Best Data Governance Software in Europe

Google Cloud Platform provides advanced tools for data governance, including Cloud Data Loss Prevention (DLP) and Cloud Identity & Access Management (IAM). These services help businesses enforce data privacy policies, track access, and ensure compliance with regulations like GDPR. New customers can use the $300 in free credits to run, test, and deploy workloads, allowing them to try out GCP’s data governance tools and understand how to securely manage and protect their data on the platform. GCP’s data governance features provide granular access control, ensuring that sensitive data is only accessible by authorized users. The platform also enables real-time auditing, which helps organizations maintain an audit trail for compliance purposes. These tools ensure that businesses can manage their data securely while maintaining transparency and compliance with industry standards.

Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, control documents, manage risks, and maintain regulatory compliance with full traceability and audit readiness. Built for highly regulated sectors such as aerospace, life sciences, finance, and government, IMS provides real-time visibility, automated workflows, and AI-driven insights that improve quality and reduce operational risk. The platform is ISO 27001 certified and fully validated for 21 CFR Part 11, making it suitable for mission-critical environments requiring strong governance, security, and control. IMS also includes low-code automation, process mining, audit management, training tracking, CAPA workflows, and dashboards to help teams streamline operations and continuously improve. AI strengthens governance, improves accuracy, and reinforces regulatory control.

💯 The #1-rated Data Privacy & Security platform on G2, custom-built with a people-centric approach to please and empower privacy and compliance professionals. We're so confident you'll love our platform, too, that our PoCs are completely free. Thanks to the fastest implementation time and the highest ROI on the market, companies can strengthen their privacy programs to handle DSARs, RoPA reports, and other privacy tasks faster and get true oversight over user data within days. We’re innovating the sphere so anyone within an organization can use and understand the value of data privacy through: Email Navigator Technology, Continuous Data Classification & Smart Sampling, Mine Radar, Data Mapping, Automated DSR/DSAR, Automated ROPA, DPIA and PIA reports, AI Suggestions, Consent Management, Vendor Risk Assessment. With MineOS, you’re not just investing in data governance, you’re creating a two-way street with your customers to show you respect their digital rights. MineOS.ai

Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.

Asigra helps IT teams increase their data recovery confidence through our unsurpassed reliability, security, manageability, and affordability in data protection software. Asigra's Enterprise Backup and Disaster Recovery (BDR) software platform was designed for Managed Service Providers (MSPs) to host and operate their own Backup as a Service solution. The easy to manage platform offers users the ability to white-label it to match your brand, while its breakthrough Hybrid Cloud Backup architecture combines a Cloud optimized scale-out architecture, a Cloud backup and recovery software platform, and a Cloud API and management system to help IT Teams seamlessly and efficiently manage, scale and deliver data protection services.

Easily and simply control your sensitive data in Snowflake today so you can get more value from it in minutes instead of months. With ALTR you can automatically discover and classify sensitive data with a checkbox on import. Add controls like data masking with a drop-down menu. Set alerts and limits on data access by user, amount, and IP address from a single screen. No on-prem hassles or added costs, no proxies to break with a platform change and no managed services disguised as SaaS. ALTR was born in the cloud and natively integrates with platforms like Snowflake. With ALTR’s complete data control, you can visualize data usage, detect anomalies and alert on them, block threats in real time, and tokenize critical data. Safeguarding all your data. Because ALTR is built for the cloud, there’s no large up-front commitment—you can start for free and only upgrade as needed.

Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments.

Dataplex Universal Catalog is Google Cloud’s intelligent governance platform for data and AI artifacts. It centralizes discovery, management, and monitoring across data lakes, warehouses, and databases, giving teams unified access to trusted data. With Vertex AI integration, users can instantly find datasets, models, features, and related assets in one search experience. It supports semantic search, data lineage, quality checks, and profiling to improve trust and compliance. Integrated with BigQuery and BigLake, it enables end-to-end governance for both proprietary and open lakehouse environments. Dataplex Universal Catalog helps organizations democratize data access, enforce governance, and accelerate analytics and AI initiatives.

Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.

Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.

Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool. Standardize authorization method across all Hadoop components. Enhanced support for different authorization methods - Role based access control etc.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.