SemanticOps vs Spectacles
Verdict: SemanticOps scores 8.9/10 against 8.4/10 for Spectacles on our data score for BI report testing tools.
Both have a free plan.
Spectacles leads on 2 checks and SemanticOps on 1; 5 are even, out of 8 checks (yes/no, price and seats) where we have data for both.
Choose SemanticOps for power BI developers who edit semantic models with AI assistants and want regression tests. Choose Spectacles for looker teams that want pull-request checks on LookML.
Scoreboard: 8 checks
| Check | SemanticOps | Spectacles |
|---|---|---|
| Free plan | Even | Even |
| Free trial | Leads | |
| Smaller seat minimum | Even | Even |
| Power BI | Leads | |
| Tableau | Even | Even |
| Other BI tools (Qlik, Looker, Cognos, MicroStrategy...) | Leads | |
| Report regression testing | Even | Even |
| CI/CD integration | Even | Even |
| Total | 1 | 2 |
At a glance
| SemanticOps | Spectacles | |
|---|---|---|
| Score | 8.9/10 (#2) | 8.4/10 (#5) |
| Best for | Power BI developers who edit semantic models with AI assistants and want regression tests | Looker teams that want pull-request checks on LookML |
| Free plan | Yes | Yes |
| Paid from (annual) | $29.08/mo | See vendor |
| Paid from (monthly) | $39/mo | — |
| Free trial | — | 14-day free trial of the hosted service (per terms of service) |
| Minimum seats | 1 | 1 |
| Platforms | Windows, macOS | Cloud (SaaS), CLI (Python) |
Features
| Tool | Score | Power BI | Tableau | Other BI tools (Qlik, Looker, Cognos, MicroStrategy...) | Report regression testing | CI/CD integration |
|---|---|---|---|---|---|---|
| SemanticOps | 8.9/10 | Yes | No | No | Yes | Yes |
| Spectacles | 8.4/10 | No | No | Yes | Yes | Yes |
- Only SemanticOps confirms: Power BI.
- Only Spectacles confirms: Other BI tools (Qlik, Looker, Cognos, MicroStrategy...).
Pros and cons
SemanticOps
Pros- Low published price: Pro is $39/month or $349/year, with a free tier
- Test Runner includes regression snapshots, query duration budgets and row-level and object-level security tests
- Exports JUnit XML, Markdown, HTML and JSON so CI pipelines can fail builds on regressions
- Runs locally with no telemetry, per the vendor
- Tests semantic models against expected values, not against the source database
- Does not run CI itself; execution must be wired into an existing pipeline
- Built by an independent developer; Teams pricing is quote-only
Spectacles
Pros- Finds SQL errors in Explores by running queries in the database, which Looker's built-in validator does not
- Content validator checks that LookML changes do not break saved dashboards and Looks
- Integrates with GitHub, GitLab and Azure DevOps pull requests, plus an API and a dbt Cloud integration
- Open-source CLI (MIT license) on GitHub, last released July 2026
- Looker only; no Power BI or Tableau support
- Hosted app pricing is not published
- Checks report definitions and queries, not report values against a separate source system
Frequently asked questions
How do SemanticOps and Spectacles compare on features and price?
Spectacles leads on 2 checks and SemanticOps on 1; 5 are even, out of 8 checks (yes/no, price and seats) where we have data for both.
Is SemanticOps better than Spectacles?
SemanticOps scores 8.9/10 against 8.4/10 for Spectacles on our data score for BI report testing tools. SemanticOps is best for power BI developers who edit semantic models with AI assistants and want regression tests; Spectacles is best for looker teams that want pull-request checks on LookML.
Which is cheaper, SemanticOps or Spectacles?
Check each vendor's pricing page; one of them does not publish an entry price.
Do SemanticOps and Spectacles have free plans?
SemanticOps: yes. Spectacles: yes.
See the full BI Report Testing Tools ranking for other options.
Sources
- SemanticOps: official pricing page · SemanticOps pricing page · SemanticOps Test Runner page · SemanticOps homepage
- Spectacles: official pricing page · Spectacles homepage · Spectacles Continuous Integration page · Spectacles terms of service · Spectacles docs getting started · spectacles-ci/spectacles GitHub repository