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.
Making big data simple
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.
HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).
SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business. Join the generative integration movement at snaplogic.com.
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
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.
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
The best alternatives to SAS Data Management, according to G2 user reviews, include Snowflake (4.5/5 stars, 755 reviews), Databricks (4.6/5 stars, 803 reviews), and Alteryx (4.6/5 stars, 816 reviews). Other highly rated alternatives are Amazon Redshift (4.3/5 stars, 402 reviews), Domo (4.3/5 stars, 1005 reviews), HubSpot Data Hub (4.5/5 stars, 576 reviews), SnapLogic (4.4/5 stars, 398 reviews), Tableau (4.4/5 stars, 3658 reviews), Demandbase One (4.4/5 stars, 1953 reviews), and Google Cloud BigQuery (4.5/5 stars, 1227 reviews).
Alternatives to SAS Data Management offer features such as AI-powered integration assistance, real-time data streaming, low-code/no-code visual pipeline building, extensive pre-built connectors, collaborative notebooks for data science and engineering, advanced machine learning integration, and unified platforms combining data engineering, analytics, and AI capabilities. These features enhance ease of use, scalability, automation, and collaboration beyond what SAS Data Management provides.
Reviewers recommend Snowflake for its ease of use, scalability, and AI integration that simplifies data management and sharing. Databricks is favored for its unified platform combining data engineering, analytics, and machine learning with collaborative notebooks and Delta Lake for data reliability. Alteryx is praised for its intuitive drag-and-drop interface enabling complex data workflows with minimal coding, suitable for non-technical users. Amazon Redshift is recommended for fast, scalable cloud data warehousing tightly integrated with AWS services. Domo stands out for its all-in-one cloud platform combining data integration, AI-powered insights, and customizable visualizations. HubSpot Data Hub is valued for centralizing customer data with easy-to-use sync and automation features. SnapLogic is noted for its AI-led, low-code integration platform with extensive pre-built connectors and real-time processing. Tableau is highly recommended for powerful, interactive data visualization and dashboarding with a user-friendly drag-and-drop interface. Demandbase One is preferred for account-based marketing with strong intent data and sales-marketing alignment. Google Cloud BigQuery is favored for its serverless architecture, fast SQL querying on massive datasets, and seamless integration with Google Cloud services.
According to G2 data, SAS Data Management holds an average rating of 4.1/5 from 100 reviews, while Snowflake leads with a 4.5/5 rating across 755 reviews, indicating stronger overall user satisfaction for Snowflake. In dimension scores, Snowflake outperforms SAS Data Management by 0.7 points in Meeting Requirements (9.1 vs 8.4), 1.7 points in Usability (9.0 vs 7.3), 0.5 points in Ease of Setup (9.0 vs 8.5), 0.4 points in Ease of Admin (8.7 vs 8.3), 0.8 points in Support (8.7 vs 7.9), and 0.9 points in Ease of Doing Business (9.0 vs 8.1). User reviews highlight that SAS Data Management is praised for ease of use (12 mentions), analytics, and data quality features, but criticized for high cost (7 mentions), slow performance with large datasets, and a steep learning curve. Conversely, Snowflake is highly regarded for ease of use (183 mentions), scalability (99 mentions), performance (90 mentions), and integration capabilities (88 mentions), though cost is a frequent concern (91 mentions) along with a learning curve for advanced features. Snowflake’s architecture separating compute and storage enables independent scaling, enhancing performance and cost efficiency. Overall, Snowflake provides a more scalable, performant, and user-friendly platform with broader integration and stronger support, while SAS Data Management is valued for its data quality and management capabilities but is limited by cost and performance issues on large datasets.
Users choose Snowflake over SAS Data Management primarily for its superior scalability, performance, and ease of use. Snowflake’s cloud-native architecture with separation of compute and storage allows independent scaling, which users find critical for handling large and variable workloads efficiently. With 99 mentions of scalability and 90 mentions of performance, Snowflake consistently delivers fast query execution and smooth handling of large datasets without manual infrastructure management. Snowflake also excels in integration, with 88 mentions, supporting seamless connectivity to modern BI and ETL tools, which streamlines workflows and boosts productivity. Its user-friendly interface and straightforward SQL-based querying contribute to a lower barrier to entry, reflected in 183 mentions of ease of use. Additionally, Snowflake’s features like secure data sharing, time travel, and zero-copy cloning enhance collaboration and data management efficiency. While cost is noted as a challenge (91 mentions), users appreciate Snowflake’s pay-as-you-go model and auto-scaling capabilities that can optimize expenses when managed properly. The platform’s strong support and continuous innovation in AI and analytics features further attract users seeking a comprehensive, scalable, and high-performance data platform, making Snowflake the preferred choice over SAS Data Management.