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What is Hologres?
Hologres is a versatile cloud-based system that combines serving and analytical processing to seamlessly integrate with the big data ecosystem. It allows users to efficiently analyze and manage vast amounts of data, reaching petabyte scale with impressive concurrency and low latency. By utilizing Hologres, businesses can employ their intelligence tools for multidimensional data analysis, gaining real-time insights into their operations. The platform effectively mitigates challenges often encountered by conventional real-time data warehousing solutions, such as data silos and redundancy issues. It not only caters to the requirements of data migration but also enables the real-time analysis of large data volumes. Remarkably, Hologres can deliver query responses on massive datasets in less than a second, allowing users to engage with their data in a dynamic manner. Furthermore, it supports an impressive number of concurrent writes and queries, achieving up to 100 million transactions per second (TPS), which guarantees that data is readily accessible for analysis immediately after it is recorded. This immediate data availability plays a crucial role in enhancing the overall effectiveness of business analytics and decision-making processes. Moreover, Hologres serves as a reliable solution for organizations looking to streamline their data workflows and improve operational efficiency.
What is Denodo?
Denodo is an enterprise data management platform designed to deliver live, unified, governed, and business-ready data for AI agents, analytics, applications, and self-service users. It uses logical data management to connect information across hybrid, multi-cloud, on-premises, SaaS, lakehouse, and third-party environments without moving or duplicating data. The platform helps organizations break down data silos by creating a single trusted access layer over distributed systems. Denodo supports trustworthy AI by giving agents real-time situational awareness, relevant enterprise context, consistent semantics, and compliance guardrails. Its zero-copy approach helps organizations reduce data replication, simplify integration, and avoid delays caused by traditional pipeline-heavy architectures. The platform also provides a personalized data marketplace where users can search, discover, prepare, and use governed data with less IT involvement. Denodo’s governance capabilities enforce consistent policies across cloud and on-premises environments while supporting fine-grained oversight, lineage, and compliance controls. Its real-time query optimization allows teams to make decisions using current data while keeping infrastructure costs under control. Business-contextual semantics help tailor data delivery for different roles, use cases, applications, and AI models. Denodo can support use cases such as AI agents and apps, lakehouse optimization, real-time operations, data products, and enterprise self-service analytics. With faster insight delivery, stronger governance, and trusted data access, Denodo helps organizations create a reliable foundation for agentic AI and modern data-driven operations.
Integrations Supported
Tableau
APERIO DataWise
Amazon Web Services (AWS)
Cloudera
Cosmian
DigDash
Google Cloud Platform
Looker
Microsoft Power Query
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
24 Hour Support
Training Options
Documentation Hub
Webinars
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Alibaba Cloud
Date Founded
2008
Company Location
China
Company Website
www.alibabacloud.com/product/hologres
Company Facts
Organization Name
Denodo Technologies
Date Founded
1999
Company Location
United States
Company Website
www.denodo.com
Categories and Features
Data Warehouse
Not specified
Categories and Features
Big Data
Data Visualization
Data Catalog
Not specified
Data Fabric
Data Access Management
Data Integration
Not specified
Data Management
Not specified
Data Preparation
Not specified
Data Virtualization
Not specified
Data Warehouse
Not specified
Integration
Metadata Management
Multiple Data Sources
Web Services
Semantic Layer
Not specified