Dosi Description
Dosi is a versatile AI data analysis tool that can be downloaded and is specifically designed for data and software teams that create AI agents and applications capable of responding to inquiries regarding organizational data. It features a semantic layer that allows users to define business entities, metrics, relationships, and dimensions, utilizing these definitions to convert questions posed in natural language into actionable SQL queries. Teams have the option to integrate Dosi with compatible agents via the Model Context Protocol (MCP), or they can utilize its command-line interface and local server for their development processes. Dosi is capable of connecting to supported analytical databases and data warehouses, enabling queries to be executed against designated data sources while ensuring that business definitions remain uniform. This tool is particularly beneficial for applications such as governed conversational analytics, agent-assisted data exploration, and embedding structured business context into AI-driven data solutions, ultimately enhancing the efficiency of data analysis within organizations. Furthermore, Dosi empowers teams to leverage their data in a more meaningful way, driving insights that support informed decision-making.
Dosi Alternatives
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.
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AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
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Apache Ossie
Apache Ossie serves as an open specification and conversion toolkit designed for the seamless exchange of semantic metadata among analytics, business intelligence, and AI systems. Utilizing a YAML-based format, it articulates semantic models, datasets, fields, metrics, dimensions, relationships, and SQL expressions in a manner that is easily transferable. This enables data and analytics engineers to create, translate, and repurpose these definitions across interconnected platforms, thus ensuring a unified business context for reporting and AI-driven analysis. As a collaborative initiative, the project operates under the Apache License 2.0, and the availability of conversions is contingent upon the specific implementation by each platform. Additionally, this initiative fosters collaboration and innovation within the open-source community, encouraging contributions that enhance the toolkit's capabilities.
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Pricing
Pricing Starts At:
$0
Pricing Information:
Dosi is free to download, use in production, and redistribute under Elastic License 2.0. The license restricts offering Dosi as a hosted or managed service and includes other use conditions.
Free Version:
Yes
Company Details
Company:
Datus
Year Founded:
2025
Headquarters:
United States
Website:
dosi.datus.ai/
Media
Datus workspace showing an Olist e-commerce dashboard with order, revenue, delivery, and review charts.
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Product Details
Platforms
Mac
Linux
On-Premises
Types of Training
Training Docs
Customer Support
Online Support
Dosi Features and Options
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