Skip to content

Instantly share code, notes, and snippets.

@ka8725
Last active September 14, 2025 19:30
Show Gist options
  • Select an option

  • Save ka8725/242f49a4c82008790533c201c4b3e561 to your computer and use it in GitHub Desktop.

Select an option

Save ka8725/242f49a4c82008790533c201c4b3e561 to your computer and use it in GitHub Desktop.

πŸ“Š Zapier vs. Self-made Solution for Event Processing

Factor Zapier Self-made Notes
Advanced level of customization ✘ βœ” Self-made solution provides 100% flexibility in logic, architecture, and integrations.
Debugging/fixing issues/customer support cost ✘ βœ” Zapier gives limited logs and debugging tools; self-made allows full control, observability, and in-house fixes.
Data consistency guarantee (exactly-once delivery) ✘ βœ” Zapier does not guarantee exactly-once delivery. Self-made can enforce at-least-once / exactly-once semantics.
Seeing first results (time to market) βœ” ✘ Zapier workflows can be launched in hours. Self-made requires weeks of design and setup.
Data protection & ownership ✘ βœ” Zapier processes data in their cloud; with self-made, you fully own and control the data flow.
Long-run maintenance cost ✘ βœ” Zapier cost scales linearly with usage. Self-made has upfront cost but scales more efficiently over time.
Ability to scale infinitely ✘ βœ” Zapier has limits on tasks and throughput. Self-made can scale to millions of events.
Hosting cost βœ” βœ” Zapier hides infra cost inside pricing. Self-made requires servers/cloud infra, but cost per event decreases at scale.
Ease of finding/replacing a developer ✘ βœ” Self-made code/config lives in version control. Zapier is harder for newcomers due to opaque workflows.
Latency (real-time processing) ✘ βœ” Zapier workflows may take seconds–minutes. Self-made can deliver near real-time (milliseconds).
Batch processing & throughput ✘ βœ” Zapier processes one event per trigger. Self-made can batch, parallelize, and optimize API usage.
Monitoring & observability Limited βœ” Zapier provides minimal logs. Self-made can integrate metrics, tracing, and dashboards.
Vendor lock-in risk High Low Zapier is proprietary; migration is costly. Self-made can use open standards and portable infra.
Integration availability βœ” Depends Zapier offers thousands of ready connectors. Self-made requires building or adapting APIs.
Compliance & certifications Limited βœ” Zapier offers some compliance at enterprise tiers. Self-made can be designed to meet HIPAA, PCI, GDPR, SOC2, etc.
Error handling & retries Limited βœ” Zapier has basic retry logic. Self-made can define custom retry policies, dead-letter queues, and alerting.
Cost structure Linear with usage Economies of scale Zapier = pay-per-task. Self-made = upfront investment, then marginal cost per event drops significantly at scale.

πŸ“Š Decision Matrix: Zapier vs. Self-made Solution

Factor Zapier (1–5) Self-made (1–5)
Advanced customization 2 5
Debugging & support 2 5
Data consistency (exactly-once delivery) 1 5
Time to first results 5 2
Data protection & ownership 2 5
Long-run maintenance cost 2 4
Scalability (infinite growth) 2 5
Hosting cost 4 3
Ease of onboarding/replacing developer 2 4
Latency (real-time) 2 5
Batch processing & throughput 1 5
Monitoring & observability 2 5
Vendor lock-in risk 1 5
Integration availability 5 3
Compliance & certifications 3 5
Error handling & retries 2 5
Cost structure 2 5

πŸ”Ž Totals

Zapier score = 40 / 85

Self-made score = 76 / 85

Conclusion:

  • Zapier wins for speed to market and integration availability.
  • Self-made dominates in scalability, cost efficiency, compliance, and long-term flexibility.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment