ETL from Yotpo to Amazon Athena in a few clicks
- Leverage Yotpo data in Amazon Athena for advanced analytics
- Build scalable, production-ready data pipelines in hours, not days
- Extract data from Yotpo and load into Amazon Athena without code
- Complete your entire ELT pipeline with SQL or Python transformations
- Centralize Yotpo data in Amazon Athena for unified access and analytics
How to get started with our Yotpo to Amazon Athena integration
See Yotpo to Amazon Athena in action
Put your Yotpo data to use.Deliver Yotpo 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 Yotpo to any data lake or warehouse
FAQ
Rivery offers a set of Predefined Reports for Yotpo 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 Yotpo API. Simply provide your Yotpo credentials and choose the report to load into your cloud data warehouse.
The Yotpo data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):
Extracting data from Yotpo is essential for businesses focused on leveraging customer feedback and user-generated content to enhance their brand reputation, improve customer engagement, and drive sales. Yotpo provides valuable insights through customer reviews, ratings, and social proof, which can be analyzed to understand customer sentiment, product performance, and areas for improvement. By analyzing this data, businesses can identify trends in customer satisfaction, address common pain points, and make data-driven decisions to improve products and services.
Additionally, Yotpo data is crucial for optimizing marketing strategies. Positive reviews and testimonials can be used in marketing campaigns to build trust and credibility with potential customers. Businesses can also track the effectiveness of loyalty programs and referral campaigns managed through Yotpo, gaining insights into customer retention and acquisition.
Yotpo updates their API once a month.
The Yotpo core API has two versions, (version 1 and version 3). Version 3 is the more stable version of the core API.
Rivery manages the Yotpo 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.
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.