Developer Tools · head to head
Dagger vs Periscope Data

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Free plan
- Yes

Periscope Data
Business Intelligence
SQL and Python analytics platform
- From
- $1000/month
- Free plan
- No
The short version
- Dagger has a free plan, then $50/mo; Periscope Data starts at $1000/mo.
- Only Dagger lists pipelines as code; only Periscope Data lists SQL Editor.
- Where Periscope Data falls short: the periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Dagger and Periscope Data actually diverge.
| Attribute | Dagger | Periscope Data |
|---|---|---|
| Starting price | Free | $1000/month |
| Pricing model | Per month per team for Dagger Cloud | Subscription |
| Free tier | Yes | No |
| Platforms | Linux, macOS, Windows, Self-hosted | Web |
| Category | Developer Tools | Business Intelligence |
Not yet recorded: founded for Dagger.
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dagger
- Pipelines as code
- Local and CI parity
- Content-addressed caching
- Dagger Functions and modules
- CI-provider agnostic
- Dagger Cloud traces
- GitHub Checks integration
- Container-native execution
Only in Periscope Data
- SQL Editor
- Python/R Integration
- Version Control
- Caching
- Dashboards
- Redshift
- BigQuery
- Snowflake
What people use each for
The jobs each tool is most often brought in to do.
Dagger
- A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Periscope Data
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Periscope Data
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Periscope Data
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Periscope Data
Periscope Data
- SQL-based analytics and dashboards over a data warehousenot Dagger
- Python and R analysis alongside SQL in one workflownot Dagger
- Shared dashboards for data teamsnot Dagger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dagger
- Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it
- Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK
- The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work
- The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front
- The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function
Periscope Data
- The periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
- No Periscope Data pricing, plan or seat rate remains published at the original domain
- Buyers must now purchase through Sisense, whose own pricing is not published as a rate card
Pricing, plan by plan
Dagger
Free- IndividualFree
- One user
- One million events per month
- Workflow logs and function call traces
- Team$50/mo
- Up to ten users
- Ten million events per month
- Module insights and module catalogue
- EnterpriseOn request
- Custom user and event limits
- SSO
- Managed single-tenant deployment
Periscope Data
$1000/month- Team$1,000/mo
- SQL Analytics
- Python/R
- Dashboards
- EnterpriseFree
- Advanced Features
- Custom Integrations
- Premium Support
Which should you pick?
Choose Dagger if
- You need pipelines as code.
- You want to start without paying.
- You work on Linux, macOS, Windows, Self-hosted.
- You also want local and ci parity.
Choose Periscope Data if
- You need sql editor.
- You also want python/r integration.
Questions people ask
- Is Dagger or Periscope Data better?
- Neither clearly leads. Dagger starts at Free and Periscope Data at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Periscope Data?
- Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and $1000/month for Periscope Data.
- Does Dagger or Periscope Data run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Periscope Data runs on Web.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. Periscope Data starts at $1000/month.
- What is Dagger best used for?
- Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Periscope Data is typically brought in for.
- What can Dagger do that Periscope Data cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Periscope Data covers SQL Editor, Python/R Integration, Version Control, Caching.
Answered from the vendors’ own pages
Dagger: Does Dagger replace GitHub Actions?
No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.
Periscope Data: Does Sisense offer a free trial?
Yes. Sisense offers a free trial of their Self-Serve plan. You can try features like data warehouse connectivity, built-in AI for natural-language queries, auto-narratives, and customer assistant features.
SourceDagger: Is the engine open source?
Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.
Periscope Data: What is the difference between Sisense Self-Serve and Enterprise plans?
The Self-Serve plan is for startups and teams and includes basic connectivity and AI features with iframe embedding. The Enterprise plan is for regulated industries and includes multi-tenant architecture, HIPAA readiness, column-level security, single sign-on, on-premise deployment options, 99.99% SLA, and 30-day backups.
SourceDagger: What is an event in the pricing?
Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.
Periscope Data: How do I access the Sisense Enterprise plan?
The Enterprise plan requires contacting Sisense for a demo and custom quote. There is no self-service signup for this tier.
SourceDagger: Can I run the same pipeline on my laptop?
Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.
Related pages
More on Periscope Data
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