ETL from Zendesk to Azure Blob Storage in a few clicks
- Leverage Zendesk data in Azure Blob Storage for advanced analytics
- Build scalable, production-ready data pipelines in hours, not days
- Extract data from Zendesk and load into Azure Blob Storage without code
- Complete your entire ELT pipeline with SQL or Python transformations
- Centralize Zendesk data in Azure Blob Storage for unified access and analytics
How to get started with our Zendesk to Azure Blob Storage integration
See Zendesk to Azure Blob Storage in action
Put your Zendesk data to use.Deliver Zendesk data at the right time, to the right people.
Everything you need to simplify advanced data integration
Zero Infrastructure to Manage
Managed SQL/Python Modeling
Predictable Value-Based Pricing
Reduced Data Development Waste
No-Code Any Data Ingestion
Efficient Database Replication
Infinite Scale
Integrated Data Activation
Proactive Troubleshooting
Bring all your data together. Integrate data from anywhere
Greg Robinson
Staff Data Scientist
Load Zendesk to any data lake or warehouse
FAQ
Zendesk updates their API a few times a month. They will update any significant changes in their changelog.
Rivery manages the Zendesk integration for you, so you don’t need to worry about API upgrades breaking your data pipelines. Rivery will continually maintain the integration with the latest API versions. Most upgrades would be seamless requiring no action on your end. If any API version change require your attention — like added, removed, or modified reports/data fields that you may be using — Rivery will notify you ahead of time with the details and any possible actions required.
Extracting data from Zendesk and integrating it with other data sources provides a holistic view of your customer support operations and overall business performance. Here’s how:
Our Teams Use Case: Our team extracted support ticket data from Zendesk and loaded it into Snowflake, where we used Snowflake’s Cortex functions to analyze the data with LLMs via simple SQL queries. For each ticket, we generated a summary to determine if the issue was resolved, what the resolution was, and the sentiment of the customer—whether positive, neutral, or negative. This process provided us with deeper insights into customer support interactions, allowing us to improve our support quality and continuously refine our product to meet the evolving needs of our users.
Improve Customer Experience: Zendesk data contains valuable insights into customer interactions, common support issues, and response times. By combining this with CRM, product usage, or marketing data, you can identify recurring problems and proactively enhance the customer experience.
Enhance Support Performance: When integrated with workforce or operational data, Zendesk data can help you measure support team performance, identify trends in ticket resolution times, and optimize resources based on demand.
Measure Impact on Revenue: By merging Zendesk data with financial data, such as billing systems or sales figures, you can directly link customer support activities to business outcomes like customer retention, upsell opportunities, and revenue growth.
Create Custom Reports: Standard Zendesk reports may not fully address your specific needs. By combining support data with other sources, you can create more advanced, customized reports that highlight cross-departmental performance or broader business metrics.
Identify Root Causes of Issues: Integrating Zendesk data with product analytics helps in understanding if product issues are driving support tickets. This allows your teams to address root causes and improve product quality.
Improve Customer Segmentation: Syncing Zendesk data with CRM systems enables you to segment customers based on support needs, response history, or satisfaction, leading to better-targeted marketing campaigns or personalized service.
Optimize Customer Retention Efforts: By linking Zendesk data with customer churn or satisfaction scores, you can identify at-risk customers, spot patterns, and take action to retain them more effectively.
Integrating Zendesk data with other systems helps you create a 360-degree view of your customer journey and operations, leading to better decision-making, optimized processes, and improved overall business performance.
Using Rivery’s data connectors is very straightforward. Just enter your credentials, define the target you want to load the data into (i.e. Snowflake, BigQuery, Databricks or any data lake and auto map the schema to generate on the target end. You can control the data you need to extract from the source and how often to sync your data. To learn more follow the specific docs.
Yes. All data connectors within Rivery comply with the highest security and privacy standards, including: GDPR, HIPPA, SOC2 and ISO 27001. In addition, when the data flows into your target data warehouse, you can configure it to do so via your own cloud files system vs. Rivery.
The most popular data connectors are for use cases like marketing, sales and finance. These include Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok and more.
Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.