Strategic Product Partners
AlyData clients use various data management products to enable capabilities. We have strategic partnerships and strong relationships with the leading vendors to provide strategy, planning, and implementation related services to clients.
Solidatus empowers organisations to effectively map, manage and monetise their key asset – data. Businesses across the world are dealing with complex data points and the lineage-first approach championed by Solidatus is transforming the data management industry.
BigID aims to transform how enterprise protect and manage the privacy of personal data. Organizations are facing record breaches of personal information and proliferating global privacy regulations like the EU GDPR with fines reaching 4% of annual revenue.
Today enterprises lack dedicated purpose built technology to help them track and govern their customer data at scale.
StreamSets is all about modernizing data integration so that their customers can make the most out of today’s high-volume, high-velocity, always-changing data.
As the world’s leader in Enterprise Cloud Data Management, we recognize a generational market disruption in data is underway. We are entering Data 3.0, where data powers digital transformation, and we’re prepared to help you intelligently lead—in any sector, category or niche. Informatica provides you with the foresight to become more agile, realize new growth opportunities, and create new inventions.
Denodo is the leader in data virtualization providing agile, high performance data integration and data abstraction across the broadest range of enterprise, cloud, big data and unstructured data sources, and real-time data services at half the cost of traditional approaches. Denodo’s customers across every major industry have gained significant business agility and ROI.
Immuta gives you granular, dynamic control of who accesses your data and why — without copying data or writing a single line of code. The result is instant data self-service with powerful security and oversight.
AI and Machine Learning-based product for automatic Data Quality Rule Discovery and Continuous Data Monitoring. Requires no coding and eliminates manual rule development, maintenance, and execution.
It’s a cross-organizational data governance platform that delivers openness and freedom. It breaks down traditional data silos and opens up organizational data so all users can find the data they need, collaborate on it, and easily understand its meaning. Collibra has a data catalog capability as well.
Alation’s data intelligence platform helps you get value from your data — driving business impact and revenue growth for leading global enterprises.
Every organization uses data to stay relevant and competitive while undergoing constant digital transformation process. MANTA’s unified lineage platform shows you the data’s origin and its journey through all data-processing systems to you and every other user at the organization.
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets. See real world examples.
We envision a world where people in large enterprises consume accurate, up-to-date, unified data distilled from many silos to deliver transformational outcomes. Tamr’s agile master data management tools combine, consolidate, and classify siloed enterprise data using human-guided machine learning to fuel digital transformation with clean, trusted data.You can perform transformations on the dataset without having to leave Tamr, making the maintainability and convenience unparalleled. Tamr’s transformations are Spark-powered for speed and scalability, and have a SQL-like syntax making it easy to use.
Preparing large data sets for Data Science and Analytics in a self-service manner.