With Skyvia you can:
Cloud data warehouse services offer many benefits and reduce costs for data analysis. Thus, there is a need to transfer data to a data warehouse and keep it up-to-date so that the latest data was involved into analysis.
Skyvia can help you to configure replication to such cloud data warehouses as Amazon Redshift, Azure SQL Data Warehouse, and Google BigQuery in minutes without typing code, load large volumes of data with the best poossible performance, and automate uploading fresh data to a warehouse with no effort.
As time goes by, CRM data may be required for only historical and/or reporting purposes. Such data will no longer be subject to change. To save costs, you will want only transactional data stored within (or on) your cloud-based CRM, and static historical data may be stored elsewhere.
In such cases our cloud service may be a perfect solution for you when it will be beneficial to move your data from the cloud-based CRM to a relational database.
Need to perform detailed analytics on your cloud data? Native reporting software is not enough for you? Replicate your cloud data to a relational database with Skyvia and use your favorite data reporting and analysis tools for relational databases. No need to suffer from cloud application limitations and lack of necessary features in the cloud applications!
When integrating cloud data with other applications, a relational database (which holds a copy of the cloud data) is generally useful to minimize the number of touch-points connecting directly to your Cloud CRM. Thereby, we also reduce the number of API calls and ultimately the costs. Such databases may even be necessary when integrating your cloud data with a legacy system that can consume only relational data.
After you have registered your account, setting up the replication operation is as easy as the following three steps that usually take just few minutes:
Select objects to replicate to database.
When running package multiple times (or on schedule) you can use the incremental updates feature to avoid copying all the data every time.
After you set the schedule, you may monitor package runs in its Run history and, if necessary, make changes to the package.