"저희 Salesforce 팀은 이제 데이터를 준비하고 로드하는 파이프라인을 직접 구축하여 Salesforce 데이터 통합을 완전히 자동화할 수 있습니다. 더 이상 IT가 필요 없으며, 팀이 무척 만족하고 있습니다."
Adam Hooper
중앙 플랫폼 책임자, DPD UK
Your team understands your data. Owning the pipelines is still a fight.
Data pipelines belong to the people closest to your data.
Integrate.io lets ops, analytics, and data teams build and own ETL, ELT, CDC, and Reverse ETL pipelines without the engineering backlog, with the access controls and audit trails IT needs.
True low-code Predictable fixed-fee pricing Dedicated Solution Engineer
Integrate.io로 수백만 건의 IT 티켓을 절감하는 1,100개 이상의 데이터 및 운영 팀이 신뢰합니다
May, 2023
July, 2018
August, 2019
August, 2017
August, 2021
August, 2025
August, 2017
August, 2022
The old model
Every data request still lands on the same few technical teams.
A new source, client file, dashboard, sync, or schema change becomes another ticket, script, handoff, and fragile job to maintain. Ops waits. Engineering loses product time. Leaders get slower onboarding, stale reporting, and less predictable costs as data work grows.
1
Engineering owns too much
Every pipeline change competes with product work, security work, and the next urgent request.
2
Teams closest to the data wait
The people who understand the data still depend on someone else to move, clean, or activate it.
3
Costs get harder to forecast
As data volume, client count, and use cases grow, usage-based tools can make pipeline planning harder than it should be.
Featured use case Explore client data ingestion
Client data ingestion without a bespoke build for every customer.
Your clients send data in different formats, from different systems, on different schedules. Integrate.io helps teams standardize client data from files, APIs, databases, CRMs, apps, and cloud storage into workflows your ops team can run.
Any source, any shape
Handle recurring client data across files, APIs, apps, databases, and cloud storage.
Reusable patterns
Define the destination once, map each client into it, and reuse the pattern as the client base grows.
Ops-owned, IT-visible
Move day-to-day pipeline work closer to ops while keeping access controls, logs, and audit trails in place.
Predictable cost
Fixed-fee pricing keeps pipeline costs easier to plan as data volume, client count, and use cases grow.
Client intake flow
Client sources
Files, APIs, databases
Smart map & transform
Match fields and formats
Canonical schema
Centralized schema management
Destinations
Database, warehouse, files
Every client can arrive differently. We auto map and transform. You keep one repeatable workflow.
One platform
Every way your data moves, in one place.
Use the same platform for ETL, ELT, CDC, Reverse ETL, file workflows, app integrations, and API-driven pipelines. Start with one urgent workflow, then reuse connectors, transformations, schedules, and monitoring across teams.
ETL ELT CDC Reverse ETL Files APIs Databases Apps Warehouses
More ways teams use it
Handles the rest of your data movement too.
Client data ingestion is the featured wedge. The same platform also supports the internal analytics, Salesforce, and CDC workflows teams already run every day.
분석 데이터 준비
Prepare trusted data for BI, AI, and reporting without waiting on engineering.
See use case
Salesforce 동기화
Give Salesforce teams cleaner records and automated syncs they can own.
See use case
CDC and Data Products
Keep apps, internal tools, and reporting layers current with reliable CDC, including 60-second replication for operational workloads.
See use caseBuild it your way
Build visually, with AI, or from your MCP client.
The point is ownership. The person closest to the data can draft, review, and run the pipeline, with the same permissions and audit trail in place.
Build pipelines your team can own
Ingest from anywhere, transform data visually, schedule the run, and load records where the business needs them. Teams can move without waiting on a SQL or dbt specialist for every change.
- ● Ingest data from anywhere instantly
- ● 220+ visual transformations and functions
- ● ETL/ELT, CDC, and Reverse ETL
Helm: your Integrate.io copilot
Helm is Integrate.io's AI agent inside the platform. Describe the pipeline you want, then review the generated steps before it runs.
- ● Prompt from inside the Integrate.io designer
- ● Helm drafts components, mappings, and explanations
- ● Your team validates, edits, and approves the pipeline
Connect Integrate.io to your LLM client
Use Integrate.io's MCP server so Claude, ChatGPT, Cursor, or another MCP-compatible client can inspect, build, and validate pipelines with the same controls as the UI.
- ● Work from Claude, ChatGPT, Cursor, or your own agent
- ● Inspect, build, and validate packages
- ● Keep Integrate.io permissions and audit history in place
Claude 
ChatGPT 
Cursor Integrate.io를 선택하는 이유 사례 읽기
Hands-on teams move faster. IT still sees and controls the work.
분석가, 운영팀, 엔지니어가 필요한 파이프라인을 만들고, IT는 액세스, 표준, 가시성을 유지할 수 있습니다.
고정 요금제
데이터 작업이 늘어나도 예측 가능한 요금제입니다. 행, 동기화, 커넥터, 클라이언트마다 예산이 달라지지 않습니다.
유연한 파이프라인 빌더
시각적으로 구축하고, Helm에 요청하거나, 필요할 때 SQL과 Python을 추가할 수 있습니다. 데이터에 가장 가까운 팀이 흐름을 소유할 수 있습니다.
세심한 서비스
전담 솔루션 엔지니어가 연중무휴 지원팀과 함께 구현과 프로덕션 작업을 안내합니다.
Production-grade pipelines without the production drag.
Reduce pipeline backlog
Move recurring data work out of the queue and into workflows teams can run.
Catch breaks earlier
Use run history, alerts, and logs to spot failed jobs before downstream teams are surprised.
Keep data usable
Prepare clean datasets for BI, AI, operations, and the apps teams use every day.
IT에 가시성 제공
Role-based access, audit trails, SOC 2, HIPAA, and encryption are built in.
당사의 프로세스
From one priority workflow to a team-owned pipeline
You work with real people from the first call through long-term success. The path moves around your goals, data readiness, and launch timeline.
1
적합성 확인과 파일럿
- Confirm the priority workflow, data sources, destination, and owner.
- Try the platform with your data in a focused pilot.
- Work with a dedicated Integrate.io Solution Engineer from the start.
2
온보딩과 정식 출시
- Build the first production pipeline and reusable pattern.
- Test mappings, schedules, permissions, and alerts.
- Hand day-to-day ownership to the team closest to the data.
3
지속적인 성공
- Your dedicated Success Engineer stays close after launch.
- Add sources, destinations, and use cases without starting over.
- 평균 첫 응답 시간 2분의 연중무휴 24시간 지원.
Support that stays close after launch
Human support for the first workflow, the next use case, and the production issues that need a fast answer.
2 min
평균 첫 응답 시간
92%
고객 만족도 점수
51 min
평균 해결 시간
데이터가 의존하는 시스템을 연결하세요
관리형 소스와 대상, 맞춤형 시스템을 위한 범용 API 커넥터, 그리고 요청에 따라 24~48시간 안에 구축되는 신규 커넥터.
보안
Fortune 50 보안 팀이 검증하고 승인했습니다.
SOC 2, HIPAA, GDPR, SSO, 종단 간 암호화. 당사는 고객의 데이터를 저장하지 않습니다.
40,000시간 이상 절감. 다음은 당신 차례입니다.
“Integrate.io 플랫폼은 훌륭한 ETL 및 데이터 변환 솔루션입니다! Salesforce, HubSpot, Google Analytics, Facebook Ads 등을 연결하는 것이 이보다 더 쉬울 수 없었습니다.”
Meir Gold
그로스 | 애널리틱스 매니저
“훌륭한 ELT 도구. 노코드 도구로 설정과 사용이 쉽고, 스케줄도 좋고, 가격 균형도 뛰어납니다!”
Diego Polo
비즈니스 인텔리전스 아키텍트
“역대 최고의 고객 서비스! 외부 벤더 중 제가 함께 일해 본 최고의 고객 서비스 팀입니다. 항상 매우 빠르게 응대하고, 문제 해결이나 제품 안내에 있어 기대 이상으로 노력합니다.”
Matthew Pratt
애널리틱스 매니저
FAQ
자주 묻는 질문
Clear answers to the questions teams ask when evaluating Integrate.io.
Still have questions?
Talk to an expert →What does Integrate.io do?
Integrate.io helps teams build, run, monitor, and own data pipelines across SaaS apps, databases, files, APIs, warehouses, and operational systems from one managed platform.
Which teams use Integrate.io?
Data, RevOps, analytics, Salesforce, engineering, implementation, and customer operations teams use Integrate.io to keep business systems and reporting data current while IT keeps visibility and control.
What is client data ingestion?
Client data ingestion is the recurring process of collecting data from customers or partners, standardizing it, mapping it to a target schema, and delivering it to the systems that power your product, reporting, or operations.
Can Integrate.io handle ETL, ELT, and Reverse ETL in one place?
Yes. Teams can ingest data, transform it, load it into warehouses, run CDC workflows, and sync trusted data back to operational tools without stitching together separate products.
How does Integrate.io use AI for pipelines?
Integrate.io uses AI to help draft and adjust pipelines with Helm and supported MCP clients. Teams review, edit, and approve the workflow before it runs on Integrate.io with permissions, logs, and audit trails in place.
How quickly can teams launch a data pipeline?
Many teams can configure a first pipeline during onboarding. Production timing depends on authentication, field mapping, approvals, and the number of systems involved.
How does Integrate.io keep data movement controlled?
Integrate.io includes role-based access, audit trails, alerts, logs, encryption, and SOC 2, HIPAA, and GDPR support for production data workflows.
How is Integrate.io priced?
Integrate.io uses predictable fixed-fee pricing so teams can scale data volume, client count, users, connectors, and use cases without tying budget to every row, sync, or connector.