How to get started with our Hivestack to Azure Blob Storage integration

1

Enter your Hivestack credentials to create a connection.

Connection docs
2

Select a predefined report or specific data to extract from.

Walkthrough
3

Select Azure Blob Storage as your target and start loading your data.

Connection docs

See Hivestack to Azure Blob Storage in action

Put your Hivestack data to use.
Deliver Hivestack data at the right time, to the right people.

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Transform your data

Turn raw data into business data models with SQL or Python.

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Activate your data

Sync data directly into your tech stack with reverse ETL.

Everything you need to simplify advanced data integration

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Zero Infrastructure to Manage

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Managed SQL/Python Modeling

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Predictable Value-Based Pricing

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Reduced Data Development Waste

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No-Code Any Data Ingestion

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Efficient Database Replication

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Infinite Scale

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Integrated Data Activation

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Proactive Troubleshooting

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Greg Robinson

Staff Data Scientist

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"Before, we'd have to do an API integration with a bunch of data engineers to get a single data source into a data warehouse. It took a really long time, was very, very expensive and it was prone to human error. Now, we've dramatically cut all that down with Rivery."

FAQ

What analytics ready data can you extract from Hivestack API?

Rivery offers a set of Predefined Reports for Hivestack 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 Hivestack API. Simply provide your Hivestack credentials and choose the report to load into your cloud data warehouse.
The Hivestack data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):

How can I use Rivery’s data connectors?

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.

Do data connectors comply with GDPR?

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.

What are the most popular data connectors?

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.

How does Rivery extract data from database integrations?

Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.

Power up your data integration

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