How to join IBM Netezza and TimeCamp

Discover how to join IBM Netezza with TimeCamp for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate IBM Netezza and TimeCamp data into one target storage and analyze it with your BI Tool.
How to join IBM Netezza and TimeCamp with Pipes


About IBM Netezza

IBM Netezza designs and markets advanced data warehouse appliances for analytics applications. Use cases for IBM Netezza include business intelligence, data warehousing, business continuity planning and predictive analytics. The Netezza SQL commands support the standard grammar (SQL-92). The purpose-built, embedded, advanced analytics platform IBM Netezza Analytics helps client's analytics to meet their business demands.

About TimeCamp

TimeCamp is a web app to track the activities of computer users and is intended for either freelancers or teams. The tool is a time recording software for accounting the work of employees based on an hourly rate, measuring work effectiveness and project management.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to IBM Netezza, TimeCamp and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.