Unify and Accelerate Your Data Workflows with DPL Studio Connectors

With more than 250 connectors, modern integration platforms connect to a broad range of sources, including SAP, relational and non-relational databases, file systems, and enterprise apps, simplifying and accelerating data movement across systems.

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Demo and Features: 

DPL Studio connectors are integration adapters that let DPL Studio interact with external data sources and enterprise apps, providing a unified way to read, write, and sync data via ODBC, JDBC, and ADO.NET—no custom code required. 

  • Connecting Multiple Data Sources. 
  • Automating Data Pipelines. 
  • Data Transformation and Enrichment. 
  • Monitoring and Alerts. 
  • Compliance and Security Settings. 
  • Extensive Connector Library. 
  • Automated Workflow Management. 
  • Intuitive Data Transformation Tools. 

Benefits: 

 Modern data integration platforms with 250+ connectors offer a powerful demonstration of their ability to connect diverse data sources, automate workflows, and streamline data management.  

  • Connecting Multiple Data Sources. 
  • Automating Data Pipelines. 
  • Data Transformation and Enrichment. 
  • Monitoring and Alerts. 
  • Compliance and Security Settings. 
  • Extensive Connector Library. 
  • Automated Workflow Management. 
  • Intuitive Data Transformation Tools. 

DPL Studio connects to virtually any data source with over 250 prebuilt connectors, giving you fast, reliable access to files, databases, SaaS apps, and enterprise systems. 

Connector Categories 

  • Storage connectors — Connect to object, file, and cloud storage for ingest, archival, and Lakehouse workflows. 

Examples: Amazon S3, Azure Blob, Google Cloud Storage, HDFS, SFTP. 

  • Native connectors — Vendor API/SDK integrations for full‑fidelity access to app data and metadata. 

Examples: Salesforce, ServiceNow, SharePoint, Dynamics 365. 

  • Standard connectors — Industry driver layers and common formats for broad compatibility across tools and engines. 

Includes: ODBC, JDBC, ADO.NET; JSON, XML, Text/CSV; MS Excel, MS Access. 

  • Relational database connectors — SQL engines with structured schemas and ACID guarantees. 

Examples: Oracle, SQL Server, MySQL, PostgreSQL, MariaDB, DB2, Snowflake. 

  • Non‑relational database connectors — NoSQL/search stores for semi‑structured and high‑throughput use cases. 

Examples: MongoDB, Cassandra, Redis, DynamoDB, Elasticsearch, Couchbase. 

  • ERP system connectors — Connectivity for packaged enterprise apps across finance, supply chain, and HR. 

Examples: SAP, Oracle E‑Business Suite, Microsoft Dynamics 365, NetSuite. 

  • SAP connectors — Deep, SAP‑specific integrations for operational and analytical workloads. 

Examples: SAP IDoc, SAP ByDesign, SAP Business One, SAP HANA. 

  • CData connectors — Expand coverage with the CData adapter library exposed via ODBC/ADO.NET. 

Options: full suite (228+ adapters) or select only the connectors you need. 

  • Generic database connectors — Catch‑all SQL/NoSQL drivers to reach additional or niche engines beyond the named list. 

 Why it matters 

  • Faster time to value: plug‑and‑play connectivity—no custom ETL required. 
  • Broad coverage: 250+ connectors across files, databases, SaaS, and ERP. 
  • Flexibility: mix native, standard, SAP, and CData connectors to fit your stack. 
  • Scale & governance: consistent auth, policies, and observability across sources.