ETL from Adobe Analytics to Snowflake in a few clicks

Rivery offers a set of Predefined Reports for HubSpot for rapid data integration. Using these reports, you can quickly analyze the data without having to learn the intricacies of the way the data is organized within the HubSpot API. Simply provide your HubSpot credentials and choose the report to load into your cloud data warehouse.
The HubSpot data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):

• Deals
• Companies
• Pipelines
• Engagements
• Forms
• Workflows
• Owners
• Contacts Created
• Contacts Updated
• Marketing Emails

Extracting data from Adobe Analytics with Rivery helps you streamline advanced web analytics and boost decision-making with real-time insights.

• Comprehensive Web Performance Analysis: Adobe Analytics collects vast amounts of data across your digital properties. By pulling this data, you can get a complete view of website performance metrics like traffic, bounce rates, and conversion funnels.
  Building Advanced
• Custom Reports: Adobe Analytics provides detailed tracking of user behavior across multiple touchpoints. With Rivery, you can extract this data to create custom reports tailored to your business needs, combining web performance metrics with other marketing data sources.
• Identifying Key Customer Journeys: Adobe Analytics allows for deep segmentation of customer journeys. By extracting this data, you can better understand how users move through your website, from initial touchpoints to final conversions, enabling more targeted optimizations.
  Optimizing Multi-Channel Marketing Efforts: Adobe Analytics tracks users across various channels and platforms. Extracting this data enables you to analyze how different channels, such as email, search, and social, contribute to overall performance, leading to more effective cross-channel marketing strategies.
• Real-Time Data for Agile Decision Making: Adobe Analytics offers real-time tracking. By integrating this data with Rivery, you can automate the flow of data into dashboards, providing your team with up-to-date insights to make quicker and better-informed decisions.

• Update Frequency: Adobe Analytics is part of Adobe’s larger suite of enterprise tools, and it tends to update its API versions more predictably. Typically, a new major version might be released every 1-2 years, while incremental updates (minor versions) happen more frequently, often every few months.
• Details: Adobe often releases updates aligned with broader product updates or feature rollouts within the Adobe Experience Cloud. These updates can include new API endpoints, enhanced reporting features, or improved data integration options. Adobe also offers detailed API versioning and backward compatibility to ensure minimal disruption for users.
• Changelog: Adobe maintains thorough documentation and changelogs for its API versions, ensuring developers have clear guidance on changes and timelines for deprecated versions.

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.