Why "DataSpider Servista" is suitable for the cloud-first era

Many companies have adopted a "cloud-first" approach to system construction, which reduces operational burden while keeping initial investments low. However, utilizing the cloud requires data migration from existing systems and data integration with on-premise systems, and in some cases, this requires the development of new applications for integration. However, developing each individual application individually not only takes a lot of time and effort, but also makes it difficult to flexibly respond to market changes. DataSpider Servista, a data integration solution used by many companies as an EAI tool, solves the issues that arise when adopting the cloud. We will look at some examples of how DataSpider Servista can be used in building systems using the cloud.

[Scenario 1] Data migration from on-premise to cloud

When using cloud services such as Salesforce.com or Amazon Web Services (AWS), existing data such as customer data and sales management information must be migrated from an on-premises environment. To do this, a program must be developed to extract information from the existing database and safely migrate it to the cloud database without affecting existing business operations. While this is a necessary step for data migration, it is best to avoid spending time and effort solely on this.

That's where DataSpider Servista comes in handy, as it allows you to connect different data and applications without programming. It comes standard with adapters for connecting with various cloud services, including AWS, kintone, Salesforce.com, and Windows Azure, and with just a few simple GUI settings, you can migrate data from on-premise business systems to a cloud database. Because you can migrate data to the cloud without developing new programs, you can significantly reduce the time and effort required for migration and minimize the impact on your business.

[Use Case 2] Hybrid data integration between on-premise and cloud

While the use of public clouds, which do not require the hassle of procurement or operational management, is rapidly increasing, there are also cases where highly confidential information such as personal information or design data related to product development cannot be migrated to a cloud environment, and so existing on-premise environments continue to be used in part. In such cases, individual integration using different interfaces is required for each application, and if there are multiple cloud services to be used, developing all of the integrations in-house is extremely difficult.

DataSpider Servista is a data integration tool that allows you to easily and flexibly integrate on-premise environments with various cloud services. It comes equipped with adapters for a wide variety of integrations, including not only various cloud services but also SAP, Lotus Notes, fixed-length, Excel, various RDBs, and email. By simply using these adapters and configuring them via a GUI, you can easily achieve hybrid data integration between cloud and on-premise environments, enabling flexible system operation.

Examples of data integration using the cloud

Snow Peak, a manufacturer of outdoor equipment, initially built and operated its online store in-house using a housing system, but has now deployed its online store on AWS, with its point management system and product ordering system all running on the public cloud.However, the production management system, which manages product inventory and keeps track of production status, uses an ERP system in an on-premises environment, and data integration between the cloud and on-premises environments, such as sending notifications of shipping status and production inventory to the online store on AWS.

This data integration is made possible by DataSpider Servista. Development can be easily done using only a GUI, improving development productivity and achieving standardization that is not dependent on individual skills. This not only reduces coding errors, but also enables testing with the push of a button, significantly contributing to shortening development time and improving program quality.

»Snow Peak's growth is supported by integrating various systems, including BI, on AWS and taking speedy, data-driven action

DataSpider Servista not only supports various applications in on-premise environments, but also powerfully supports data integration in a variety of environments, including on-premise-to-cloud integration and cloud-to-cloud integration. We encourage you to give it a try.

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