With data claiming a pinnacle position in the Salesforce ecosystem, many organizations are burdened with the huge volume of data that is critical to the efficacy of the business. But with such huge volumes of data comes the great responsibility of efficiently managing it while being within the Salesforce data storage limits. This is why more & more companies are addressing the issues of unmanaged data growth in Salesforce & data storage optimization by leveraging modern data archiving strategies.
One such modern-day data archiving strategy is our data management platform, DataConnectiva. This advanced solution, easily available on the AppExchange, helps organizations address their data growth challenges in Salesforce by letting them capitalize on the untapped potential of external cloud storages, hybrid cloud storages, & some on-premise storage solutions. In simple terms, the application allows users to automatically archive their legacy data into different external databases by leveraging various cloud/on-premise platforms.
The external databases currently compatible with DataConnectiva include Postgres, Redshift, MySQL, Oracle, & MSSQL. And in order to seamlessly archive Salesforce data into these external databases, users can leverage their own cloud platforms like AWS, Heroku, Azure, & Google Cloud, in addition to any on-premise platform as well. Though all these cloud platforms have advantages of their own, in this article we will be discussing the Azure cloud platform in more detail.
Azure Cloud Platform: A Brief Overview
Going by the Wikipedia definition, Azure is a cloud computing service operated by Microsoft for application management via Microsoft-managed data centers. Providing software as a service (SaaS), platform as a service (PaaS), & infrastructure as a service (IaaS), Microsoft Azure supports different programming languages, tools, & frameworks.
In simple layman terms, Azure is Microsoft’s public cloud computing platform that provides users with a range of cloud services, including virtual computing, analytics, storage, networking, & much more. Azure’s users can pick and choose from these services to develop and scale new applications or simply run existing applications in the public cloud. Microsoft Azure can also be used to replace or supplement an enterprise’s on-premise data storage servers.
What is Microsoft Azure used for?
The fact that Azure allows such diverse public service offerings makes its use cases extremely diversified. This is the reason why Microsoft Azure is usually described as having ‘limitless potential’ and ‘unlimited possibilities’. Running virtual machines is one of the most popular uses for Microsoft Azure. These compute resources can host infrastructure components, such as domain name system (DNS) servers; Windows Server services, such as Internet Information Services (IIS); & other third-party applications.
Azure is also commonly used as a platform for hosting databases in the cloud. Microsoft offers serverless relational databases such as Azure SQL & non-relational databases such as NoSQL. In addition to all these functions, the Azure cloud platform is also frequently used for backup, disaster recovery & data archival operations as well. Many organizations use Azure storage as an archive in order to meet their long-term data retention requirements.
Archiving Salesforce Data into Azure with DataConnectiva
When it comes to archiving the redundant Salesforce data, our robust data archiving solution, DataConnectiva, is an ideal strategy; especially when the archiving job is being performed by leveraging the Azure Cloud Platform. Firstly, DataConnectiva can handle voluminous amounts of Salesforce data with ease & also possesses high-speed data processing capabilities. This feature allows the application to process & migrate nearly 1 million records to the external database of the user’s choice, leveraging the Azure platform, at a record-breaking speed of just 100 minutes.
Secondly, DataConnectiva facilitates the seamless collaboration between the user’s Salesforce system & the Azure platform without using any additional connector or integration tool of any kind. Thirdly, when leveraging Azure through the use of DataConnectiva, users don’t have to worry about the data governance limits in Salesforce. The app maintains complex data integrity & supports any level of object hierarchy and parent-child relationships.
Gain extensive insight into the next-gen data archiving application, DataConnectiva, by downloading this product datasheet.
When using DataConnectiva for Salesforce data archival through the Azure platform the users can also be sure of gaining 100% control over their archived data because the application guarantees 100% data accessibility & visibility at all times within the Salesforce page layout. This control over data is further strengthened by the fact that users can easily search for a particular archived record (through global search*) and restore any archived record (on-demand data restoration feature) without any hassle.
Lastly, since Azure is an extremely agile, powerful, & cost-effective platform, using it for carrying out the data archival process is sure to reduce the costs as well. Further, when DataConnectiva is used, the data storage costs can be reduced by almost 85%-90% & the CRM performance improves by 10 times. All these factors contribute to boosting the overall efficiency & ROI of the business, sometimes by nearly 10 times.
In this article, we have tried to offer as much in-depth information about the use of the Azure platform for archiving the Salesforce data as possible. Though we hope to have covered a lot of points here, if you still have some questions regarding this integration or about the role of DataConnectiva, please feel free to reach out to our data management experts.