Ingest At Scale

Application and infrastructure source code is combined as a configuration artifact which generates an observability file based on the resources being provisioned.

Safe & Secure

By owning the entire pipeline we can control data tightly delivering security (GDPR) & trust (data quality).

Trust

Have confidence that your insights can be relied upon.

Analysis

Analyse ingested data by easy integrations with Jupyter Notebooks and BI tools.

Quality & Speed

Data Pipes leverages Debezium to securely ingest data in a data lake using Change Data Capture (CDC). Data is perfectly replicated in minutes, with minimal load on the source systems.

Deployed in your cloud

From data sources to your cloud data lake, the data never leaves your cloud. Retain complete control over your data at every stage of the journey.

No Code

From an intuitive user interface, Data Analysts can quickly create new data ingestion pipelines without writing any code.

Data Discovery

Find existing datasets in your data lake, understand what the data means and who’s the expert. Share domain knowledge across the organization and easily find which datasets can help work on a use case.

Data Analysis

Quickly go from data discovery to analysis or Machine Learning modelling. Share analytics and models through the organization.

Data Governance

Manage and organize your data to enable collaboration and access to only the authorized users. Curtails the risk of data misuse by delivering data which is consistent and secured.

PII Tagging

Foster accountability in data use and promote data ethics using classification, tagging and masking of sensitive data to ensure its protection and meet PII compliance.

Data Lineage

Understand the full context of your data from end-to-end data visualization. With granular level analysis, know where the data is coming from, how it is being used and who is using it.

Database Migration

• Complex Migrations with Zero Downtime
• Real-time Migrations with best practices

Datawarehousing

• Datalake Setup across Multiple Clouds
• Automated Ingestion & Transformation Pipelines
• Performant & Efficient Data Warehouses

Advanced Analytics

• State-of-the-art Reports
• Advanced AI/ML Pipelines for Complex Predictions

Database Optimization

• Performance Tuning of Managed Databases
• Best Practices for Cluster Health & Performance

DataOps

• Smoother Execution with Enriched Data Pipelines
• Timely Resolution of Issues
• Patches & Code Upgrades

Machine Learning Ops

• Automate Model Tuning, Optimisation & Deployment
• Infrastructure Provisioning
• Roles, Security & Network Provisioning