• Solutions

    Solutions

    Data integration, data access, cloud to cloud backup and management.

    Overview

    Analytics

    Data Insights Multi File Insights

    ETL

    Source Destination Create Table Load data Processor

    Log

    Audit

    Help

    Contact Us support@dataportabil
    itytool.com
  • Company
    • About Us
    • Contact Us
Request a Call
Sign In SIGN UP
profile
Logout

Data Portability Tool

The Data Portability Tool (DPT) is a comprehensive data integration platform designed to streamline and automate end-to-end data pipelines. Read more..

The Data Portability Tool (DPT) is a comprehensive data integration platform designed to streamline and automate end-to-end data pipelines. It enables seamless integration and processing of data from over 10 diverse sources, including SaaS applications and databases, with the flexibility to scale as your data needs grow. DPT offers an intuitive, user-friendly interface that allows users to effortlessly apply data transformations and create the final data models needed for business reporting and intelligence.

Aivista

Data Portability Tool

All the capabilities, none of the firefighting
Automate and control end-to-end data pipelines - from combining raw data to driving last mile business actions - all within one intuitive, zero maintenance platform.

Extract Data From Anywhere

Instantly connect and read data from 10+ sources including SaaS apps and databases, and precisely control pipeline schedules down to the minute.
Image Title
Image Title

Load Data How You Need

Load data into the warehouse in near real-time and control how it lands with preload transformations, automated schema mapping, and keep data updated with CDC.

Transform Data For Analytics

Prepare data for analytics seamlessly as it lands in the warehouse through powerful data models and workflows that run in sync with your pipelines.
Image Title
Image Title

A common Source and Destination Sync Schedule

Introducing a common Sync Schedule instead of different ingestion and load frequencies for a Pipeline. Users can migrate their existing Pipelines to use the Sync Schedule, post which, each data replication job, or Pipeline run, will be triggered as per its configured sync schedule. This feature is expected to bring consistency in terms of observable end-to-end data replication, on account of this being single schedule-driven instead of multiple schedules which can result in latency and data mismatches.
Image Title

Extract-Load-Transform

      While Pipelines in DPT address the Extract and Load steps in our Extract-Load-Transform (ELT) approach of moving your data from the Source to the Destination warehouse, the Transform step is achieved using dbt™ Models, SQL Models and Workflows. The most important benefit of the ELT approach is that you can transform your Source data in any manner, and any number of times. You can also transform only the data you need for a particular business analysis. To enable this, DPT offers the intuitive and easy-to-use Models interface, where you can apply transformations on the data till you reach the final data model that is required for your business reporting and intelligence needs. Using the Query Builder in Models, you can design and test standard SQL queries that can aggregate data from one or more systems and transform it for analysis and reporting and work closely with the Destination schema. You can also create SQL Join clauses that can combine data from multiple tables, and write the query results into a new table.