Recurly is a subscription management service that is designed to provide a variety of billing models to its users - per month, per usage, etc., - and then process recurring charges through those models. Recurly can use data gathered from subscriptions to generate analytics for a company. It also supports integrations with other sales management tools. These can provide users with a more seamless experience and deeper analytic data.
About Google BigQuery
BigQuery is a serverless cloud-based petabyte-scale data warehouse available as a Platform-as-a-Service (PaaS). Part of the Google Cloud Platform, BigQuery manages, queries, and analyzes your data using machine learning, helping you generate intelligence about your business.
Popular Use Cases
Bring all your Recurly data to Amazon Redshift
Load your Recurly data to Google BigQuery
ETL all your Recurly data to Snowflake
Move your Recurly data to MySQL
Recurly's End Points
Track data about the status of a customer’s subscription - recurring, new, canceled, etc., - and which plans they are subscribing to. This data can help demonstrate the success or failure of various subscription models and show the most popular time periods to subscribe.
Retrieve data about any purchase or payment processed through Recurly, including the amount of the transaction, customer contact information and the status of the transaction i.e.,whether it is declined, voided, or successful. This data can then be used to provide analytics about the actual revenue being generated by your company.
Gather all of the information related to an invoice that has been sent to a customer, including charges, refunds, credits and discounts. This field also includes the payment history for invoices, which can be used to track trends and help with predictive analysis.
Set up and detail the various plans that your subscriptions use. This field includes data about the plans - how much they costs, what the billing rates are, etc., - and also provides customer data about who is using what plans. This can assist in scoring leads and segmenting your customers by lifecycle stage.
Store all of your data about a customer’s account, including contact information and billing history. You can also use this to track a customer’s current and historical subscription data, which can provide you with insights into your general business performance and help you determine which subscription plans are most profitable.
Google BigQuery's End Points
Table of Contents
- Connect your data with Google BigQuery for a single source of truth
- ETL data to BigQuery in minutes
- Integrate.io has the BigQuery data integrations you need
- How Integrate.io customers power growth with our BigQuery data connectors
- Get started analyzing data in minutes
- Why choose Integrate.io for your BigQuery data integration?
- Get started on your BigQuery data integration today
- Explore our BigQuery ETL resources
- Check out our latest BigQuery-related articles
- See similar data sources
Connect your data with Google BigQuery for a single source of truth
Integrate.io provides a single source of truth for your marketing efforts by moving data from disparate sources in your organization to the BigQuery data warehouse. These sources include databases, apps, SaaS tools, ecommerce platforms, customer relationship management (CRM) systems, and enterprise resource planning (ERP) systems.
- Using BigQuery as your one source of truth lets you store marketing data from multiple sources in a centralized cloud-based location. That means you can access (and query) massive datasets without expensive hardware and infrastructure.
- Inputting data into BigQuery lets you analyze that data for more successful marketing outcomes. BigQuery's machine learning capabilities generate real-time analytics about customers, campaigns, and marketing pipelines.
- After ETLing marketing data to BigQuery, you can run it through BI tools such as Tableau, Looker, and Microsoft Power BI. Use this business intelligence to increase awareness about products and services, segment customers, and increase sales in your business.
Moving data to BigQuery is a complicated process requiring advanced data engineering knowledge. Integrate.io can ETL data to Google's data warehouse without you worrying about data integration tasks like SQL, JSON, OAuth, permissions, authentication, templates, and cloud storage. Remove the pain points of data integration with Integrate's BigQuery connection, and start ETLing your data today! Alternatively, you can ELT data to BigQuery without any complicated workflows. Schedule an intro call
to learn more about BigQuery data integration.
ETL data to BigQuery in minutes
Integrate.io extracts data from a source, transforms it into the correct data format, and loads it into Google's cloud warehouse. This process removes the challenges of integrating data with BigQuery and can take just a few minutes to execute — much quicker than manual pipeline-building!
- Integrate.io's native connector extracts data from a database, CRM, ERP, or other data source.
- Integrate.io transforms data for BigQuery data analysis.
- Integrate.io loads data into BigQuery.
- You can then move BigQuery datasets through BI tools and generate insights about your business for enhanced decision-making!
You can repeat this process with multiple data sources and unify all the data in your organization inside BigQuery.
Integrate.io's ETL connector for BigQuery multiplies your data team's outcomes and gives you more value from your data. Integrate.io also supports ELT, Reverse ETL, data warehouse insights, and data observability. You can even benefit from super-fast CDC, allowing you to identify database changes as they occur and get more visibility into your most up-to-date data sets. Schedule an ETL trial set-up meeting
today and evolve your data stack.
Integrate.io has the BigQuery data integrations you need
Integrate.io moves data to BigQuery for unified reporting and deep insights.
Examples of Integrate.io BigQuery integrations
View more BigQuery integrations
Integrate.io is the no-code data pipeline platform that ETLs (and ELTs) data from multiple sources to BigQuery without a steep learning curve. Integrate data in a jargon-free environment and free up resources for your hard-working data team! Try Integrate.io yourself
for 14 days.
How Integrate.io customers power growth with our BigQuery data connectors
ETLing data to BigQuery with Integrate.io streamlines the entire data integration process from extraction to analysis.
- Remove the data silos in your organization that prevent you from generating business intelligence and making business decisions.
- Create a 360-degree view of data in your organization in a single cloud-based location.
- Remove inaccuracies and errors when ETLing data to BigQuery. Integrate.io's native connector lets you spend more time on analysis than fixing pipelines.
- Scale your business needs with Integrate.io's flexible BigQuery connector. You can choose the information you want to move to Google's cloud data warehouse and hold back the data you don't need.
- Integrate.io's simple user interface makes it easy to move data from one location to another. You can also benefit from drag-and-drop point-and-click functionality!
- After running data through BI tools, you can share data insights on dashboards and reports with team members and stakeholders.
Get started analyzing data in minutes
Integrte.io's ETL sign-up process takes just a few minutes. Enter a few details on a simple form and talk to an expert
who can help you decide the best methods for your BigQuery data integration use case. Even if you lack lots of data engineering experience, Integrate.io can help!
Why choose Integrate.io for your BigQuery data integration?
Customize data integration notifications
While other platforms might bombard you with notifications, Integrate.io lets you choose the data integration alerts you want to receive.
Integrate.io takes security seriously! Benefit from encryption, field-level data hashing, and other data security protocols when moving data to BigQuery and other target destinations.
Integrate.io helps you comply with data governance regulations such as GDPR and CCPA when transferring data to a target location such as Google BigQuery. Avoid expensive government fines for non-compliance!
Contact a member of the Integrate.io team via phone, email, or live chat. You can also access tutorials, guides, and FAQ pages on the Integrate.io website when troubleshooting issues.
REST API connector
Can't find a connector for your data integration project? Build your own connectors with Integrate.io and move data to your desired destination.
Get started on your BigQuery data integration today
ETLing data to Google BigQuery has never been so easy! Integrate.io's native BigQuery connector automates complex data integration tasks, providing a simple and seamless integration experience. Sign up for an ETL trial
Explore our BigQuery ETL resources
Here are some additional resources about integrating data with Google BigQuery.
Check out our latest BigQuery-related articles