Activepieces
AI 에이전트 · 218.4K 월 방문
Activepieces는 코딩 없이 워크플로우와 AI 에이전트를 구축할 수 있는 오픈 소스 AI 우선 자동화 플랫폼입니다. 350개 이상의 애플리케이션을 연결하여 마케팅, 영업 및 운영을 위한 원활한 자동화를 가능하게 합니다. 클라우드 및 자체 호스팅 옵션을 모두 제공하여 최고의 유연성과 데이터 제어를 보장합니다.
VS
Make
CRM · 6.7M 월 방문
Make는 코딩 없이 간단한 작업부터 복잡한 워크플로우까지 모든 것을 설계, 구축 및 자동화할 수 있는 강력한 시각적 플랫폼입니다. OpenAI 및 Google Gemini와 같은 고급 AI 도구를 포함하여 수천 개의 앱과 서비스를 연결하여 비즈니스 운영, 마케팅, 영업 등을 간소화하는 지능형 자동화 및 AI 에이전트를 만들 수 있습니다.
제품 개요
Activepieces 제품 개요
Activepieces는 코딩 없이 워크플로우와 AI 에이전트를 구축할 수 있는 오픈 소스 AI 우선 자동화 플랫폼입니다. 350개 이상의 애플리케이션을 연결하여 마케팅, 영업 및 운영을 위한 원활한 자동화를 가능하게 합니다. 클라우드 및 자체 호스팅 옵션을 모두 제공하여 최고의 유연성과 데이터 제어를 보장합니다.
Preview
Make 제품 개요
Make는 코딩 없이 간단한 작업부터 복잡한 워크플로우까지 모든 것을 설계, 구축 및 자동화할 수 있는 강력한 시각적 플랫폼입니다. OpenAI 및 Google Gemini와 같은 고급 AI 도구를 포함하여 수천 개의 앱과 서비스를 연결하여 비즈니스 운영, 마케팅, 영업 등을 간소화하는 지능형 자동화 및 AI 에이전트를 만들 수 있습니다.
Preview
Detailed feature comparison
| Feature | Activepieces | Make |
|---|---|---|
| 주요 카테고리 | AI 에이전트 | CRM |
| 등록일 | 2025-08-10 | 2025-08-08 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | www.activepieces.com | www.make.com |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 218.4K | 6.7M |
| 월 성장률 | -2.4% | 12.7% |
| 즐겨찾기 | 92 | 122 |
| Details | 상세 보기 | 상세 보기 |
Activepieces vs Make monthly traffic
Compare Activepieces and Make by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Activepieces vs Make monthly traffic comparison, Activepieces currently shows 218.4K visits and Make shows 6.7M; Make has about 30.6 times the visible traffic of Activepieces, an absolute difference of about 6.5M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Make is registered at the www.make.com/en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Activepieces monthly traffic:
Latest traffic
월 방문
218.4K
평균 방문 시간
1:58
방문당 페이지
3.33
이탈률
40.85%
Data updated 2026-06-11
Monthly traffic trend
- 2025/9: 279.8K 월 방문
- 2026/1: 236K 월 방문
- 2026/2: 187.9K 월 방문
- 2026/3: 246.2K 월 방문
- 2026/4: 223.6K 월 방문
- 2026/5: 218.4K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 56.16% | 122.6K |
| 🇮🇳India | 19.3% | 42.1K |
| 🇧🇷Brazil | 9.48% | 20.7K |
| 🇲🇽Mexico | 8.42% | 18.4K |
| 🇻🇳Vietnam | 6.64% | 14.5K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 83.57% | 182.5K |
| 리퍼럴 | 11.85% | 25.9K |
| 이메일 | 4.58% | 10K |
검색 키워드
active piecesactivepiecesactivepieces mcpforeplay mcpzapier pricing
Make monthly traffic:
Latest traffic
월 방문
6.7M
평균 방문 시간
7:28
방문당 페이지
8.43
이탈률
32.56%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 5.4M 월 방문
- 2026/2: 5M 월 방문
- 2026/3: 6.1M 월 방문
- 2026/4: 5.9M 월 방문
- 2026/5: 6.7M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 40.62% | 2.7M |
| 🇮🇳India | 19.69% | 1.3M |
| 🇫🇷France | 18.85% | 1.3M |
| 🇩🇪Germany | 11.09% | 741.7K |
| 🇮🇱Israel | 9.75% | 652.1K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 90.82% | 6.1M |
| 리퍼럴 | 6.17% | 412.7K |
| 이메일 | 3.01% | 201.3K |
검색 키워드
gemini aimakemake aimake.comn8n
Traffic-based selection guidance: Make is registered under a www.make.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Make for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of Activepieces and Make
Activepieces Core features
노코드
자동화
AI 에이전트
Make Core features
노코드
자동화
CRM
마케팅 자동화
Use cases
Activepieces Use cases
AI 에이전트
API
자동화
통합
노코드
워크플로우
비즈니스 자동화
대안을 마련하다
오픈 소스
자가 호스팅
Zapier 대안
Make Use cases
AI 에이전트
API
자동화
통합
노코드
워크플로우
챗봇
데이터 동기화
iPaaS
마케팅 자동화
생산성
Activepieces vs Make：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Activepieces vs Make comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Activepieces is primarily listed under “AI 에이전트”, while Make is primarily listed under “CRM”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Activepieces: AI 에이전트; Make: CRM); Monthly visits (Activepieces: 218.4K; Make: 6.7M); Monthly growth (Activepieces: -2.4%; Make: 12.7%); Favorites (Activepieces: 92; Make: 122); Website (Activepieces: www.activepieces.com; Make: www.make.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Activepieces vs Make monthly traffic comparison, Activepieces currently shows 218.4K visits and Make shows 6.7M; Make has about 30.6 times the visible traffic of Activepieces, an absolute difference of about 6.5M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Make is registered at the www.make.com/en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Make is registered under a www.make.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Make for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
Activepieces and Make currently overlap in shared categories: 노코드 및 자동화; shared tags: AI 에이전트, API, 자동화, 통합, 노코드 및 워크플로우. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Activepieces's unique categories/tags are AI 에이전트, 비즈니스 자동화, 대안을 마련하다, 오픈 소스, 자가 호스팅 및 Zapier 대안; Make's are CRM, 마케팅 자동화, 챗봇, 데이터 동기화, iPaaS 및 생산성. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Activepieces has no verified rating, 0 comments, 92 favorites, and 92 likes；Make has no verified rating, 0 comments, 122 favorites, and 125 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Activepieces first
Put Activepieces on the priority trial list when the task aligns with “AI 에이전트” and especially AI 에이전트, 비즈니스 자동화, 대안을 마련하다, 오픈 소스, 자가 호스팅 및 Zapier 대안. This follows recorded positioning and does not imply unlisted capabilities are absent.
Activepieces also currently records: pricing is freemium, product type is website, 218.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Make first
Put Make on the priority trial list when the task aligns with “CRM” and especially CRM, 마케팅 자동화, 챗봇, 데이터 동기화, iPaaS 및 생산성. This follows recorded positioning and does not imply unlisted capabilities are absent.
Make also currently records: pricing is freemium, product type is website, 6.7M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Activepieces and Make, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
비교 FAQ
How should I choose between Activepieces and Make?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.
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