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.
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UTunnel Secure Access delivers Cloud VPN, ZTNA, and Mesh Networking solutions to ensure secure remote access and smooth network connectivity.
ACCESS GATEWAY: Our Cloud VPN as a Service enables quick deployment of Cloud or On-Premise VPN servers. Utilizing OpenVPN and IPSec protocols, it facilitates secure remote connections with policy-based access control, allowing you to easily establish a VPN network for your business.
ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) solution transforms secure access to internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can access these applications through web browsers without needing client software.
MESHCONNECT: This Zero Trust Network Access (ZTNA) and mesh networking solution provides granular access controls to specific business network resources and supports the creation of secure interconnected business networks.
SITE-TO-SITE VPN: The Access Gateway solution also allows for the setup of secure IPSec Site-to-Site tunnels. These tunnels can connect UTunnel's VPN servers with other network gateways, firewalls, routers, and unified threat management (UTM) systems.
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Qlik Data Integration
The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.
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Lentiq
Lentiq offers a collaborative data lake as a service that empowers small teams to achieve significant results. It allows users to swiftly execute data science, machine learning, and data analysis within the cloud platform of their choice. With Lentiq, teams can seamlessly ingest data in real time, process and clean it, and share their findings effortlessly. This platform also facilitates the building, training, and internal sharing of models, enabling data teams to collaborate freely and innovate without limitations. Data lakes serve as versatile storage and processing environments, equipped with machine learning, ETL, and schema-on-read querying features, among others. If you’re delving into the realm of data science, a data lake is essential for your success. In today’s landscape, characterized by the Post-Hadoop era, large centralized data lakes have become outdated. Instead, Lentiq introduces data pools—interconnected mini-data lakes across multiple clouds—that work harmoniously to provide a secure, stable, and efficient environment for data science endeavors. This innovative approach enhances the overall agility and effectiveness of data-driven projects.
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