Top Data Governance Tools for 2025

Article Summary

Five things you need to know about data governance tools:

1. Data governance is more important than ever due to legislation like GDPR, CCPA, and HIPAA. 
2. Data governance software tools help you comply with legislation and industry frameworks and improve how your enterprise handles different data types. 
3. The data governance tools on this list include features such as ELTG, data cataloging, data profiling, and compliance audit readiness.
4. Integrate.io is a data warehouse integration platform that improves data governance in your organization.
5. Use Integrate.io to safeguard sensitive and confidential information when moving data between a source and a supported target system.

Data governance refers to the methodologies, procedures, and standards that control how your organization processes, manages, stores, and shares data. Legislation in your jurisdiction or industry, such as General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA), might require you to safeguard all the data that flows through your enterprise. Not adhering to these legislative frameworks could result in expensive fines from the government.

The latest data governance tools help you maintain data security and quality and comply with the law. Learn about the best platforms for data governance below and discover how Integrate.io can help you avoid risk and liability when moving data between different locations.

What are the Top Data Governance Solutions for Businesses Focusing on Automated ETL Processes?

Integrate.io, Collibra, and Alation are among the best data governance solutions for businesses prioritizing automated ETL workflows. Integrate.io enhances governance by seamlessly integrating data masking, encryption, and transformation within ETL workflows, ensuring high-speed, policy-compliant ingestion without slowing your data flow. 

1. Integrate.io 

Integrate.io is one of the best data governance tools when moving data from a source to a supported target system for analysis. The new Extract, Transform, Load (ETL) platform performs high-speed data transformations that encrypt, mask, or eliminate sensitive data such as Personally Identifiable Information (PII) and Protected Health Information (PHI) before moving data to a destination, helping you comply with data governance legislation like GDPR and CCPA. This process, which Integrate.io calls Extract, Transform, Load for Data Governance, or ETLG, builds on traditional ETL, improving your internal data governance policy and removing risk and liability. 

Integrate.io's ETLG capabilities won't slow down data ingestion, so you can benefit from enhanced data governance without impacting preload and post-load ETL transformations. You can still perform high-speed data integration like with traditional ETL workflows. For more complicated data projects, Integrate.io lets you execute lightweight preload transformations that meet internal and external data governance requirements and save "heavier" transformations for later. 

Aside from ETLG, Integrate.io's advanced ETL platform is a top data governance solution for businesses focusing on automated ETL processes by applying industry standards and adhering to regulations across all of its processes. Integrate.io:

• Is certified as SOC-compliant
• Adheres to GDPR as a responsible and secure data processor
• Complies with HIPAA when protecting PHI
• Adheres to CCPA as a responsible and secure data processor 

G2 Rating: 4.3 / 5
Key Features:

• No-code/low-code ETL pipelines with rich transformation layer

• Workflow orchestration (scheduling from every 5 minutes upward)

• 60-second real-time database replication

• API generation (include authentication, rate limiting, scripting)

• Extensive connectors library and advanced expression language

Pros:

• Intuitive, easy to use

• Fast implementation with reliable customer support

• Efficient ETL workflows and API integration

Cons:

• Pricing may not be suitable for SMBs, which are entry-level

Pricing:

• Core plan: Approx. $1,999/month (unlimited data, pipelines, connectors; 60‑second sync; 30‑day onboarding)

• Enterprise plan: Custom-priced for security, AI, compliance, and support needs

Integrate.io has a simple philosophy: to simplify data integration. The platform comes with low-code/no-code native connectors that let you move data to a supported target system while adhering to data governance policies and legislation. Try Integrate.io yourself with a 14-day trial! 

Read more: ETLG: ETL for Data Governance and Better Security

2. Informatica

Are you looking for data governance tools? Informatica is an ELT-based data integration tool that allows you to comply with data governance frameworks and better manage sensitive data. One way it does this is by scanning metadata catalogs, business intelligence (BI) tools, and cloud platforms to create a data catalog, a critical component of any data governance strategy. Your data catalog will identify your organization's data assets and their location, helping you discover data sets for more successful governance. 

Informatica can also improve data governance by optimizing master data management and metadata management. That allows you to coordinate data across your organization and ensure data sets comply with the relevant frameworks. You can also use Informatica to improve the accuracy, uniformity, and stewardship of all the data you process, manage, store, and share. 

Other Informatica features for data governance include data policy management and automated data lineage tracing for impact analysis. 

G2 Rating: 4.3 / 5
Key Features:

• Cloud-native data discovery, cataloging, governance, and lineage

• AI-driven data intelligence and classification

• Unified metadata management and business glossary

Pros:

• Powerful, predictive governance capabilities

• Automates tagging and documentation process

• Enhances collaboration across governance teams

Cons:

• Limited transparency on data handling processes

• Complex integration with diverse systems

• Pricing details not public

Pricing:

• Based on Informatica Processing Units (IPUs): A flexible, consumption-based model

• Example tier (e.g., £74,999/year) cited for some cloud offerings

3. IBM Watson Knowledge Catalog

IBM Watson Knowledge Catalog is a data cataloging tool that lets you improve governance when using IBM technology products such as Db2. It utilizes machine learning algorithms to govern metadata and data sets, helping you adhere to data governance frameworks and avoid fines for noncompliance. 

One of the best features of Watson Knowledge Catalog is powerful data visualizations that generate insights into data cataloging processes. You can view the latest graphs, charts, and heat maps to view the location of your most important data assets. Share these insights with data engineers, data scientists, and other professionals who access your organization's data. 

Other data governance features include automated data lineage and compliance audit readiness with PCI and PHI. You can also access data stewards, business analysts, and other professionals to guide your data governance strategies and ensure data in your organization remains consistent and compliant with the law. 

G2 Rating: 4.3 / 5
Key Features:

• Indexing/catalog of data assets (models, notebooks, folders)

• AI-powered search, recommendations, and metadata tagging

• Asset rating & review workflows

• Importable curated glossaries (“Knowledge Accelerators”)

Pros:

• Unified metadata repository with AI support

• Flexible deployment across multiple global regions

Cons:

• Weaker collaboration and support compared to peers

• Some UI and integration limitations noted

Pricing:

• Lite plan: Free trial with limits (e.g., 50 assets/month)

• Additional tiers (Standard, Enterprise) available via request

4. Collibra

Collibra is one of the best data governance tools because of its data ownership and stewardship features. You can view data assets on the platform and ensure they are useable, accessible, and secure. Collibra also excels when it comes to data cataloging. It uses machine learning to search your data sources and creates a data catalog that lists all the data assets in your organization. That helps you identify the most appropriate data for your projects. 

Collibra's metadata management feature lets you extract and transfer metadata from customer relationship management (CRM) and enterprise resource planning (ERP) systems. You can view data governance insights on charts, graphs, and heat maps and learn more about privacy and compliance when processing and managing data sets. 

Other Collibra features include support for a business glossary, data policy management, and compliance with GDPR, BCBS239, and other data governance frameworks. 

G2 Rating: 4.3 / 5
Key Features:

• Data governance, cataloging, privacy, and quality modules

• Metadata automation, policy enforcement, and lineage tracking

• Self-service access for data discovery and compliance

Pros:

• Comprehensive governance framework

• Enhances data quality and regulatory compliance

• Automates governance workflows

Cons:

• High implementation complexity and cost

• Less flexible customization scope

Pricing:

• Subscription-based, tiered by data volumes and deployment

• Estimates start around $20,000/year for small deployments, scaling to $150,000+/year for enterprise use

Read more: GDPR: All You Need To Know And Do

5. Alation Data Governance App

Alation Data Governance App is a companion tool for Alation Data Catalog. Launched in 2021, the tool helps you comply with data governance frameworks and improve the reliability and security of data sets. You can create data governance workflows without any coding or data engineering experience. 

So what makes Alation Data Governance App one of the best data governance tools? Its data stewardship feature automates data curation through AI and machine learning, helping you oversee and manage data sets and ensure data is safe and trusted. Other features include dashboards and metrics that provide high-quality insights into your data governance strategies.

G2 Rating: 4.6 / 5
Key Features:

• Search-driven, collaborative metadata interface

• Integrated dashboards, business glossary, and lineage visualization

• AI-powered suggestions and governance policy enforcement

Pros:

• User-friendly, wiki-like interface

• Strong metadata discovery and collaboration features

Cons:

• Backend setup and customization relatively complex

• Pricing not publicly available

Pricing:

• Quote-based, varies by organization size, features, and customization

6. Apache Atlas

Apache Atlas is one of the few open-source data governance tools on the market. Despite its open-source nature, Atlas' developers regularly update the tool with the latest security patches and features. While Atlas isn't as feature-heavy as the other data governance tools on this list, it allows you to perform basic governance tasks when using Hadoop clusters. That can help you identify the most appropriate data for Hadoop and guarantee its consistency and accuracy. 

Another Atlas feature is the ability to catalog and govern different data sets and automate data lineage. You can improve data masking and access control management by integrating the tool with Apache Ranger. 

G2 Rating: 4.5 / 5
Key Features:

• Open-source metadata management and governance

• Lineage mapping, data classification, ontology creation

• Metadata bridges, REST APIs, and data masking integration (with Ranger)

• Graph-based storage using JanusGraph, search via Solr

Pros:

• Robust lineage and governance toolkit

• Extensible, open-source framework supports big data ecosystems

Cons:

• Requires technical expertise to deploy and manage

• Resource-intensive; documentation gaps may slow setup

Pricing:

• Free open-source software, no licensing cost; internal TCO from infrastructure and staffing

7. erwin Data Intelligence

Data governance tools like erwin Data Intelligence can help you manage the integrity, quality, and security of data in your enterprise. Developed by Quest Software, erwin Data Intelligence offers different data catalog, data quality, and data literacy products that adhere to governance frameworks and let you create more effective internal data management workflows. 

One of the best things about erwin is its ability to create role-based views based on different users in your organization. You can view how these users manage and process data and ensure the right people have access to your most confidential and sensitive information. Another valuable feature is metadata harvesting and cataloging, letting you generate more value from your metadata assets. Then there are erwin's data profiling capabilities, which allow you to create data summaries that benefit your team. 

Other erwin data governance features include data flow mapping, data lineage documentation, and data quality assessments.

G2 Rating: 3.8 / 5
Key Features:

• Combines data catalog, data quality, literacy, and marketplace

• AI-powered data scoring, collaboration toolset, governance workflows

• Metadata management and discovery dashboards

Pros:

• Integrated, governance-centered platform with AI features

• Data marketplace aids asset discovery and trust scoring

Cons:

• High ownership cost; licensing and maintenance expensive

• Integration results depend on input metadata quality

• Customer support and consistency vary

Pricing:

• Enterprise pricing available via request; implementation typically costly

8. Oracle Enterprise Metadata Management

Oracle Enterprise Metadata Management (OEMM) is one of the top data governance tools for cataloging data. It creates data catalogs that help you identify data assets in your organization and remove the risks associated with processing and sharing sensitive data. You can catalog data from data warehouses, relational databases, business intelligence platforms, and Hadoop clusters in Oracle systems and third-party tools. 

Another feature of OEMM is enhanced data stewardship. You can tag metadata and add comments about data, making it easier to chronicle the information in your enterprise. A search feature lets you locate the metadata you need within seconds. You can also build business glossaries in a few simple steps.  

OEMM is also renowned for its smart algorithms that show you the journey of metadata as it moves through your systems. That gives you greater ownership and control over your metadata and helps you comply with data governance frameworks. You can also access dashboards and reports about your data management workflows and identify new opportunities for handling data. 

G2 Rating: 3.7 / 5
Key Features:

• Metadata harvesting from diverse systems (BI, ETL, modeling, Hadoop)

• Automated lineage and cataloging, query suggestions, 24/7 availability

• Seamless integration with Oracle stack

Pros:

• Great fit for Oracle-centric environments

• Enhances metadata accessibility and productivity with suggestions

Cons:

• Steep learning curve and occasional performance/connectivity issues

• UX and error messaging need improvement

Pricing:

• Enterprise-level pricing, licensing based on usage or component; available upon vendor inquiry

9. OneTrust Data Governance Cloud

OneTrust Data Governance Cloud is a data governance tool that lets you create policies that protect sensitive and confidential data in your enterprise. It classifies data to meet legislative requirements, helping you avoid expensive government fines for noncompliance.

One of OneTrust's best features is its management console, which lets you view your data governance workflows in a single location. Dashboards and reports help you identify potentially sensitive data that might result in data governance breaches. OneTrust can also encrypt and mask confidential data, providing peace of mind if your information ends up in the wrong hands. 

Other features include access controls, data portability, and data discovery for structured, unstructured, and semi-structured data sets.

G2 Rating: NA

Key Features

• Automated privacy and compliance assessments (PIAs, DPIAs, incident response)

• AI-powered data mapping, classification, and discovery across systems

• Centralized governance modules (consent, privacy, risk, AI governance, data use policies)

• Integrated dashboards, regulatory intelligence, and multilingual support

Pros

• Cloud-native platform with fast and straightforward deployment

• Clear data mapping and lineage visualization for compliance and incident tracking

• Strong collaboration capabilities across data, risk, and privacy teams

• Workflow automation with location- and purpose-based policy enforcement

Cons

• Modules can feel fragmented and loosely integrated

• Deployment and third-party integrations can be complex and time-consuming

• Reports of stability issues and occasional data loss during updates

• Support quality and configuration processes sometimes inconsistent

Pricing

• Pricing not publicly disclosed; offered on a quote-based model depending on modules and scale

• Offers a 14-day free trial for select modules

• Costs are typically usage-based (number of admins, data volume, regulatory scope)

• Considered expensive for enterprises, with discounts sometimes available for NGOs

10. SAP Master Data Governance 

SAP Master Data Governance can improve master data management by collecting master data from different systems and placing it in a centralized location. That lets you view your master data through a single pane of glass rather than relying on several systems. By using this platform, you can improve governance and ensure master data is available, uniform, and secure.  

SAP Master Data Governance is one of the top data governance tools because of its ease of use. Despite being feature-heavy, the tool doesn't require a steep learning curve, making it a good choice for smaller businesses that want to improve data governance and adhere to legislation when processing data. 

Other features include preformatted data models that standardize and organize data sets in your organization. You can also receive notifications about invalid data sets that might impact data management and analysis. 

G2 Rating

• 4.4 / 5 

Key Features

• Multi-domain support (customer, vendor, product, etc.), including match and merge, data modeling, and hierarchy management

• Workflow orchestration with approval processes, dashboards, rule-based validations, and lineage visualizations

• Data quality management offering profiling, cleansing, standardization, rule enforcement, and data consolidation

• Security and policy controls including access control, masking, policy enforcement, and reference data integration

Pros

• Provides a single source of truth with strong governance across master data domains

• Enhances data quality and accuracy via data validation, workflows, and approval mechanisms

• Offers deep integration with SAP ecosystems, streamlining setup and synchronization

• Scales effectively across large systems, supporting centralized and decentralized data workflows

Cons

• Complex implementation, often resource and time-intensive, especially in non-standard contexts

• Perceived as expensive, with high licensing, setup, and maintenance costs

• Steep learning curve, requiring skilled personnel for configuration and daily administration

• Users report integration challenges with non-SAP systems and that performance can lag during heavy use

Pricing

• Not publicly disclosed; available via custom quotes depending on deployment (cloud or on-premise), usage scale, and modules

• Available via free trial or demo upon request

• Pricing tends to follow enterprise licensing models, often bundled within broader SAP agreements

• Considered high-TCO, justified by many due to its governance robustness and enterprise-level integration

Read more: Protecting Personal Data: GDPR, CCPA, and the Role of ETL

11. Riskonnect

Riskonnect is a risk management software tool that lets you comply with internal and external data governance regulations. Primarily used for compliance, this platform helps you review data in your organization that might pose a security risk or breach data protection laws. You can analyze data on a single screen, making Riskonnect a useful tool for smaller businesses wanting to optimize data governance. 

One feature of Riskonnect is the ability to exchange information about data governance with auditors, compliance experts, and other professionals. By providing a single communication source, this platform can improve collaboration when it comes to fulfilling governance workflows. Use this platform to analyze any potential risks that might result in data breaches and jeopardize your organization's reputation. You can also centralize contracts and credentials on the system, making it easier to manage governance.

Other features of Riskonnect include risk notifications and manual process automation. 

G2 Rating: 4.0 / 5

Key Features

• Centralized enterprise risk management (operational, compliance, third-party)

• Claims & incident management with automation

• GRC & audit management for policies, compliance, and controls

• Business continuity & resilience planning with dashboards and workflows

Pros

• Single source of truth for risk data

• Highly configurable workflows

• Strong reporting, dashboards, and analytics

• Good customer support and onboarding

Cons

• High cost (six-figure annual contracts + implementation fees)

• Complex initial setup and configuration

• Performance can lag with large datasets

• Customization can be resource-intensive

Pricing

• Enterprise license ~ $283,000/year (estimates vary)

• Implementation ~ $142,000–$258,000+

• Additional fees for support and sandbox environments

• Pricing is quote-based, tailored to organization size and modules

Comparison of Top Data Governance Tools

Tool	Type/Category	Core Focus	Key Features	Connectors & Integrations	Deployment Options	Scalability	Ease of Use	Security & Compliance	Pricing Model	Ideal Users
Integrate.io	ETL/ELT iPaaS	Data integration & transformation	ETL/ELT pipelines, Reverse ETL, CDC, data warehouse integration, no-code UI	200+ connectors (databases, SaaS, cloud apps)	Cloud-native SaaS	High	Very easy, drag-and-drop	SOC 2, GDPR, HIPAA	Connector-based pricing	Data teams, mid-market orgs
Informatica	Data Management & Governance	Enterprise data integration & governance	Metadata mgmt, data quality, master data mgmt (MDM), catalog, AI/ML-powered CLAIRE engine	Very large library across enterprise systems	Cloud, hybrid, on-prem	Enterprise-grade	Moderate (steep learning curve)	GDPR, HIPAA, enterprise-grade security	Enterprise licensing	Large enterprises, regulated industries
IBM Watson Knowledge Catalog	Data Catalog & Governance	Metadata management, governance, AI-powered discovery	Automated data classification, lineage, data quality rules, business glossary	Integrates with IBM ecosystem + third-party	Cloud (IBM Cloud, hybrid)	High	Moderate	Strong, enterprise compliance	Subscription-based	Enterprises needing metadata & AI-driven catalog
Collibra	Data Intelligence Cloud	Enterprise data governance & catalog	Data catalog, lineage, policy mgmt, data stewardship workflows	Connectors to BI, cloud, data lakes	Cloud-first	Enterprise-grade	Moderate	GDPR, CCPA, HIPAA	Subscription	Data governance teams, compliance-heavy orgs
Alation Data Governance App	Data Catalog + Governance	Active data governance	Policy mgmt, stewardship, data usage monitoring, collaboration	Connectors for BI, SQL, cloud, metadata ingestion	Cloud & hybrid	High	Easy for business users	GDPR, SOC 2	Subscription	Mid-to-large orgs seeking business-user adoption
Apache Atlas	Open-source Metadata & Governance	Metadata management for Hadoop ecosystem	Data lineage, classification, governance for big data	Tight with Hadoop, Hive, HBase, Spark; extensible	On-prem, self-managed	Scales with Hadoop clusters	Technical, requires setup	Security via Apache Ranger integration	Open-source (free)	Data engineers, Hadoop-heavy environments
erwin Data Intelligence	Metadata Mgmt + Data Governance	Metadata catalog, lineage, governance	Automated metadata harvesting, data literacy tools, lineage diagrams	DB, ETL, BI, cloud integrations	Cloud & on-prem	High	Moderate	Enterprise-grade controls	Licensing/subscription	Enterprises needing lineage + literacy
Oracle Enterprise Metadata Management (OEMM)	Metadata Mgmt & Governance	Enterprise metadata + lineage	End-to-end metadata mgmt, impact analysis, BI integration	Oracle ecosystem + connectors	On-prem, Oracle Cloud	High	Moderate	Oracle security & compliance	Enterprise licensing	Oracle-centric enterprises
OneTrust Data Governance Cloud	Data Privacy & Governance	Privacy-first governance	Data catalog, policies, risk mgmt, data discovery for compliance	Connectors for SaaS, cloud, data stores	Cloud SaaS	High	Easy, compliance-focused	GDPR, CCPA, HIPAA, ISO	Subscription	Privacy/compliance-focused organizations
SAP Master Data Governance (MDG)	Master Data Mgmt + Governance	Master data quality & governance	Data modeling, validation, central governance for SAP domains	Native SAP + some third-party	SAP Cloud, on-prem	Enterprise-grade	Moderate	Enterprise security	Enterprise licensing	SAP customers with strong MDM needs
Riskonnect	Risk & Compliance Mgmt	Governance, Risk & Compliance (GRC)	Risk assessments, compliance workflows, reporting, vendor risk mgmt	Integrations with GRC & enterprise apps	Cloud SaaS	High	Easy for compliance teams	Regulatory frameworks (SOX, HIPAA, GDPR)	Subscription	Risk, audit, compliance teams

How Integrate.io Helps With Data Governance 

Integrate.io is a pioneer of the ETLG data integration process, helping you execute lightweight and high-speed data transformations that encrypt, mask, or remove confidential and sensitive data like PHI and PII. Integrate.io lets you facilitate ETLG without writing lots of code or building complex big data pipelines. That helps you adhere to data governance frameworks like GDPR, CCPA, and HIPAA without breaking a sweat. You can remove risk and liability when managing data and focus on other tasks in your business.

Here's how the ETLG process works:

• Integrate.io extracts data from a source such as a database, CRM system, or SaaS tool and places it into a staging area.
• Integrate.io then carries out lightweight data transformations on that data to encrypt or remove sensitive and confidential information, instantly improving data governance. The platform also formats the data for better data management. 
• Integrate.io loads the transformed data into a supported target destination, such as a data warehouse. 

If you require more complicated transformations at this stage, you can complete the rest of the data integration process in the target system.

Integrate.io is not only capable of ETLG but other data integration processes:

ETL

Integrate.io executes traditional ETL by extracting data from a source, transforming it into the correct format for analysis, and then loading it to a supported target system. The platform's low-code/no-code connectors let you carry out this process without lots of programming and data engineering experience. At this point, you can run data through BI tools like Tableau and Looker and generate incredible insights about your organizational workflows.

ELT

Integrate.io extracts data from a source, loads it to a target system, and transforms data into the correct format for analysis within that system. ELT is better suited than ETL for larger structured and unstructured data sets. 

Reverse ETL

Integrate.io's Reverse ETL capabilities help you move data from a target system to an operational system of record. (For example, you can transfer data from a data warehouse to Salesforce). That allows team members to analyze data sets in systems they are familiar with.

Change Data Capture (CDC)

Integrate.io is capable of performing super-fast CDC. This process monitors changes made to data within a database in real-time or near real-time. That helps you analyze database changes faster and get more value from data.

During most of these data integration processes, Integrate.io can remove inaccuracies and inconsistencies in data, helping you achieve your data governance objectives. 

As well as its data governance capabilities, Integrate.io is one of the best data management tools. By moving data to a supported target system, you can generate a single source of truth for all the data in your organization and remove data silos. 

Other Integrate.io features include:

• A powerful REST API
• Simple workflow creation
• Salesforce-to-Salesforce integrations
• World-class customer support

Integrate.io is one of the best data governance tools for moving data from disparate sources to a supported target location. Try Integrate.io with a 14-day trial, and learn more. After signing up for your trial, schedule your ETL trial meeting with a data integration expert.

FAQs

Q1: Which data governance tools are best for ensuring compliance and security in data integration?

• Integrate.io: Provides field-level encryption, audit logging, GDPR and HIPAA readiness, and secure role-based access controls for sensitive data.

• Collibra: Comprehensive governance platform with metadata management, data classification, and strict access policy enforcement.

• Informatica Axon: Enterprise-grade governance solution with compliance tracking, lineage, and robust security features.

Q2: What data governance tools offer advanced data transformation features?

• Integrate.io: Combines low-code ETL/ELT pipelines with powerful transformations and data quality features.

• Ataccama ONE: AI-driven governance platform with strong data profiling, cleansing, and enrichment tools.

• Talend (Enterprise Edition): Offers advanced data transformation, metadata management, and compliance features for large-scale enterprises.

Q3: What are the best data governance solutions for companies needing real-time data alerts?

• Integrate.io: Provides real-time monitoring, pipeline health tracking, and automated alerts for governance and compliance workflows.

• Monte Carlo: Specializes in real-time data observability, anomaly detection, and incident alerting for data quality issues.

• Confluent Stream Governance: Enables real-time monitoring, lineage, and policy enforcement in streaming data environments.

Q4: Can your data governance tool integrate with our existing data stack (e.g., Snowflake, Databricks, Salesforce)?

Yes. Most tools support connectors to common cloud data warehouses, BI tools, and SaaS platforms. Look for native integrations or API support.

Q5: Can data stewards and business users use the platform easily?

Good governance tools are designed for cross-functional usage, with interfaces tailored to data stewards, engineers, and compliance officers.