Making the data look natural
Engineer informed decisions by simplifying, optimizing, and automating your data pipelines.
- Make data warehouse ready.
- Engineer data on-premises or on-cloud.
- Build no-code data pipelines.

Unleash the power of your data
Ingest
Ingest data with our connectors from SaaS apps, databases & cloud platforms.
01Transform
Efficiently transform your raw data from its source format & get useful insights.
02Optimize
Enhance your data quality, by removing errors, redundancy & inconsistencies.
03Enrich
Enrich & improve your dataset with calculated values, filling in the extra information.
04No-Code data pipeline management
Combine and manage your multiple datasets effortlessly at once, using Infoveave’s integrated pipeline builder & No-Code tools.
Easy connectivity
Optimize the process of data engineering and management with zero coding. Easily configure parameters and quickly get data pipelines up and running with Infoveave®. Our native connectors, helps you effortlessly pipeline data from various sources including Salesforce, Microsoft Dynamics 365, Genesys and more than 50 others.
Our comprehensive solution helps businesses extract, transform and load data from a variety of sources, allowing them to gain insights, make informed decisions and drive growth. Take control of your data with Infoveave®. Manage and optimize your data pipelines, for ensured data accuracy and availability.
Cloud Agnostic
Switch across all cloud-platforms with ease and enjoy smooth & uninterrupted working.
DWH Integration
Connect native cloud applications to the data warehouse effortlessly with ease.
Rule-governed
Define rules to map any column of choice from datasource and trigger specific actions.
actionable alerts
Receive real-time updates & actionable alerts in a tailored & automated manner.
Retry Logic
Get a count on the maximum number of times an operation should be retried.
API Pipelining
Populate your pipeline and move dots throughout the system with API-driven pipeline.
Error Check
Implement data error checking & validation component by sequencing jobs.
In-memory
Virtually transform the data with minimal interference and increased robustness.