Traditional data integration products use the Extract-Transform-Load (ETL) architecture to run data transformations. In this architecture, a dedicated proprietary engine is in charge of the data processing. This engine introduces additional complexity, cost and network load – and frequently becomes a performance bottleneck.
Data Integration uses a more efficient ELT architecture that was designed to leverage the processing power of the destination platform. It delivers vastly superior performance by transforming data directly by using set & bulk operations. This architecture also lowers infrastructure costs and reduces network load by removing the need for separate staging infrastructure or servers.
Data Integration software automatically scales with the size of the deployment and delivers cluster-reliable and efficient ETL transformations at all data volumes.
Cloud CDC software can be easily installed without any hassles, either on premise or on your dedicated servers. When it comes to deployment, it offers professional services and support too. It also provides services to assist with infrastructure setup with security and total access. We also help our clients to achieve quick results with better performance tuning.
Lower infrastructure costs
Leverage the existing power of DBMS hardware engines, rather than relying on external staging servers & scale with ease.
Prebuilt transformation templates
Use default templates for common transformations like Star Schema and integration techniques eliminating time spent on tedious tasks.
Allows users to Integrate all types of data without writing any code through a codeless development environment increasing developer productivity.
Complex Data Parsing capabilities
Complex Data Parsing capabilities are built into the tool – Access and parse complex data types including Web logs, JSON and XML files.
High speed performance – the technology does not work on data row by row like traditional ETL products, but does so in set and bulk operations.
Cost-effective data management
Works with the chosen web service platform allowing users to manage large data volumes at an unprecedented low cost.