Data Integration

A complete set of fully integrated features for low-code data integration.

Connectivity

Unified data access to cloud and on-premise applications, supporting all use cases:

Universal UI and API access all kind of sources (CRM, ERP, E-Commerce, databases, files) via hundreds of pre-built connectors
Create new connectors or customize existing ones using a UI-based connector builder
Bi-directional data movement with full CRUD (Create, Read, Update, and Delete) support
Optimized bulk and incremental loads with seamless schema synchronization

Builds a complete and accurate picture of enterprise data across data sources and formats:

Meta-data search and navigation through universal user interface
Data preview from any source and in any format.
Advanced data profiler: column value distribution, uniqueness and completeness, join profiler, discovering relationships.

Complete set of operation and tools to manipulate your data:

Combining drag-and-drop UI with query languages significantly speeds up development, maintains high levels of customization and maintainability, and leverages the familiarity and efficiency valued by analysts and developers.
Compete set of operations for all use cases: filter, join, auto/manual mapping, parse and map XML or JSON, streaming XML parser, publish data to any text formats (HTML, XML, etc), rich set of pre-built string parsing and standardization functions for all domains, and more.
Extensible with custom operations and value functions in JavaScript and Java.
In-source execution enhances performance and handles large data by pushing filtering and transformation to the appropriate sources.
Integrated user interface for streamlined scenario debugging, previewing and profiling data.
Automate via scheduling repeatable scenarios

Rich set of tools to ensure all your data is clean and ready to provide the trusted insights:

Data validation for value correctness, uniqueness, reference integrity, format checking, and aggregate constraints with a steward UI.
Data parsing and standardization based on rules and reference data.
Address validation and enrichment via integration with data providers (e.g. Dun & Bradstreet, Melissa Data, SAP Data Services).
Market’s most advanced fuzzy matching technology for deduplication (single-source) and linking (two-source).
Holistic data steward user interface designed for the business user.

Scales to any data volume and provides industry-leading performance:

Inter-operation parallelism enables concurrent execution of independent operations, significantly reducing total execution time.
Intra-operation parallelism decomposes a single operation into smaller tasks executed concurrently on partitions of input data. This automatic operation decomposition and data partitioning require no complex configuration.
In-source execution, a core principle of InfoLink, maximizes performance and infrastructure utilization by pushing operations such as filtering and transformations to the sources. This enhances performance by keeping data in place and allows for choosing the most efficient and convenient system for handling your data volumes.
Intelligent optimizer automatically chooses the most efficient execution method analyzing properties of your data and capabilities of the underlining source/staging systems.
InfoLink features a native distributed mechanism that simplifies deployment across multiple servers. It allows you to partition data, dispatch distributed tasks, gather results, and monitor the entire process from a single interface.