Oracle Data Integrator vs. SAP Data Services

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Oracle Data Integrator and SAP Data Services both offer data integration services. We compare the features of the two products to understand how effective they are as a data integration tool.

Oracle Data Integrator

Photo: Oracle

Oracle Data Integrator provides a data integration platform that handles high-performance batch load, high volume, service-oriented architecture (SOA) enabled data services, event-driven trickle-feed integration processes and more data integration requirements. It offers on-premise and cloud services and provides unique extraction, load and conversion technologies that reduce data integration costs and increase performance, even on different systems.

ELT architecture for high performance

The extract, load, and transform architectures of the enterprise version of Oracle Data Integrator are used by different Big Data Engine or Relational Database Management Systems (RDBMS) to convert and process data. This results in enhanced performance and optimized scalability with less general cost. The ELT architecture of this data integration tool is a conventional extract, generating native code for unequally large data engines such as SQL, PySpark, Pig Latin or HiveQL and RDBMS to avoid reliance on conversion load servers.

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Heterogeneous system support

With Oracle Data Integrator Enterprise Edition, users enjoy a wide variety of support for third-party platforms, data sources and data warehousing applications. This data integration tool provides optimization for Oracle databases to perform ELT data transformation, movement, and data quality and standardization tasks. The Oracle Data Integrator Enterprise Edition has also been extensively optimized for mixed technologies such as targets, applications and sources.

An example of a high-productivity designer for data integration

To enhance user productivity and user experience, Oracle Data Integrator Enterprise Edition has created a declarative flow-based user interface that combines simplicity and ease of use with the expandability and flexibility of configurable streams. This combination simplifies the standard data integration design and installation instances and shortens the implementation time. This allows users or developers to focus on describing what to do as opposed to how to do it. Data integration tools can reuse mapping logic during development to make it easier for developers to create solutions.

Knowledge module for flexibility and extensibility

The architecture of Oracle Data Integrator Enterprise Edition includes knowledge modules that make Oracle Data Integrator processes flexible, extensible and modular. Knowledge modules drive data flow and specify templates for generating code on many systems involved in each data integration process. Oracle’s Data Integration Solution provides an extensive library of knowledge modules that can be customized to implement current best practices, such as the use of differentiation systems and methods for optimal performance.

Pricing

For specific pricing information, contact Oracle Sales.

SAP data service

Photo: SAP

SAP data services provide data quality, clarity and integration capabilities to enhance the structured and unorganized data of an organization. The software improves enterprise-wide data quality. It enhances business results by providing reliable, relevant, timely and effective information. Enterprises enjoy relevant insights and reveal the full potential of their data through a full view of their data, including data access regardless of source and volume. With SAP data services, users can actively correct quality problems, reduce duplicates, and improve decision-making and effectiveness by identifying relationships.

Integration with SAP applications

With the SAP Data service, users enjoy local access to SAP Business Suite apps. SAP Data Services not only refers to the application model and examines the relevant metadata, but also reads the data based on the programming language. These languages ​​include IDocs, ABAP, RFC, BAPI and SAP Extractor.

SAP Data Hub Interconnection

SAP Data Services Data Integration Solution offers computing node and connector options. This is achieved through the SAP Data Intelligence solution, which allows users to engineer the flow of data from SAP data services.

Local support for third party solutions

Microsoft SQL Server, MySQL, Oracle, IBM Informix, IBM DB2, HP Vertica, Netezza and other third-party data sources enjoy local support. Adapters for HTTP, JDBC, Apache Hive, MongoDB and OData are also supported. In addition, using Microsoft Azure, Impala, Big Data Services, Apache Hive and OData, big data and cloud support can be expanded.

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Data quality

SAP Data Services provides a user-friendly experience by reducing the time required for data integration through a single interface and through quality designing, testing, debugging, maintenance, editing and monitoring. Explain, standardize, modify, enrich, match, and integrate customer and operational data resources to offer conversions ready to use SAP data services, extending existing capabilities with user-defined changes.

Data profiling

To meet the demand for high-volume data, SAP data services provide users with the ability to scale to multiple servers and better performance through parallel processing, bulk data loading and grid computing. Performance can be improved when performing a task, using multiple processes, one server or multiple servers, demonstrating great scalability and availability. The solution helps users maintain data privacy, anonymity and compliance.

Pricing

Although pricing information is not provided publicly, the seller offers an option to request a quote on the SAP Data Services website.

Oracle Data Integrator vs. SAP Data Services: Feature Comparison

Oracle Data Integrator and SAP Data Services both provide data integration tools, they share several features. However, SAP data services go beyond data integration to provide a single solution for data quality, refinement and profiling.

Oracle Data Integrator SAP data service
Category Mixture Integration, data quality, data cleansing
ETL 3 3
Different information sources 3 3
Metadata management 3 3

Choosing the right tool

Since the two tools share the most important data integration features, your choice may be influenced by the scope of your field of use. Are the integration features enough, or do you need a single solution that offers so much more than integration? Another reason to consider is the price because the cost-effective tool is certainly an advantage. Demos are also a plus because you can test a tool and gauge factor such as ease of use and ease of setup.

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