"当社の Salesforce チームは、データの準備とロードを行うパイプラインを自ら構築することで、Salesforce のデータ統合を完全に自動化できるようになりました。もう IT に頼る必要がなく、チームはそれをとても気に入っています。"
Adam Hooper
セントラルプラットフォーム責任者、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.io で何百万もの IT チケットを削減する 1,100 以上のデータ・運用チームに信頼されています
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.
分析データ準備
Prepare trusted data for BI, AI, and reporting without waiting on engineering.
See use case
Salesforce 同期
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.io が選ばれる理由 事例を読む
Hands-on teams move faster. IT still sees and controls the work.
アナリスト、運用担当者、エンジニアが必要なパイプラインを構築でき、IT はアクセス、標準、可視性を保てます。
定額料金
増え続けるデータ業務にも予測しやすい料金。行数、同期、コネクタ、クライアントごとに予算が左右されません。
柔軟なパイプラインビルダー
画面上で構築し、Helm に指示し、必要に応じて SQL や Python を追加できます。データに最も近いチームがフローを所有できます。
手厚いサービス
専任のソリューションエンジニアが、24 時間 365 日のサポートとともに、実装と本番運用を支援します。
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.
IT に可視性を提供
Role-based access, audit trails, SOC 2, HIPAA, and encryption are built in.
当社のプロセス
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
適合確認とパイロット
- 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
オンボーディングと本番開始
- 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
継続的な成功
- Your dedicated Success Engineer stays close after launch.
- Add sources, destinations, and use cases without starting over.
- 平均初回応答時間 2 分の 24 時間 365 日サポート。
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
平均初回応答時間
92%
顧客満足度スコア
51 min
平均解決時間
データが依存するシステムを接続
管理されたソースと宛先、カスタムシステム向けの汎用 API コネクター、さらにオンデマンドで 24 から 48 時間以内に構築できる新しいコネクター。
セキュリティ
Fortune 50 のセキュリティチームによる検証と承認済み。
SOC 2、HIPAA、GDPR、SSO、エンドツーエンドの暗号化。当社がお客様のデータを保存することはありません。
40,000 時間以上を節約。次はあなたの番です。
“Integrate.io プラットフォームは素晴らしい ETL・データ変換ソリューションです！Salesforce、HubSpot、Google アナリティクス、Facebook 広告などの接続が、かつてないほど簡単になりました。”
Meir Gold
グロース｜アナリティクスマネージャー
“素晴らしい ELT ツール。ノーコードで、セットアップも使用も簡単、スケジュールも便利で、価格バランスも抜群です！”
Diego Polo
ビジネスインテリジェンスアーキテクト
“史上最高のカスタマーサービス！外部ベンダーの中で、これまでで最高のカスタマーサービスチームです。常に対応が早く、問題解決や製品の説明において期待以上の働きをしてくれます。”
Matthew Pratt
アナリティクスマネージャー
FAQ
よくある質問
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.