Is Activepieces or Pipedream cheaper?

Activepieces starts at Free on cloud (daily credit allowance, one user) or free forever self-hosted; Plus from $16 per month billed yearly (free plan available). Pipedream starts at Free (100 credits per month, hard-capped); paid plans from $29 per month billed annually, or $45 month-to-month (free plan available).

Activepieces vs Pipedream

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

The short answer

Editorial assessment

Pipedream compared with Activepieces

Both let you drop code into a workflow, but they solve different problems. Activepieces is open source and self-hostable, which matters when data residency or an air-gapped environment is a requirement, and its pricing is per task on cloud. Pipedream is closed-source and hosted only, but has a far larger connector catalog, managed auth you can call from code, and Connect for embedding integrations in your own product. Choose Activepieces if self-hosting is the point; choose Pipedream if the connector breadth and the hosted runtime are.

Choose Activepieces if

Technically comfortable small teams and GTM engineers who have outgrown per-task automation pricing and want either a cheap credit-metered cloud or a self-hosted instance they fully control, with an escape hatch into TypeScript when a native integration does not exist.

Choose Pipedream if

Technical GTM and RevOps engineers, and small product teams, who want the connector catalog and hosted auth of an iPaaS but refuse to express real logic as configured boxes. Also strong for SaaS companies that want to ship integrations to their own customers without building each one, via Connect.

Side by side

13 attributes

Attribute	Activepieces	Pipedream
Category	GTM Engineering	GTM Engineering
Starting price	Free on cloud (daily credit allowance, one user) or free forever self-hosted; Plus from $16 per month billed yearly (free plan available)	Free (100 credits per month, hard-capped); paid plans from $29 per month billed annually, or $45 month-to-month (free plan available)
Pricing model	Two tracks. The hosted cloud is metered in credits: one credit per flow run regardless of how many steps it contains, one per agentic action, and two to twenty per AI model call unless you bring your own model key. Seats are included up to a per-tier cap and charged beyond it. The self-hosted Community Edition is MIT licensed and free with no credit meter or run cap, but excludes agents, chat, projects, API access, and the team and admin features; paid self-hosted licenses restore those.	Subscription plus usage. Every plan includes a monthly allowance of credits, where one credit is 30 seconds of execution at the default 256 MB of memory, and credit burn scales with the memory you configure. Plans also include AI token allowances for the AI-assisted builder. Tiers gate active workflow count, connected accounts, event history retention, schedule granularity, retries, GitHub sync, and security controls. Prices below are the annual rate; monthly billing costs meaningfully more.
Free plan	Cloud Free: one user, a daily credit allowance that resets each day, with flows, agents, chat, tables, MCPs, and API access included. Self-hosted Community Edition: unlimited runs, no credit meter, but no agents, chat, projects, or API access.	100 credits per month with a hard usage cap, 3 active workflows, 3 connected accounts, 1M AI tokens, 7-day event history, 5-minute minimum schedule interval, and no auto-retry
Free trial	Free plan rather than a time-limited trial; the open-source edition can be run indefinitely	No time-limited trial of paid tiers; the permanent Free plan is the trial. Business plan trials are handled by sales.
Best for	Technically comfortable small teams and GTM engineers who have outgrown per-task automation pricing and want either a cheap credit-metered cloud or a self-hosted instance they fully control, with an escape hatch into TypeScript when a native integration does not exist.	Technical GTM and RevOps engineers, and small product teams, who want the connector catalog and hosted auth of an iPaaS but refuse to express real logic as configured boxes. Also strong for SaaS companies that want to ship integrations to their own customers without building each one, via Connect.
Setup time	Cloud signup to first working flow is under an hour. Self-hosting is roughly 15 to 30 minutes on a fresh VPS with Docker and Postgres for someone who has deployed a Compose stack before, plus the usual work of a domain, TLS, and SMTP configuration for invitations and alerts.	A first working workflow takes 10 to 20 minutes: sign up, create a trigger, connect one app, add a step. A production-grade workflow with retries, concurrency limits, error alerting, and GitHub sync is a half day. Connect implementations are a genuine engineering project, typically one to two weeks for a first customer-facing integration.
Learning curve	Low for linear flows; the builder is deliberately close to Zapier in feel. The real curve is data mapping across steps and knowing when to stop fighting the visual layer and write a code step. Writing a custom piece assumes working TypeScript and npm familiarity, and the documentation for it is thinner than the task deserves.	Low for anyone who writes JavaScript or Python; the platform mostly gets out of the way. The parts that take longer are the ones specific to the model: understanding what a credit actually costs at your memory setting, deciding when to use a data store rather than an external database, and structuring long work as queued events instead of one long execution.
Platforms	Web application (cloud), Self-hosted via Docker Compose, Kubernetes and Helm, One-click deploys on common VPS and PaaS providers	Web application, REST API, CLI, Node.js and Python SDKs for Connect, Hosted and self-deployed MCP servers
Compliance	SOC 2 Type II, GDPR	SOC 2 Type II, GDPR, HIPAA (Business plan)
Founded	2022	2019
Headquarters	San Francisco, California	San Francisco, California
Ownership	Independent, venture-backed (Y Combinator W2023)	Acquired by Workday (announced November 2025, closed early 2026)

Strengths and limitations

Activepieces

Strengths

Genuinely open source under MIT, not source-available, so self-hosting carries no licensing ambiguity for commercial use.
Credits meter flow runs rather than individual steps, which removes the incentive to keep automations artificially short.
The TypeScript pieces framework makes writing a custom integration a normal development task rather than a platform hack.
Flows, AI agents, a built-in table store, and MCP tool serving share one connection layer, so credentials are configured once.

Limitations

The Community Edition withholds agents, chat, projects, API access, SSO, roles, and audit logs, so self-hosting for free means a materially smaller product than the cloud.
Piece quality is uneven: the library is broad because it is community-contributed, and depth of action coverage and maintenance vary considerably between popular and obscure integrations.
Documentation thins out fast beyond the common path; writing custom pieces, complex data mapping, and production scaling are under-documented relative to the effort they take.
The Node.js execution engine is not competitive on compute-heavy work with scripting platforms built on faster runtimes.

Pipedream

Strengths

Arbitrary Node.js, Python, Go, and Bash inline with configured actions, so no logic problem forces you off the platform.
Managed authentication across 3,000+ apps removes the single most tedious part of building integrations, and code steps get the same credentials as configured ones.
Compute-based pricing is unusually favorable for high-volume, high-filter workloads where most events are discarded early.
Bi-directional GitHub sync with branches and pull requests makes automation reviewable like the rest of the codebase, which very few tools in this category offer.

Limitations

Cold starts of several seconds after roughly five minutes of inactivity make Free-tier workflows unsuitable for interactive triggers such as Slack slash commands; warm workers are a paid-tier feature.
The 750-second execution ceiling (300 on Free) means genuinely long batch jobs must be chunked into queued events rather than run as one pass.
Advanced includes no more credits than Basic, which surprises buyers who upgrade expecting headroom and get feature unlocks instead.
Paid-plan overages are uncapped, so a retry loop against a slow API can burn thousands of credits overnight and appear on the next invoice.

Pricing compared

Activepieces

Two tracks. The hosted cloud is metered in credits: one credit per flow run regardless of how many steps it contains, one per agentic action, and two to twenty per AI model call unless you bring your own model key. Seats are included up to a per-tier cap and charged beyond it. The self-hosted Community Edition is MIT licensed and free with no credit meter or run cap, but excludes agents, chat, projects, API access, and the team and admin features; paid self-hosted licenses restore those.

Free (cloud)$0
Plus$16
Team$166
UltimateCustom
Community Edition (self-hosted)$0

Judged per dollar, Activepieces is among the strongest offers in automation, provided you fit one of its two shapes. If you self-host, the marginal cost of an additional flow or an additional million runs is the hardware, which is a fundamentally better curve than any per-task vendor can offer; the bill for a busy small business is a VPS, not a subscription. If you use the cloud, one credit per run rather than per step means complex flows stop being punished, and $16 a month buys a workload that would cost several times that on task-metered competitors. What you give up is polish and breadth: fewer templates, community-maintained pieces of uneven depth, and thinner documentation once you leave the common path. The Team tier at $166 is the least compelling point in the range, since it is a ten-times step for projects, SSO, and roles that many small teams do not need.

Pipedream

Subscription plus usage. Every plan includes a monthly allowance of credits, where one credit is 30 seconds of execution at the default 256 MB of memory, and credit burn scales with the memory you configure. Plans also include AI token allowances for the AI-assisted builder. Tiers gate active workflow count, connected accounts, event history retention, schedule granularity, retries, GitHub sync, and security controls. Prices below are the annual rate; monthly billing costs meaningfully more.

Free$0
Basic$29
Advanced$49
Connect$99
BusinessCustom

For a technical buyer, Pipedream is one of the better value propositions in this category, because the pricing axis rewards writing efficient code instead of punishing you for having many steps. A team replacing a per-task automation bill that scales with record volume often sees the number fall sharply, since filtering happens inside one credit-cheap step rather than across a dozen billed actions. The caveats are real: the included credit allowance stops improving between Basic and Advanced, overages on paid plans are uncapped, and the cost of a workflow is a function of upstream API latency you do not control. Compared with self-hosting n8n, you are paying roughly $600 a year to not run infrastructure, which is a straightforward trade for most small teams and a bad one for teams that already have a Kubernetes cluster and a spare engineer.

Editorial verdict on each

Activepieces

Activepieces is the cleanest answer available to a specific frustration: automation priced per task, running on someone else's server, with no way to write a real integration when one is missing. It is MIT licensed rather than source-available, meters cloud usage per run rather than per step, and self-hosts on a Docker stack that a small business can afford to run indefinitely. The pieces framework turns a missing integration from a dead end into a day of TypeScript. The costs are equally clear. The free self-hosted edition is deliberately smaller than the cloud, holding back agents, projects, and API access, so open source here does not mean feature-complete. Piece quality varies because the library is community-built, documentation thins out exactly where self-hosting teams need it most, and the price step from $16 to $166 leaves no middle ground for a team that wants SSO without 25 seats. Buy it if someone on the team is comfortable with Docker and TypeScript, and the automation volume is high enough that per-task billing has become an engineering problem. Stay on a hosted, task-metered tool if it is not.

Read the full Activepieces profile

Pipedream

Pipedream is the automation platform for people who can write code and are tired of pretending they cannot. The combination of a 3,000-app connector catalog, managed authentication that your own code can use, a hosted runtime with no infrastructure to operate, and GitHub sync with pull requests is not matched by anything else at this price. Compute-based pricing is the right shape for GTM workloads that ingest a lot and keep a little, and the published tiers stay honest all the way to $99 a month before sales gets involved. The reservations are specific rather than generic: cold starts rule out latency-sensitive triggers on lower tiers, the 750-second ceiling forces awkward chunking on batch work, Advanced buys features rather than credits, and uncapped paid-plan overages punish a retry loop. Weigh those against the ownership change, since Workday closed its acquisition in early 2026 and an independent developer platform is now a component of an enterprise agentic strategy. For a technical small team today it remains an excellent buy; keep an eye on the roadmap and the renewal terms.

Read the full Pipedream profile

Activepieces profile last reviewed 2026-08-23; Pipedream last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.