VolvenixDagster vs Make
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
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| Dimension | Dagster | Make |
|---|---|---|
| Accuracy & Reliability | ||
| Ease of Use | ||
| Features & Capability | ||
| Value for Money | ||
| Performance & Speed | ||
| Popularity & Adoption |
Who each tool serves best — and when to pick the other one.
Ideal for data teams looking for a reliable orchestration tool with strong debugging capabilities.
- You need to manage complex data workflows effectively.
- You want strong observability to debug your pipelines.
- Your team requires a reliable orchestration tool.
Not suitable for small teams with limited budgets or those needing a simple solution.
- You need a simple, low-cost solution for data management.
- Free-tier limits are a blocker for your team's needs.
- You require extensive third-party integrations.
The need for strong observability and debugging features in data workflows.
Teams in operations, marketing, sales, or IT who need to automate complex workflows visually without coding.
- You need to automate complex workflows involving multiple apps without coding
- You want a visual interface to design and monitor your automations
- Your team requires integrations across marketing, sales, IT, and operations tools
Users seeking simple one-step automations or those unwilling to invest time learning a visual builder.
- You need only simple, single-step automations with minimal setup
- Free-tier limits are a blocker for your automation volume or team size
- You require extensive enterprise security features like SSO or MFA
The ability to visually design and control multi-step workflows without coding.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | Dagster | Make |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
— | ✓ |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Workflow Orchestration — Manage complex data workflows efficiently
- Observability Tools — Debug and monitor data pipelines effectively
- Software-defined assets — Define and manage data assets programmatically
- Visual workflow builder — Drag-and-drop interface to create workflows
- Multi-Step Automation — Supports complex workflows with multiple steps
- App Integrations — Connects to hundreds of apps and services
- Advanced Scheduling — Set triggers and schedules for workflows
- Error Handling — Manage and retry failed workflow steps
- Excellent for managing complex data workflows
- Strong debugging and observability features
- Open-source with a supportive community
- Visual drag-and-drop workflow builder
- Supports complex multi-step automations
- Extensive app integrations
- Good monitoring and observability tools
- Flexible freemium pricing
- Enterprise pricing may be prohibitive
- Steeper learning curve for new users
- Steep learning curve for new users
- Some advanced features require paid plans
- No native mobile app for workflow management
- Data pipeline management
- Debugging complex workflows
- Monitoring data reliability
- Automate marketing campaign workflows
- Streamline sales lead management
- Integrate IT service operations
- Synchronize data across cloud apps
- Monitor and alert on workflow failures
Where each tool runs — web, mobile, desktop, browser extension, API.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
Dagster offers enterprise pricing tailored for organizations, with no publicly listed costs.
-
Dagster Open Source (Self-hosted)
Free -
Dagster Cloud
popular
Custom pricing
Free tier available with limits; paid plans unlock higher usage and advanced features.
-
Free
Free -
Core
popular
$9.00/mo -
Pro
$29.00/mo
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
None listed.
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
No metrics published.
- Operations per month Up to 100,000+
- Active workflows Unlimited on paid plans
Languages, frameworks, databases, and infrastructure each tool is built on. Mostly relevant for self-hosted or open-source tools.
Stack not disclosed.
Who each tool is positioned for — primary audience first.
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- Dagster is an open-source data orchestrator for managing data pipelines.
- How much does it cost?
- Dagster offers enterprise pricing, with no public cost details available.
- Does it have a free plan?
- No, Dagster does not offer a free plan.
- What integrations does it support?
- Integrations are not explicitly listed on the website.
- Who is it best for?
- Best for data teams needing robust orchestration and observability.
- What is this tool?
- Make is a visual automation platform that connects apps into multi-step workflows without coding.
- How much does it cost?
- Make offers a free tier with limits and paid plans starting at $9/month for higher usage and features.
- Does it have a free plan?
- Yes, Make provides a free plan with 1000 operations per month and 3 active workflows.
- What integrations does it support?
- Make supports hundreds of app integrations including popular marketing, sales, and IT tools.
- Who is it best for?
- It is best for teams in operations, marketing, sales, and IT needing customizable workflow automation.
| Info | Dagster | Make |
|---|---|---|
| Pricing | Enterprise | Freemium |
| Category | AI Agents & Automation | AI Agents & Automation |
| Deployment | Cloud | Cloud |
| Learning Curve | Advanced | Intermediate |
| Free Plan | ✗ | ✓ |
| AI Agent | ✓ | ✓ |
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LevityDagster, with an overall score of 5.7/10, is primarily targeted at enterprise users and offers pricing tailored to larger organizations, focusing on data orchestration and pipeline management. Make, scoring 5.5/10, provides a freemium pricing model that caters to a broader range of users, emphasizing automation and integration workflows for both individuals and businesses. While Dagster is suited for complex data engineering tasks, Make is often used for automating repetitive processes across various applications.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →