Data Integration

Data Integration

Data integration is the process for combining data from several disparate sources to provide users with a single, unified view. Integration is the act of bringing together smaller components into a single system so that it's able to function as one.

Benefits:

  • Connections, Accelerated
  • Accelerate time to value
  • Simplified configuration with guided intelligence
  • Tailor to your needs with customized connectors
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Operators

An operator type just in case

Connections, Accelerated

Overcome IT complexity and break down data silos by integrating on-premises and cloud applications, data sources and devices. Create a digital ecosystem of connectivity to unlock productivity and thrive within your digital technology foundation.

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Accelerate Time to Value

Drag and drop UI, data mapping tools, and a comprehensive library of connectors, coupled with support for various integration patterns enable you to build any integrations with exceptional speed.

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Simplify with Guided Intelligence

Operational intelligence, reusable business logic, and data flow recommendations simplify your integration process and error resolution.

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Tailor to Your Needs

Templates, process libraries, and custom scripting balance your productivity and control, allowing your organization to be successful with any connected business use case.

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Connectors

Database connectors, including: Oracle, Microsoft SqlServer, PostgreSQL, MySQL, MariaDB, MongoDb, Exasol, Clickhouse, IBM DB2, SQLite, ODBC.

Physical File Connectors including: FTP, SFTP, Local folder, Samba, AWS S3, HDFS, One Drive, Google Drive

Connectors for Services, including: HTTP, Kafka, SalesForce, Google Analytics, Nakivo

Operators

Database: Read & Write DB, SQL, DDL

File system: Read & Write CSV, Read & Write JSON, Read & Write JSONL, Read & Write Text, Find FS, Copy FS, Move FS, Delete FS, Compress FS, Decompress FS

Service: HTTP, HTTP paginated, Nakivo status, Google Analytics reporting

Logic: For each, For, Condition, Variable

Utility: Python, Bash, Email, Trigger Flow, Debug, Error