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DenodoDenodo 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.
What is Alkemi?
Alkemi's flagship product, DataLab, functions as a secure, AI-powered workspace that enables seamless access to your organization’s regulated data sourced from platforms like Snowflake, BigQuery, Databricks, or even simple CSV uploads, allowing users to ask questions in natural language and receive prompt, comprehensible answers, visualizations, and recommendations without the need for SQL knowledge or analyst support. Operating in a private and secure environment, DataLab diligently indexes and analyzes your data, guaranteeing that every insight is traceable and verifiable, thus preserving the integrity of your data while safeguarding intellectual property and governance. By integrating complex data storage with user-friendly decision-making, it significantly enhances business intelligence clarity through conversational AI, effectively reducing BI backlogs and speeding up decision-making processes across diverse sectors, including marketing, finance, product, sales, and operations. Moreover, DataLab enables data providers to convert their datasets into interactive, AI-ready experiences that can be safely explored by buyers, promoting quicker data discovery while ensuring the integrity of the original raw data is maintained. This groundbreaking method not only optimizes workflows but also cultivates a robust culture of data-driven decision-making within organizations, ultimately leading to more informed and strategic business outcomes. In this way, DataLab serves as a critical tool for businesses aiming to leverage data effectively and strategically in an ever-evolving market landscape.
What is ALLOS?
ALLOS is an enterprise data operations platform that connects Microsoft Excel and Word to live enterprise systems such as SAP, databases, and APIs. It introduces a centralized execution layer where data access, calculations, and transformations are defined once and executed inside the organization’s infrastructure.
Excel and Word act only as user interfaces. Business users keep their flexibility, while IT retains control, traceability, and governance. ALLOS supports both read access for reporting and controlled write-back operations such as postings, API calls, and data corrections.
The platform also automates document generation and supports AI-assisted queries, where AI translates user intent into governed execution without accessing or storing enterprise data. ALLOS is deployed on-premise, in the cloud, or in hybrid environments and is used in Excel-centric enterprise reporting and operations.
Integrations Supported
Microsoft Excel
Ankr
Claude
Databricks
GitHub
GitHub Copilot
Gmail
Google Cloud BigQuery
Google Sheets
LangChain
Integrations Supported
Microsoft Excel
Ankr
Claude
Databricks
GitHub
GitHub Copilot
Gmail
Google Cloud BigQuery
Google Sheets
LangChain
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing is quote-based
Pricing is quote-based and depends on deployment scope and usage.
Free Version
Free Trial Offered?
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
Alkemi
Date Founded
2024
Company Location
United States
Company Website
www.alkemi.ai/
Company Facts
Organization Name
ALLOS Solutions
Date Founded
2015
Company Location
Portugal
Company Website
www.allossolutions.com
Categories and Features
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics