Overview

Automates Data Pipelines

Create an automated process that loads staging data into target systems with Zero coding required.

Empower Data Self-Service

Zero coding interfaces allow end users and non-ETL developers access to move data into analytic sandboxes and other reporting environments. Eliminates the need for costly ongoing data requests from IT and ETL developers.

Load Data JDBC to Hadoop/Hive

Move data from any JDBC data source to any Hadoop HDFS file(s), and make those files available to HIVE or other SQL on Hadoop interfaces.

Zero Coding (Point and Click)

Web based UI allows, non-developer users to create, run and schedule data movement from any accessible data source to any accessible target.

Automate Integration Processes

Build automated integration process from data staging to the final datamodel. Using a combination of staging mapping and custom SQL mappings with workflow, users can create a full source to target ETL framework.

Load Data JDBC to JDBC

Move data from any JDBC Database to any other JDBC Database.

Reflect Key Features

  • Schema and DDL Replication

    Target tables and files auto generated
  • Custom SQL Source Qualifiers

    Unlimited power via Custom SQL
  • Row-level Filters

    Simple yet powerful data filtering
  • Change Data Capture (CDC)

    Stream data changes as they occur in your sources
  • Workflow Engine

    Graphically connect mappings with success and failure messaging
  • Target Templates

    Create data output templates for specific targets
  • Built-in Scheduling

    Schedule jobs to run on any time, date or frequency
  • Data Limits (WAN optimization)

    Throttle data movement to optimize bandwidth
  • Agent-based job scaling

    Scaling mappings across multiple servers to increase performance
  • Web based UI

    Simplified modern web interface for all user types

architecture

Supported Data Stores

  • Oracle
  • Oracle Exadata
  • PostgreSQL
  • Microsoft SQL
  • DB2
  • Teradata
  • SAP Hana
  • MySQL
  • Redshift
  • Any JDBC

  • HDP HIVE
  • CDH Impala
  • Kafka
  • HBase
  • HDFS Files:
  • CSV, JSON, ORC, Avro, Parquet & more

Get in touch

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