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
Enhance 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 50+ sources including Salesforce, Microsoft Dynamics 365, and Genesys.
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 work.
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.