ETL depuis Netsuite vers Amazon S3 en quelques clics

Using Rivery, you can pull data from NetSuite and send that data into your target database, data warehouse or data lake.

Here are a few reasons why as to you might want to pull data from NetSuite:

• Better Reporting and Analytics: NetSuite’s built-in reports are fine, but they aren’t customizable to your specific use case. By pulling your data out and using a BI tool of your choice you can create custom dashboards to give stakeholders deeper insights.
• Seamless Integration: If your company uses multiple systems—like a CRM, marketing platforms, or other tools—getting data out of NetSuite lets you sync everything up. This means you can see the full picture without jumping between platforms.
• Centralized Data: Want to store all your data in one place, like Snowflake? Extracting data from NetSuite makes it easier to combine with other sources, supporting everything from basic reporting to complex machine learning projects.
• Compliance and Auditing: Some industries have strict rules about data storage and reporting. By extracting data, you can meet these requirements more easily, ensuring you’re always compliant.

Rivery’s integration with NetSuite allows users to create scalable, code-free data pipelines without needing a data engineer. Here are a few reasons why Rivery stands out:

• Rivery’s No-Code Interface: Authentication in a financial platform like NetSuite can be a headache. Even when you get the API secret and token, you still have to set up the right permissions for users, which is no small task. Rivery makes this process easier with a no-code interface built specifically for NetSuite integration.
• Rivery’s Real-Time Data Integration: With support for real-time data integration you can seamlessly sync data between NetSuite and your other data lakes or warehouses almost instantly, ensuring you always have the most up-to-date information.
• Extract missing data using NetSuite Saved Searches with Rivery: Depending on the version or license you’re using, and the data you need, you might have to navigate different versions of NetSuite APIs. For example, NetSuite introduced a new version called SuiteAnalytics (or NetSuite2.com), replacing the older NetSuite.com API. SuiteAnalytics is great for pulling incremental data, but it still misses some data points. In these cases, Rivery’s integration with NetSuite allows you to extract the missing data using NetSuite Saved Searches.
• Rivery’s Reverse ETL capabilities: With these capabilities, you can pull data from various sources like HubSpot and Salesforce and push it back into NetSuite. This is incredibly useful for business users, as it automates manual tasks and ensures that the data they need is readily available within their operational system, without having to jump between different platforms or dig into a data warehouse. For instance, you can use Rivery to sync opportunities created in HubSpot with NetSuite or to align data like opportunity deal sizes across both systems. Normally, this would involve writing complex functions for two separate APIs, Rivery simplifies the process by handling the logic and data flow, making it a breeze to push data back into NetSuite.

Netsuite is the legacy SuiteAnalytics Connect views (i.e. essentially saved search)

NetSuite2 is the new SuiteAnalytics Workbooks facility.

Here are a few points you should be aware of when  migrating from NetSuite 1 to NetSuite 2.

• The names of the tables and columns have changed.
• You need to create a new type of connection
• Not all tables have a ‘last-modified’ column yet (though Oracle and NetSuite add this column with each new release).
• Permissions are now more restrictive; some tables require direct access to be visible in the list.

Rivery manages the NetSuite 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.

Utiliser les connecteurs de données de Rivery est très simple. Il suffit d’entrer vos identifiants, de définir la cible où vous souhaitez charger les données (par exemple, Snowflake, BigQuery, Databricks ou tout data lake) et de mapper automatiquement le schéma pour le générer sur la cible. Vous pouvez contrôler les données que vous avez besoin d’extraire de la source et la fréquence de synchronisation de vos données. Pour en savoir plus, suivez la documentation spécifique.

Oui. Tous les connecteurs de données au sein de Rivery sont conformes aux normes de sécurité et de confidentialité les plus élevées, y compris : RGPD, HIPAA, SOC2 et ISO 27001. De plus, lorsque les données sont transférées vers votre entrepôt de données cible, vous pouvez configurer le transfert via votre propre système de fichiers cloud plutôt que via Rivery.

Les connecteurs de données les plus populaires concernent des cas d’usage comme le marketing, les ventes et la finance. Ils incluent Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok et plus encore.

Rivery prend en charge la réplication de base de données CDC et l’extraction SQL standard, vous pouvez donc choisir la méthode qui vous convient le mieux. En savoir plus ici.