Top 10 Alternatives to Data Quality Navigator Recently Reviewed By G2 Community
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As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
GTM Studio is ZoomInfo's AI-powered go-to-market canvas that unifies signals, systems, and teams in one intelligent workspace - enabling RevOps and marketing teams to launch proven plays, enrich data automatically, and activate sellers fast, with no engineering support and no ticket queues.
The biggest and fastest growing companies in the world rely on Demandbase to drive their ABM and ABX strategies and to maximize their go-to-market performance. With the Demandbase ABX Cloud, fueled by our Account Intelligence, you have one platform to connect your 1st and 3rd party data for one view of the account, making it easy for revenue teams to stay coordinated across the entire buying journey, from prospect to customer.
Making big data simple
Laserfiche is the leading SaaS provider of AI-powered document management and process automation. Through powerful workflows, electronic forms, document management and analytics, Laserfiche accelerates processes across the enterprise.
Egnyte delivers the only modern content platform that is purpose-built for businesses. Egnyte gives IT centralized control and protection over their files, and users fast access to their content, no matter how or where work happens.
Domo is an agentic platform for the intelligent enterprise that helps organizations build, manage, and distribute AI-powered solutions using governed business data. The platform brings together three core capabilities: a data foundation to connect and govern enterprise data, an activation layer to build AI agents, apps, workflows, and analytics, and a distribution layer to deliver intelligence where people work. Designed for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks, as well as other business systems and apps. Organizations use Domo to connect data from across their business, apply governance and security controls, build AI-powered solutions, and deliver insights through dashboards, embedded apps, mobile experiences, and AI assistants. Domo combines three core capabilities: data foundation, activation, and distribution: 1. The data foundation connects and governs enterprise data across cloud data platforms and business systems. 2. The activation layer enables teams to build AI agents, apps, workflows, automations, and analytics on top of governed data. 3. The distribution layer delivers intelligence where users work, including dashboards, embedded apps, mobile experiences, and AI assistants using Model Context Protocol (MCP). Governance, security, and access controls support all three layers to help organizations scale AI and data initiatives with trust. Common use cases for Domo include AI agents and apps, business intelligence, operational analytics, executive reporting, embedded analytics, AI-powered workflows, and custom data apps. The platform supports both technical teams and business users with low-code and pro-code development options for building and sharing AI-powered solutions across the enterprise.
Connect customer data, get actionable insights and drive customer actions. Planhat is a beautiful and intuitive Customer Success Software for SaaS.
Data 360 unlocks the full value of your data across the enterprise, powering your Customer 360 apps, Agentforce, and amplifying your existing data lake and warehouse investments to activate real-time insights and intelligent action.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.