing model Quote-based subscription; no public price list. source
Last reviewed 2026-09-09
Run this with your own numbers
The figures above describe a generic 300-case suite. Yours is not generic. Put in your own case counts, release cadence and hourly rate and the comparison becomes evidence rather than illustration.
Open the CalculatorQuestions
Why do both vendors show similar costs here?
It shows what each class of tooling costs to own and leaves the mapping to your own trial — edit the authoring time and repair rate with what that trial produces.
Which handles Oracle or SAP better?
That depends on your version and customisations, and it is exactly what a proof-of-concept is for. This page models cost, not coverage.