Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.
Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.
What are Stitch's most important features?
- Data Extraction: Efficiently extracts data from numerous sources, ensuring smooth data flow across platforms.
- Real-Time Data Sync: Offers synchronized data transfer to maintain up-to-date datasets.
- Scalability: Supports growing data needs with scalable architecture.
- Secure Data Transfer: Implements security practices ensuring data integrity during transfers.
- API Access: Provides API connectivity for robust data pipeline customization.
What benefits and ROI should users look for when evaluating Stitch?
- Improved Decision-Making: Enables timely and informed business decisions with real-time data accessibility.
- Cost Efficiency: Reduces expenses associated with manual data integration processes.
- Increased Productivity: Frees up IT resources by automating data movement, allowing teams to focus on strategic tasks.
- Enhanced Data Accuracy: Minimizes errors through automated and consistent data integration processes.
In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.
ViaSQL enables powerful data extraction from complex sources through standard SQL queries. It provides direct access to all your system databases, allowing teams to seamlessly manage enterprise data with ease. The powerful tool opens bi-directional access to both mainframe and distributed data sources, enabling rapid web and cloud application development. Gone are the days of complex and time-consuming legacy data management practices!
Direct Access to Data Sources
With ViaSQL, you can directly access mainframe data using ODBC or JDBC. The native read/write conversion functionality allows you to access both relational and non-relational databases with SQL queries, so your teams don’t need to know anything about mainframe databases.
Call Out From Mainframe Applications
ViaSQL also makes outbound calls from legacy applications by providing COBOL and PL/I access to distributed data sources. It allows for true bi-directional data access from the mainframe without the need to modify any legacy system code.
Bulk Transfer Capabilities
ViaSQL allows you to move large amounts of data between the mainframe and relational databases. It eliminates the need for other expensive and complex Extract, Transform, and Load (ETL) systems when copying mainframe data to modern data lakes and warehouses.
Combine Direct and Indirect Data Sources
When used with Adaptive Integration Fabric, ViaSQL allows you to combine direct and indirect data sources by creating workflows that pull data via mainframe applications, as well as directly from data sources. This allows users to not only create highly efficient data extraction systems but also expose data to modern systems such as REST or SOAP APIs.
