HPE Ezmeral Data Fabric vs. Microsoft Azure Comparison


HPE Ezmeral Data Fabric Hewlett Packard Enterprise	Microsoft Azure Microsoft	+	+
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The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance. 387 Ratings Visit Website Teradata VantageCloud Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. 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Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. 61,049 Ratings Visit Website DataBuck DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. 2,027 Ratings Visit Website SCIKIQ SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE. SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform. Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace. Contextual Intelligence at the Core SCIKIQ goes beyond connecting data by helping AI understand the business context behind it. Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI. Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control. AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents. Why Enterprises Choose SCIKIQ AI-ready in 3–6 weeks \| 200+ connectors \| 99.9% availability \| No-code \| Multi-cloud \| No vendor lock-in \| No replatforming SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises. 14 Ratings Visit Website TIMi The most efficient, sovereign & unified "on-premise" data platform available today. Think about the Azure data platform, but on steroids and 100% Sovereign. TIMi is an ethical solution: Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in Fair price & No hidden fees & No price hikes TIMi is a leader in these fields: Data Preparation/ETL/BPA/BPM/ESB - automate the most complex tasks without code - Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc. BigData - 1 TIMi-server is faster than 267 Spark-servers - Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server. - manage peta-byte Data Lakes AI/ML: We invented the 1st Auto-ML tool in 2007 TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov. Also available in EU-hosted sovereign cloud. 68 Ratings Visit Website Stonebranch Universal Automation Center (UAC) is a real-time IT automation platform designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud. Universal Automation Center (UAC) is a software platform designed to automate and orchestrate your IT and business processes, securely manage file transfers, and centralize the management of disparate IT job scheduling and workload automation solutions. With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. Real-time hybrid IT automation and managed file transfers (MFT) for any type of cloud, mainframe, distributed or hybrid environment. Start automating, managing and orchestrating file transfers from mainframe or disparate systems to the AWS or Azure cloud and vice versa with no ramp-up time or cost-intensive hardware investments. 183 Ratings Visit Website AnalyticsCreator AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. 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About Access HPE Ezmeral Data Fabric Software as a fully managed service. Register now for a 300GB instance to try out the latest features and capabilities. Increasingly enterprise data is being distributed across a growing number of locations while at the same time, the demand for insights continues to grow as users expect richer, high-quality data insights. Hybrid cloud solutions offer the best outcomes in terms of cost, data placement, workload control, and user experience. The upside of hybrid is the ability to better match applications with the appropriate services across the application lifecycle. The downside of hybrid is that it adds a new dimension of complexity such as limited data visibility, the need to use multiple analytic formats, and the potential for organizational risk and increased costs.	About Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies in need of a fully managed service to achieve data visibility, availability, and federation in a hybrid, multi-cloud world	Audience Organizations of all sizes that are looking to realize cost savings whether they’re migrating their first workload or fine-tuning complex deployments
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 4.2 / 5 ease 4.5 / 5 features 4.5 / 5 design 4.3 / 5 support 4.5 / 5 Read all reviews
	Pros & Cons from Real Users Pros Azure Hybrid Services provide a smooth transition between cloud infrastructure and on-premises data centers. As a result, businesses may create hybrid solutions for application deployment, data storage, and backup. As my company has started its cloud journey, Microsoft has been at the forefront of a number of our initiatives. It has a very large and integrated ecosystem that allows us to bolt on what is needed when it is needed with relative ease. I like Azure since they offer a lot of available locations that other cloud providers don't. It delivers features needed for microservices that are available and very easy to integrate. The same applications can be developed and deployed seamlessly. Azure offers competitive rates for its services, making it an affordable option for businesses of all sizes. This application in conjunction with Visual Studio is mwwwah just amazing. As a coder I can do everything I need with this software. Cons Effective usage of Azure virtual machines may need some understanding, particularly for those who are unfamiliar with cloud architecture. Users may need some time to become accustomed to Azure's extensive variety of services and customizations. The one thing that you must be careful about is your cost. While things are easy to implement, costs can also easily ramp up if not kept in check. There is room for improvement in Azure's Cognitive Services, including using the most common templates. The cost of such an efficient cloud infrastructure could be a little higher, but that is the price you pay for such excellent services. There are many things that people do not like about Microsoft Azure. One of the main complaints is that the platform can be quite expensive. Additionally, there have been complaints about the reliability of the platform and its overall complexity. Nothing this software is amazing! Anyone who is a dev please use.
Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information Hewlett Packard Enterprise Founded: 2009 United States www.mapr.com	Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/
Alternatives Talend Data Fabric Qlik	Alternatives Google Cloud Platform Google
Paxata	Amazon Web Services (AWS) Amazon
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Categories Big Data Supported	Categories AI Agent Infrastructure Supported AI Cloud Providers Supported Application Development Supported Artificial Intelligence Supported Big Data Supported Block Storage Supported Cloud Hosting Supported Cloud Management Supported Cloud Service Providers Supported Cloud Storage Supported Hybrid Cloud Supported Hybrid Cloud Storage Supported Infrastructure-as-a-Service (IaaS) Supported Object Storage Supported Platform as a Service (PaaS) Supported Web Hosting Supported
	Show More Features Cloud Storage Features Access Control Supported Archiving & Retention Supported Backup Supported Data Migration Not Supported Data Synchronization Not Supported Encryption Not Supported File Sharing Not Supported Version Control Supported Infrastructure-as-a-Service (IaaS) Features Analytics / Reporting Supported Configuration Management Supported Data Migration Supported Data Security Supported Load Balancing Supported Log Access Supported Network Monitoring Supported Performance Monitoring Supported SLA Monitoring Supported
Integrations Ataccama ONE Supported Cognixia Supported Decision Moments Supported IRI DarkShield Supported IRI FieldShield Supported IRI Voracity Supported Starburst Enterprise Supported Arches AI Not Supported Azure Automanage Not Supported CloudSwyft Not Supported Easy2Meet Not Supported HoneyHive Not Supported Innomate Not Supported Koop Not Supported Microsoft Defender External ASM Not Supported Overcast Not Supported PerfectLO Not Supported Productioneer Not Supported Zeeto Not Supported Zefort Not Supported Show More Integrations View All 15 Integrations	Integrations Ataccama ONE Supported Cognixia Supported Decision Moments Supported IRI DarkShield Supported IRI FieldShield Supported IRI Voracity Supported Starburst Enterprise Supported Arches AI Supported Azure Automanage Supported CloudSwyft Supported Easy2Meet Supported HoneyHive Supported Innomate Supported Koop Supported Microsoft Defender External ASM Supported Overcast Supported PerfectLO Supported Productioneer Supported Zeeto Supported Zefort Supported Show More Integrations View All 2781 Integrations
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