Informatica Cloud Data Integration vs SAP Data Services comparison

Informatica Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

Informatica Cloud Data Integration Features

Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

• Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.
  
  
• Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.
  
  
• Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.
  
  
• Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.
  
  
• Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.
  
  
• Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.
  
  
• Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.
  
  
• Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.
  
  
• Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.
  
  
• Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

Informatica Cloud Data Integration Benefits

Informatica Cloud Data Integration brings multiple benefits to its users. These include:

• The product offers optimized connectivity to various systems through custom build-connectors.
  
  
• Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.
  
  
• The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.
  
  
• Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.
  
  
• Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.
  
  
• The solution offers consistent experience and unified metadata across all cloud services.
  
  
• Users can leverage enterprise-level performance for integration design with no coding required.
  
  
• Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

Reviews from Real Users

Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.

Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:

• Simplified maintenance
• On-premises deployment
• Data quality and integration
• Intuitive user interfaces

the product transforms data into a ready-to-use resource for business insights.

Some of the key components of SAP Data Services include:

• Universal data access
• Native-text data processing
• Intuitive user interfaces
• Data quality dashboards
• Simplified data governance
• Scalability and high performance

Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.

SAP Data Services Features

The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:

• Data integration capabilities: The features regarding data integration provide a wide variety of opportunities. The product is available in 31 languages and connects to many data sources, providing its clients with access to their data anywhere at any time. It is also integrated with the SAP Business Suite applications, allowing users the full experience that the company has to offer. The tool is interconnected with SAP Data Hub, orchestrating data flows through the SAP Data Intelligence solution. Additionally, it supports a large number of third-party data sources, it is optimized for SAP HANA, and provides fine-tuned data replication and transformation through unique mechanisms.
  
  
• Data quality capabilities: Clients can use a single interface to access designing, testing, debugging, editing, running, maintaining, and monitoring of data integration and data quality. It allows for the delivery of ready-to-use transformations and exposes hidden problems in users' data. With this feature, clients can build a single version of their data that is most efficient for them.
  
  
• Data profiling capabilities: Companies that work with high-volume data can employ parallel processing, bulk data loading, and grid computing to be able to operate with the data more efficiently. This feature enables unlimited scalability and high availability by various automations. It also provides excellent security for the treated data through encryption and other services.
  
  
• Processing of text data capabilities: This feature allows users to extract data from unstructured texts and understand it better. It works with 220 different file and text formats and 31 languages.

SAP Data Services Benefits

This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:

• Broad access to data which can build a better perspective for companies of their information.
  
  
• Improved decision-making and information management due to efficient data operations.
  
  
• Ability to utilize various tools to help unify data on premises, in the cloud, or within big data.
  
  
• The software provides efficient insight for reporting and data analytics.
  
  
• The tool allows for easy integration with a large number of different databases.
  
  
• The product provides the opportunity to seamlessly connect with other SAP solutions.
  
  
• The solution simplifies extract, transform, and load (ETL) construction processes through intuitive graphic software.

Reviews from Real Users

According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.

An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.