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Teradata VantageCloudTeradata VantageCloud: The Complete Cloud Analytics and AI Platform VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward. VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve. By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.
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DbVisualizerDbVisualizer is a universal database management solution that helps organizations of all sizes work efficiently with relational and NoSQL databases. Built for developers, DBAs, analysts, and data engineers, it scales from startups to teams managing complex environments. The platform combines a SQL editor with autocomplete, visual query builders, and execution tools for database development and querying. An AI Assistant resolves errors and explains code, while built-in Git integration supports version control and collaboration. Teams can customize layouts, key bindings, and UI themes, mark frequent scripts and objects as favorites, and apply configurable security settings to meet compliance requirements. DbVisualizer connects to major databases including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery, and runs on Windows, macOS, and Linux. With nearly 7 million downloads and Pro users in 150 countries, it's a proven fit for businesses of any size.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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StackAIStackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment. Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected. AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more. Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production. StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs. A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires. By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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FinOpslyFinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.
What is Rocket Data Virtualization?
When data is spread across mainframes, on-prem systems, and cloud platforms, teams waste time reconciling numbers and waiting on complex integrations or migrations. Moving large datasets is costly and risky, and delays access to the information leaders need to make timely decisions.
Rocket® Data Virtualization™ is a data virtualization and federated query solution for hybrid enterprises. It provides a governed, unified view of data across mainframe, distributed, and cloud sources—so users and applications can access and combine information in real time without copying or physically moving data.
Key capabilities:
• Unified virtual data layer (single logical view) across sources
• Federated queries for BI/analytics and operational reporting
• Centralized governance and security controls
• Exposing legacy data to cloud apps via standard interfaces
Results: faster time to insight, lower integration costs, and reduced migration risk.
What is Hammerspace?
Hammerspace is an innovative storage solution that unlocks the vast amounts of fast local NVMe storage inside GPU servers, turning what was previously stranded capacity into a new ultra-fast storage tier that accelerates AI training and checkpointing. Designed to overcome the limitations of expensive and complex legacy storage systems, Hammerspace enables consistently high GPU utilization by providing low-latency, parallel access to data across thousands of servers simultaneously. The platform’s global data architecture is built on standard NFS protocols, eliminating the need for proprietary clients and simplifying integration with existing Linux storage servers and hybrid cloud environments. By orchestrating data movement between on-premises and cloud infrastructure, Hammerspace supports flexible AI workflows that maximize resource usage and minimize power consumption. Hammerspace has been proven through MLPerf benchmarks to deliver scalable, linear performance gains, dramatically speeding up checkpointing times by 10 to 100 times. Trusted by industry leaders like Meta and Los Alamos National Laboratory, it helps reduce external storage costs, power usage, and rack space requirements. The platform’s intuitive interface and rapid deployment allow organizations to bring petabytes of capacity online within days and start accelerating AI workloads immediately. Its hyperscale NAS architecture ensures consistent throughput and low latency at scale, critical for large machine learning projects. By transforming idle GPU server storage into a shared, protected resource, Hammerspace redefines cost efficiency and performance in AI infrastructure. This technology empowers data-driven organizations to innovate faster, reduce their energy footprint, and optimize their AI investment returns.
Integrations Supported
Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Cloud
Microsoft Azure
Integrations Supported
Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Cloud
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Rocket Software
Date Founded
1990
Company Location
United States
Company Website
www.rocketsoftware.com/product-categories/data-virtualization
Company Facts
Organization Name
Hammerspace
Date Founded
2018
Company Location
United States
Company Website
hammerspace.com
Categories and Features
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Disaster Recovery
Administration Policies
Bare-Metal Recovery
Encryption
Failover Testing
Flexible Data Capture
Multi-Platform Support
Multiple Data Type Support
Offline Storage