Total Products under this Category: 214
Last updated: August 07, 2026
Why You Can Trust G2's Software Rankings:
G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.
Highlighted products: Databricks, Snowflake, Varonis Data Security Platform, AvePoint Confidence Platform, IBM watsonx.data, D&B Connect, Securiti, and IBM watsonx.governance.
Underlying data: [Grid® JSON](https://www.g2.com/categories/data-governance-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=snowflake&focus%5B%5D=varonis-data-security-platform&focus%5B%5D=avepoint-confidence-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=d-b-connect&focus%5B%5D=securiti&focus%5B%5D=ibm-watsonx-governance&segment=enterprise)
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Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Databricks is a software designed to help organizations build, govern, and scale data pipelines, analytics, machine learning, AI applications, and agents. The software provides data engineering, analytics, governance, and AI development capabilities by leveraging an open lakehouse architecture built on Apache Spark, Delta Lake, MLflow, and Unity Catalog. It automates batch, streaming, and real-time data pipeline management and reduces data silos across teams, clouds, and workloads. Databricks addresses enterprise data and AI challenges by unifying structured and unstructured data processing, model development, and governed AI agent creation in a single platform. The software supports use cases including customer personalization, fraud detection, predictive maintenance, financial risk management, and supply chain optimization across AWS, Azure, and Google Cloud.
Average Rating: 4.6/5.0
Total Reviews: 1,337
AI-generated summary from verified user reviews
"Reliable Platform for Building Scalable Data Pipelines"
Rating: 5.0/5.0 stars
— aravind k.
"Databricks Streamlines ETL and Analytics with Scalable Notebooks"
Rating: 5.0/5.0 stars
— Diana C.
Snowflake (NYSE: SNOW) is a software designed to make enterprise AI easy, efficient, and trusted for organizations of all sizes. The software provides data sharing, application development, and AI-powered analytics capabilities by leveraging a cloud-native AI Data Cloud architecture. It automates data access and sharing workflows and reduces friction in cross-organizational data collaboration. Snowflake addresses enterprise AI adoption challenges by providing a unified platform where companies can store, process, and activate data at scale. The software supports use cases including business intelligence, data application development, and AI-driven decision-making for thousands of companies worldwide.
Average Rating: 4.5/5.0
Total Reviews: 713
AI-generated summary from verified user reviews
"Elastic Scaling and Fast Analytics with Snowflake"
Rating: 4.5/5.0 stars
— Ravindra N.
"Snowflake Simplifies Data Management at Scale"
Rating: 4.0/5.0 stars
— Harshil A.
Varonis Data Security Platform is a software designed to secure AI systems and the enterprise data that powers them, giving organizations automated visibility and control over critical data wherever it lives. The software provides data exposure detection, access control, behavioral analytics, and managed detection and response capabilities by leveraging automated monitoring from code to runtime. It automates identification of overexposed data and excessive permissions and reduces incident response time through audit trails and real-time alerting. Varonis Data Security Platform addresses AI security and data governance challenges by continuously monitoring data access patterns and enforcing controls to stop AI-powered threats and insider risks. The software supports use cases including ransomware defense, data exfiltration prevention, regulatory compliance, and safe AI adoption for enterprise and mid-market organizations across financial services and retail.
Average Rating: 4.6/5.0
Total Reviews: 88
AI-generated summary from verified user reviews
"The best experience with Varonis Data Security Platform"
Rating: 5.0/5.0 stars
— Jean-Baptiste F.
"Varonis Saves Months of Compliance Work with Powerful Keyword Search and Helpful Support"
Rating: 4.5/5.0 stars
— Douglas W.
IBM watsonx.data is a software designed to help organizations access, integrate, and understand structured and unstructured data across any environment. The software provides workload optimization and consistent data governance capabilities by leveraging a hybrid, multi-environment data architecture that spans cloud and on-premises systems. It automates governance enforcement across data sources and formats and reduces cost inefficiencies through price-and-performance workload optimization. IBM watsonx.data addresses enterprise data complexity by unifying data access and management across teams and environments without requiring data migration. The software supports use cases including generative AI application development, AI agent creation, and governed analytics across diverse data sources.
Average Rating: 4.4/5.0
Total Reviews: 168
AI-generated summary from verified user reviews
"Flexible and Scalable Data Platform for Analytics and AI"
Rating: 5.0/5.0 stars
— Nishant V.
"Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"
Rating: 4.0/5.0 stars
— Aliasgar B.
AvePoint Confidence Platform is a software designed to unify data security, governance, and resilience to provide a trusted foundation for AI across enterprise cloud environments. The software provides lifecycle control, multicloud governance, rapid data recovery, and clear ownership management capabilities by leveraging integrations with Microsoft, Google, Salesforce, and other leading cloud platforms. It automates data protection and governance workflows and reduces overexposure, sprawl, and data loss through centralized policy enforcement and backup management. AvePoint Confidence Platform addresses the challenge of fragmented and legacy data environments by modernizing data governance and enabling rapid recovery through a single pane of glass. The software supports use cases including backup and restore, multicloud governance, AI readiness, and data loss prevention for more than 28,000 customers through a global ecosystem of approximately 6,000 MSPs, VARs, and SIs.
Average Rating: 4.5/5.0
Total Reviews: 122
AI-generated summary from verified user reviews
"Centralized Backups & Governance for Microsoft 365 that any Service Provider should look into."
Rating: 5.0/5.0 stars
— Frank M.
"Governance Automation and Opus Reporting Keep Our Environment Compliant and Optimized"
Rating: 4.5/5.0 stars
— Scott K.
Securiti is a software designed to enable the safe and governed use of data and generative AI through a centralized DataAI Command Center. The software provides unified data intelligence, security controls, and orchestration capabilities by leveraging a hybrid multicloud architecture that spans on-premises and cloud environments. It automates data security and privacy workflows and reduces compliance risk through integrated governance and policy enforcement across all data sources. Securiti addresses enterprise data trust challenges by centralizing visibility and control over data assets used to power AI, ensuring that data usage remains compliant with internal policies and external regulations. The software supports use cases including data security, privacy management, AI governance, and regulatory compliance for large global enterprises across computer software and retail industries.
Average Rating: 4.6/5.0
Total Reviews: 104
AI-generated summary from verified user reviews
"Securiti.ai Delivers a True Control Center for Privacy, Governance & AI Risk"
Rating: 5.0/5.0 stars
— Chahat Raj K.
"Powerful Data Privacy Management with Some Initial Hurdles"
Rating: 4.5/5.0 stars
— Yousef M.
D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B Connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall data health. Integrations with Master Data Management Platforms, Customer Data Platforms, and CRMs enable automated data updates and anomaly detection through the identity resolution engine. MAP integrations allow for the automation of cross-channel marketing tasks on social media, email, and websites.
Average Rating: 4.1/5.0
Total Reviews: 131
AI-generated summary from verified user reviews
"Flexibility to enable data governance and improve data quality for the business"
Rating: 5.0/5.0 stars
— Avijit S.
"Seamless CRM Integration with Robust Data Enrichment"
Rating: 4.5/5.0 stars
— Ramy A.
IBM watsonx.governance is a software designed to provide end-to-end, platform-agnostic AI governance for traditional ML, generative AI, and agentic AI across the full lifecycle. The software provides observability, policy enforcement, and compliance management capabilities by leveraging automated telemetry, reasoning trace capture, and integrated risk assessment frameworks. It automates agent behavior monitoring and compliance evaluation and reduces risk through continuous in-the-loop policy enforcement with automated block, route, and fallback controls. IBM watsonx.governance addresses AI trust and regulatory challenges by governing AI regardless of where it is built or deployed, spanning IBM Cloud, AWS, Azure, Oracle Cloud, on-premises, and hybrid environments. The software supports use cases including AI agent auditing, regulatory compliance, risk management, and responsible AI adoption across enterprise and public sector organizations.
Average Rating: 4.3/5.0
Total Reviews: 73
AI-generated summary from verified user reviews
"Strong AI Governance Across the Full Lifecycle with Clear Visibility and Control"
Rating: 5.0/5.0 stars
— Mansi S.
"Enterprise AI Governance with Strong IBM Integration and Compliance Focus"
Rating: 4.5/5.0 stars
— Ricardo M.
Domo is a software designed to help organizations turn data into actionable insights and tailored data-driven solutions. The software provides data connection, preparation, dynamic reporting, and visualization capabilities by leveraging built-in AI and automation within a single unified interface. It automates workflows and AI agent deployment and reduces the complexity of managing multiple disconnected data tools. Domo addresses business intelligence challenges by enabling both technical and non-technical users to connect diverse data sources and generate insights without requiring separate tooling. The software supports use cases including custom reporting, workflow automation, and AI agent creation for teams across mid-market and enterprise organizations.
Average Rating: 4.3/5.0
Total Reviews: 1,065
AI-generated summary from verified user reviews
"Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"
Rating: 5.0/5.0 stars
— Renee G.
"Fast, Reliable Dashboarding with Quick Data Connections in Domo"
Rating: 4.5/5.0 stars
— Katie S.
Egnyte is a software designed to help organizations manage content, secure data, and automate business processes through a single intelligent platform. The software provides cloud content management, data security, and AI-powered content intelligence capabilities by leveraging a unified architecture that combines governance and automation. It automates business workflows and reduces risk around critical data through integrated security controls and content intelligence. Egnyte addresses challenges around employee productivity and data protection by centralizing content management and enforcing data governance policies across the organization. The software supports use cases in architecture, engineering and construction, life sciences, and financial services, serving more than 22,000 customers worldwide.
Average Rating: 4.4/5.0
Total Reviews: 1,137
AI-generated summary from verified user reviews
"Easy way to manage, Share and secure files With team collaboration"
Rating: 5.0/5.0 stars
— Ishan S.
"Secure, Powerful AI Collaboration with Outstanding Workflow Management"
Rating: 4.5/5.0 stars
— Konjengbam M.
Atlan è il livello di contesto per l'AI aziendale. Legge continuamente i tuoi magazzini, database, pipeline, strumenti BI e sistemi aziendali per costruire al contrario un grafo di dati aziendali che cattura asset, lineage, entità, metriche, politiche e relazioni. Su questo grafo, arricchisce e cura semantiche leggibili dalle macchine — descrizioni, join popolari, definizioni di KPI e metriche, ontologie e regole aziendali — e le organizza in repository di contesto governati e versionati: pacchetti delimitati di contesto che riflettono come la tua azienda definisce concetti chiave e prende decisioni. Questi repository di contesto sono poi esposti attraverso interfacce aperte (SQL, API, SDK, protocolli stile OSI/MCP) in modo che agenti, copiloti e applicazioni AI possano chiamare lo stesso contesto fidato in tempo reale, piuttosto che ogni team codifichi la propria logica. I flussi di lavoro di governance human-on-the-loop per la risoluzione dei conflitti, la deprecazione, il feedback e la certificazione mantengono quel contesto affidabile mentre l'azienda, i dati e i modelli evolvono.
Average Rating: 4.5/5.0
Total Reviews: 134
AI-generated summary from verified user reviews
"Design visivo, collaborazione e supporto clienti eccezionale"
Rating: 4.5/5.0 stars
— Utente verificato in Trasporti/Autotrasporti/Ferroviario
Rating: 4.5/5.0 stars
— Keith G.
Ilum: Una Piattaforma Dati Creata da Ingegneri Dati, per Ingegneri Dati Ilum è una piattaforma Data Lakehouse che unifica la gestione dei dati, l'elaborazione distribuita, l'analisi e i flussi di lavoro AI per ingegneri AI, ingegneri dati, data scientist e analisti. Appartiene alle categorie di software Piattaforma Dati, Data Lakehouse e Ingegneria Dati e supporta un'implementazione flessibile su cloud, on-premise e ambienti ibridi. Ilum consente ai team tecnici di costruire, operare e scalare infrastrutture dati moderne utilizzando standard aperti. Integra strumenti per l'elaborazione batch, l'elaborazione in streaming, l'esplorazione basata su notebook, l'orchestrazione dei flussi di lavoro e l'intelligenza aziendale, tutto in un'unica piattaforma. Ilum supporta formati di tabelle aperti moderni come Delta Lake, Apache Iceberg, Apache Hudi e Apache Paimon. Offre anche un'integrazione nativa con Apache Spark e Trino per il calcolo, con il supporto per Apache Flink attualmente in sviluppo. Caratteristiche principali includono: - Editor SQL: Interroga Delta, Iceberg, Hudi o Spark SQL con completamento automatico, anteprime dei risultati e ispezione dei metadati. - Lineage & Catalogo Dati: Visualizza il flusso dei dati utilizzando OpenLineage ed esplora i dataset attraverso un catalogo dati ricercabile. - Integrazione Notebook: Usa notebook Jupyter integrati preconfigurati per Spark, metadati e il tuo ambiente dati per esplorazione o modellazione. - Gestione Job Spark: Invia, monitora e esegui il debug dei job Spark con log integrati, metriche, pianificazione e un server di cronologia Spark integrato. - Supporto Trino: Esegui query federate su più fonti di dati utilizzando Trino direttamente all'interno di Ilum. - Pipeline Dichiarative: Definisci pipeline ETL e di analisi ripetibili, con tracciamento delle dipendenze e logica di recupero. - Diagrammi ERD Automatici: Genera istantaneamente diagrammi ER da schemi per aiutare nella comprensione e onboarding dei dati. - Sperimentazione & Tracciamento ML: Include MLflow per gestire esperimenti, tracciare parametri, metriche e artefatti, completamente integrato con notebook e pipeline dati per semplificare i flussi di lavoro di sviluppo dei modelli. - Integrazione & Distribuzione AI: Supporta sia casi d'uso ML classici che AI moderni, inclusi flussi di lavoro GenAI, ricerca vettoriale e applicazioni basate su embedding. I modelli possono essere registrati, versionati e distribuiti per inferenza all'interno di pipeline dichiarative. - Interfaccia Agente AI Integrata: Ilum integra, fornendo un'interfaccia in stile GPT per interagire con i tuoi dati, attivare pipeline, generare SQL o esplorare metadati usando il linguaggio naturale, portando le capacità GenAI direttamente nella tua piattaforma dati. - Dashboard BI: Supporto nativo per Apache Superset, con integrazione JDBC per Tableau, Power BI e altri strumenti BI. Ulteriori punti salienti: - Gestione Multi-Cluster: Connetti più cluster Spark o Kubernetes per scalare e isolare i carichi di lavoro. - Controllo Accesso Granulare: Integrazione LDAP, OAuth2 e Hydra per un accesso sicuro basato su ruoli. - Pronto per l'Ibrido: Progettato per sostituire Databricks o Cloudera in ambienti dove l'adozione del cloud è parziale, regolamentata o non possibile.
Average Rating: 4.9/5.0
Total Reviews: 23
AI-generated summary from verified user reviews
"Da Hadoop a K8s con un TCO inferiore"
Rating: 5.0/5.0 stars
— Mark D.
"Integrazione senza soluzione di continuità e funzionalità unificate per utenti avanzati"
Rating: 5.0/5.0 stars
— Jan L.
Salesforce Data 360 (formerly Data Cloud) is a software designed to unlock the full value of enterprise data by powering Customer 360 apps, Agentforce, and real-time intelligent action across an organization. The software provides structured and unstructured data unification, real-time insight generation, and low-code data activation capabilities by leveraging a Zero Copy architecture and deep partnerships with Amazon, Snowflake, Databricks, and Google. It automates data bridging across lakes, warehouses, and business applications and reduces the need to replace or re-platform existing data investments. Salesforce Data 360 addresses enterprise data fragmentation by acting as a smart integration layer that complements current systems while activating data seamlessly within the Salesforce ecosystem. The software supports use cases including customer personalization, AI agent enablement, and cross-platform data activation for mid-market and enterprise organizations.
Average Rating: 4.3/5.0
Total Reviews: 306
AI-generated summary from verified user reviews
"Salesforce Data 360: Seamless Data Unification with Real-Time Insights"
Rating: 4.5/5.0 stars
— Vedarth K.
"Unified, Real-Time Customer Profiles with Powerful Salesforce Integration"
Rating: 4.5/5.0 stars
— Chirag C.
Fondata in Francia e in rapida espansione in tutta Europa e negli Stati Uniti, DataGalaxy è fidata da oltre 200 imprese globali, tra cui Dior, Airbus e SwissLife. L'azienda è impegnata a promuovere la cultura e l'alfabetizzazione dei dati aiutando le organizzazioni a fornire metadati agli agenti e valore alle persone. La piattaforma sottolinea l'importanza dei metadati, garantendo che tutte le parti interessate abbiano accesso al contesto e alle informazioni necessarie per prendere decisioni informate. La piattaforma presenta due prodotti principali: DataGalaxy Catalog e DataGalaxy Portfolio. DataGalaxy Catalog funge da repository completo di metadati, fornendo agli utenti il contesto necessario per costruire fiducia nei loro asset di dati garantendo al contempo la conformità con le normative pertinenti. Questo hub centralizzato consente alle organizzazioni di gestire i propri metadati in modo efficiente, facilitando per i team la ricerca, la comprensione e l'utilizzo dei dati per iniziative strategiche. D'altra parte, DataGalaxy Portfolio agisce come uno strumento di gestione del valore che traccia l'impatto del ROI delle iniziative di dati e AI sulle prestazioni aziendali. Consente alle organizzazioni di tracciare e dimostrare il valore creato dai loro investimenti in dati, promuovendo l'allineamento dai dirigenti di livello C fino agli stakeholder aziendali. Visualizzando i risultati dei progetti basati sui dati, DataGalaxy Portfolio aiuta le organizzazioni a dare priorità ai loro sforzi e ad allocare le risorse in modo efficace, garantendo che le iniziative sui dati siano allineate con gli obiettivi aziendali. Rivolta alle imprese che cercano di migliorare le loro pratiche di governance e gestione dei dati, DataGalaxy è particolarmente vantaggiosa per le organizzazioni che operano in ambienti complessi dove i dati sono abbondanti ma sottoutilizzati. Integrando la governance dei dati con la strategia aziendale, DataGalaxy si distingue nella sua categoria come una soluzione che non solo affronta gli aspetti tecnici della gestione dei dati, ma sottolinea anche l'elemento umano dell'utilizzo dei dati. Questo approccio olistico garantisce che le organizzazioni possano massimizzare il valore dei loro asset di dati promuovendo la collaborazione tra i team, portando infine a migliori risultati aziendali.
Average Rating: 4.8/5.0
Total Reviews: 63
AI-generated summary from verified user reviews
"Uno strumento completo e accessibile per rafforzare la governance e la fiducia nei dati"
Rating: 5.0/5.0 stars
— Jean C.
Rating: 5.0/5.0 stars
— Maurice L.
SAP Master Data Governance (MDG) is a software designed to facilitate the centralized or decentralized management of master data across an enterprise system landscape. The software provides data validation, quality checks, and governance framework capabilities by leveraging tight integration with existing SAP data models, business logic, and validation frameworks. It automates master data creation, modification, and distribution workflows and reduces data redundancy and errors through standardized quality controls. SAP Master Data Governance (MDG) addresses data consistency and compliance challenges by providing a unified view of customer, vendor, and product data while supporting open integration with third-party systems. The software supports use cases including master data consolidation, regulatory compliance, and cross-departmental data governance for industries such as finance, manufacturing, and retail.
Average Rating: 4.4/5.0
Total Reviews: 242
AI-generated summary from verified user reviews
"Effortless Master Data Management, Some Integration Hurdles"
Rating: 4.5/5.0 stars
— Ben B.
"Streamlined Workflow with Customizable Controls, But Lacks Industry-Specific Integration"
Rating: 4.0/5.0 stars
— xin l.