Compare Rolta OneView vs. Ivanti Xtraction

dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use. With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Denodo is a logical data management platform built to help enterprises unify, govern, and deliver trusted data across complex technology environments. It connects data from cloud, on-premises, SaaS, third-party, and multi-cloud systems without copying or duplicating the information. The platform gives organizations a single trusted view of distributed data, helping analytics teams, business users, and AI agents access current information more efficiently. Denodo supports trustworthy agentic AI by combining live data access with business semantics, centralized governance, compliance controls, and lineage. Its self-service data marketplace allows users to find, prepare, and use governed data while reducing dependence on IT teams. The platform also supports natural language search, personalized data delivery, and role-specific views so users can get data with the right business meaning. Denodo helps organizations improve data lakehouse investments by giving teams optimized access to data beyond a single repository. Its real-time delivery capabilities help operations, analytics, and AI systems make decisions based on current information instead of stale copies. By reducing integration time and improving time-to-insight, Denodo gives enterprises a trusted data foundation for AI, analytics, and digital transformation.

Propel is a modern, AI-powered cloud platform built for how manufacturers work today. It unifies Product Lifecycle Management (PLM), Quality Management System (QMS), and Product Information Management (PIM) into one intelligent system, giving teams a connected, always-accurate view of their products. With AI embedded across the platform through Propel One, manufacturers can automate routine work, surface insights faster, and make better decisions with confidence. AI continuously learns from product data to proactively flag risks, highlight trends, and guide next best actions across teams. Instead of relying on spreadsheets, siloed tools, and manual handoffs, teams manage product data, changes, and quality processes in a single governed environment with full traceability. Propel creates a true digital product record that spans design, development, manufacturing, commercialization, and continuous improvement. Built-in workflows standardize change management, streamline quality events, and support compliance without slowing teams down. Trusted by medical device, high tech, and industrial manufacturers, Propel helps organizations reduce errors, shorten cycle times, and improve collaboration across engineering, quality, operations, supply chain, and product teams. The result is faster launches, higher product quality, and a more resilient foundation for growth as products and processes become more complex. Propel has been recognized by Deloitte as a fast-growing technology company and named to the Inc. 5000 list of fastest-growing private companies, reflecting strong customer adoption and momentum helping manufacturers modernize how they build, manage, and deliver products. Designed to scale with growing products, teams, and regulatory demands.

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Log360 is a SIEM or security analytics solution that helps you combat threats on premises, in the cloud, or in a hybrid environment. It also helps organizations adhere to compliance mandates such as PCI DSS, HIPAA, GDPR and more. You can customize the solution to cater to your unique use cases and protect your sensitive data. With Log360, you can monitor and audit activities that occur in your Active Directory, network devices, employee workstations, file servers, databases, Microsoft 365 environment, cloud services and more. Log360 correlates log data from different devices to detect complex attack patterns and advanced persistent threats. The solution also comes with a machine learning based behavioral analytics that detects user and entity behavior anomalies, and couples them with a risk score. The security analytics are presented in the form of more than 1000 pre-defined, actionable reports. Log forensics can be performed to get to the root cause of a security challenge. The built-in incident management system allows you to automate the remediation response with intelligent workflows and integrations with popular ticketing tools.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Epicor Kinetic is a cloud-first, AI-powered ERP platform for manufacturing environments that require a connected system for transactional, operational, and reporting workflows. The platform supports finance, supply chain, production, inventory, quality, service, analytics, project management, governance and compliance, and global business management. Functional coverage includes planning and scheduling, materials management, shop floor coordination, product management, CRM, field service, electronic reporting, and enterprise content management. Kinetic provides browser-based access, role-based workflows, integration and extensibility tools, IIoT-related capabilities, and deployment options for cloud, on-premises, or hybrid architectures. It can integrate with listed third-party systems for payroll, tax, labeling, procurement, warehouse processes, data capture, and quality workflows, including ADP Workforce Now, Avalara, BarTender, Sage, SourceDay, and Sovos. Epicor Prism adds AI-supported automation and decision support for selected workflows. Kinetic also supports operations across the Americas, EMEA, and APAC and is available in multiple languages, which can matter for distributed manufacturing organizations with regional or multinational requirements.

ThriveSparrow, an employee experience platform for HR professionals, is a solution that focuses on the employee's perspective. ThriveSparrow aims to transform the workplace into a thriving eco-system where employee experience meets organization growth. What makes ThriveSparrow unique is its seamless integration of user experience, actionable insight, and holistic employee-engagement features. The engagement surveys module is at the core of ThriveSparrow. It offers a wide variety of customizable surveys including wellness and pulse surveys. These tools enable HR professionals to monitor employee engagement and satisfaction effectively. Kudos, its peer recognition module is more than just an employee recognition platform. It is an integrated system which correlates with performance metrics and offers a 360° view of each employee’s contributions. The heatmap of employee engagement scores and the actionable analytics dashboard are two other features that stand out.