Zaloni Data Platform

A Unified Data Platform for Agility and Scale

Integrated Self-Service Data Platform for Cloud and Hybrid Environments

To accelerate time to insight and value, you need a single, unified data platform that automates data management, cataloging, governance and self-service to produce a scalable, actionable data lake. The Zaloni Data Platform (ZDP) is a comprehensive, integrated solution that operationalizes data processes along the entire pipeline from data source to data consumer.

The platform is distribution agnostic and ready where you are: the cloud, on-premises, multi-cloud or hybrid.

Supporting your business goals and digital transformation strategies, Zaloni’s platform enables an enterprise-wide DataOps approach, aligning data stakeholders and balancing governance with self-service data access and preparation to improve collaboration, reduce time to insight, and incorporate data into everyday business practices.

  • An integrated platform for everyone who touches the data
  • Self-service data catalog provides governed access to data across the organization
  • Automation of repeatable management tasks and processes
  • Ability to centrally manage all enterprise data sources regardless of location: On-premises, cloud, multi-cloud, or hybrid
  • Reduction in total cost of ownership across infrastructure, data, and labor

Discover how you can get more from an operationalized data lake.



75% Faster
to build and scale
the data lake


reduce time to insight
from weeks
to minutes


Accelerate time and effort to build the data lake by 75%.


Reduce time to insight from weeks to minutes.


Enjoy a 650% return on investment vs. build your own.

Enable the data lake for management that scales

IT and engineering teams can build and manage the data lake to scale for right-time insights across the enterprise:

  • Ingest data, from any source, with ease
  • Simplify and accelerate ingestion processes through self-service ingestion wizard
  • Automatically capture operational, technical and business metadata to organize your data lake
  • Orchestrate and automate data preparation
  • Significantly reduce time spent on coding via the drag-and-drop interface
  • Maintain a clean data catalog for self-service data discovery and preparation

Simplified Ad Hoc Ingestion

Govern the lake for data quality and trust

Data stewards and compliance teams have access to manage processes and access to data for right-sized governance and quality:

  • Leverage metadata management for governance
  • Track data lineage throughout the data lifecycle
  • Implement agile data mastering
  • Automate workflows to ensure data quality and integrity
  • Enforce data privacy and role-based security
  • Manage the comprehensive data lifecycle from interception to retirement

Data Lineage

Engage with analytics-ready data

Analysts and data scientists can discover data sets, interact with them and uncover the insights that drive your business:

  • Explore and curate data from an enterprise-wide data catalog
  • Expand search globally across zones, projects, workflows, data quality rules and transformations
  • Reduce time to analytics with self-service data preparation
  • Enable collaboration in workspaces for improved productivity
  • Increase efficiency through automated workflows

Global Search

Customize to Fit Your Business Needs

Data Master Extension (DME)

Build golden records using a spark-based machine learning engine for matching and linking records.

About the Architecture

Minimize the pain of modernizing your data architecture with no need to rip and replace.

Big Data Solutions

Learn how Zaloni solutions can help your organization accelerate business insights with data lakes.

Customers & Case Studies

Our customers use data lakes to digitally transform their business and gain competitive advantages.

Discover the Value of an Operationalized Data Lake

Zaloni Data Platform (ZDP) Brief
Modernize Your Data Architecture to Stay Competitive
[Demo] Zaloni Data Platform

Let’s talk about how the Zaloni platform can operationalize your data lake.