About Microsoft OneLake
Load data into Microsoft OneLake to power your Fabric analytics, data science projects, and real-time business intelligence. Unify all your enterprise data with OneLake as the single data foundation.
About ChartMogul
ChartMogul can turn new and existing business intelligence data into valuable analytics that companies can use to improve their market performance. ChartMogul can take subscriber data - both created within ChartMogul and imported from other data sources - and generate visualized analytics for a variety of metrics that SaaS companies care about.
Microsoft OneLake's End Points
Table of Contents
- Connect OneLake for a single source of truth
- Migrate your data to OneLake in minutes
- Integrate.io has the OneLake integrations you need
- How Integrate.io customers grow faster with OneLake data connectors
- Get started analyzing your OneLake data
- Why choose Integrate.io for your OneLake integration?
Connect OneLake for a Single Source of Truth
Microsoft OneLake is the centralized data lake for Microsoft Fabric, designed to support powerful analytics, machine learning, and BI across your organization. But its true potential is unlocked only when all your operational data flows into it, clean, timely, and complete.
With Integrate.io’s OneLake connector, you can create a real-time, reliable pipeline from all your source systems directly into OneLake. From there, your data becomes accessible to Power BI, Azure ML, and other Fabric services.
With Integrate.io, you can:
- Load data from hundreds of SaaS apps, databases, and cloud services into OneLake
- Structure and transform raw data before loading into Fabric-ready formats
- Keep OneLake continuously updated with fresh data via scheduled or real-time pipelines
Migrate Your Data to OneLake in Minutes
Populating your OneLake environment shouldn’t require building complex pipelines from scratch. Integrate.io helps you move fast, whether you’re onboarding a new data source or migrating entire data sets.
With Integrate.io, you can:
- Configure OneLake pipelines with a no-code interface
- Push high-volume structured and semi-structured data into OneLake from various systems
- Transform data during ingestion to align with Microsoft Fabric's best practices
- Eliminate scripting, connector maintenance, and operational overhead
Centralize your data seamlessly and set the foundation for scalable analytics.
Integrate.io Has the OneLake Integrations You Need
Whether you're preparing data for Power BI, real-time dashboards, or advanced ML pipelines in Azure, Integrate.io makes it simple to connect OneLake with the rest of your stack.
Popular integration use cases include:
- Loading ecommerce data from Shopify and BigCommerce into OneLake for product analytics
- Sending Salesforce opportunity data into OneLake for forecasting and revenue modeling
- Consolidating ERP and finance data from NetSuite and QuickBooks into OneLake for unified reporting
- Moving ad performance and customer behavior data into OneLake for AI/ML model training in Azure ML
With Integrate.io, OneLake becomes your enterprise-grade data lake, populated and enriched automatically.
How Integrate.io Customers Grow Faster with OneLake Data Connectors
Disconnected data prevents your organization from leveraging Microsoft Fabric’s full potential. If OneLake isn’t integrated with your data stack, valuable insights remain locked in silos, unavailable to the tools and teams that need them.
Integrate.io solves this by syncing your most critical data from SaaS platforms, databases, cloud tools, and internal systems directly into OneLake. The result: faster decisions, better analytics, and smarter operations across every department.
Get Started Analyzing Your OneLake Data
Loading your data into OneLake is the first step. From there, Fabric’s entire ecosystem, Power BI, Synapse, Azure ML, can begin delivering real business value.
With Integrate.io, you can:
- Ingest live sales, marketing, and support data into OneLake
- Feed unified datasets into Power BI for dashboarding and KPI tracking
- Train machine learning models in Azure using clean, OneLake-stored data
- Build scalable lakehouse pipelines without writing code
Get more from Microsoft Fabric by feeding it reliable data from day one.
Why Choose Integrate.io for Your OneLake Integration?
Integrate.io is built for modern data teams that need flexibility, speed, and scale, without sacrificing governance or ease of use.
With Integrate.io, you get:
- A drag-and-drop ETL/ELT interface tailored for cloud-native data movement
- Seamless support for Microsoft OneLake and the entire Fabric ecosystem
- Rich transformation tools, real-time syncs, and deep scheduling control
- Out-of-the-box connectors for CRMs, ERPs, ecommerce, ads, support systems, and more
- World-class support and in-depth documentation
Start syncing your data into OneLake today.
Book a demo or activate your 14-day
free trial and explore the possibilities of a truly unified data lake.
ChartMogul's End Points
ChartMogul Plans
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
ChartMogul Customers
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
ChartMogul Invoices
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
ChartMogul Transactions
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
ChartMogul Subscriptions
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
ChartMogul Tags
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
ChartMogul Custom Attributes
Update customer data with ChartMogul custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.