Sparkflows sits on top of Azure as your unified agent design and execution layer — combining data connectors, ML models, LLMs, and agentic app building into a single platform your entire enterprise can use.
WHY SPARKFLOWS ON AZURE
If you have Azure,
why Sparkflows
Sparkflows includes integrated ML that can be dropped directly into any agent workflow — from feature engineering to deep learning — without separate MLOps infrastructure.
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All in one place
Data connectors, data prep, vector databases, ML models, and LLMs — unified so teams stop stitching together disconnected tools
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Admin control, configured once
Admins configure Azure connections, compute, and governance settings centrally. Every team and agent inherits those settings — no per-project re configuration required.
Powerful Agent Studio
A visual no-code canvas combining data connectors, data prep, vector databases, and ML models into production-ready agents.
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Agentic App Studio
Build complete AI-powered applications with drag-and-drop — connecting agents to workflows and enterprise systems.
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Out-of-the-box solutions
100+ prebuilt agentic AI solutions across CPG, manufacturing, supply chain, financial services, and more — ready to deploy and customise against your own Azure data.
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Native Azure integrations
Deep, first-class integration with Azure Fabric, Azure OpenAI, Azure ML, Azure Copilot, Data Lake, Synapse, and more — not bolt-on connectors, but built-in platform support
AZURE FABRIC
Deep Fabric Lakehouse Integration
Sparkflows runs natively on Azure Fabric — jobs execute on Fabric Spark, data stays in OneLake, and agents read and write delta tables without leaving the lakehouse.
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Spark compute execution
Sparkflows jobs execute directly onto Fabric's Spark compute — no separate cluster management, no data movement. Processing stays close to the data.
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Delta Tables
Read and write delta tables natively within the lakehouse — maintaining ACID transactions, schema evolution, and full version history for all agent data.
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Streaming analytical jobs
Run real-time streaming workloads on the lakehouse — powering agents with live event data, sensor feeds, and continuous analytics without leaving Fabric
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MLflow integration
Track experiments, log metrics, and manage model versions through MLflow — natively embedded in Sparkflows ML Studio and connected to Fabric's unified model registry.
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Unified One Lake
All data — structured, semi-structured, and unstructured — lands in OneLake. Sparkflows agents access it all from a single unified storage layer without duplication or migration
NATIVE AZURE AI
Built for the
Azure AI ecosystem
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Azure OpenAI
Embed GPT-4o, GPT-4, and o-series models directly into agent reasoning and generation steps — with Azure's enterprise security and compliance guarantees.
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Azure Machine Learning
Train, register, and deploy ML models on Azure ML compute — and embed them directly into Sparkflows agent pipelines with no extra wiring
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Azure Copilot
Integrate Sparkflows agents with Azure Copilot — extending Microsoft 365 with custom enterprise intelligence built on your own data and workflows.
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Azure AI Search
Power RAG agents with Azure AI Search for vector and hybrid retrieval — connecting enterprise knowledge bases directly to your agent reasoning layer.
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Azure AI Foundry
Push large-scale analytics and transformation workloads to Synapse — keeping processing close to the data while feeding agents with enterprise-scale results
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Azure Data Lake
Read and write to Azure Data Lake Storage directly — giving agents access to structured and unstructured enterprise data at any scale.
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Azure Event Hubs & IoT
Ingest real-time event streams from Event Hubs and IoT Hub directly into Sparkflows streaming agents — enabling live operational intelligence.
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Azure Synapse
Push large-scale analytics and transformation workloads to Synapse — keeping processing close to the data while feeding agents with enterprise-scale results.
100+ pre-built industry solutions
Accelerate time to value with prebuilt agentic AI solutions ready to deploy and customise — across manufacturing, supply chain, finance, retail, and more.
AGENT & APP STUDIO
Anyone can build.
Azure runs it.
​One canvas for your whole team — Sparkflows routes processing to Fabric, Azure ML, and OpenAI automatically. Design, enrich, deploy, all from one place.
Drag-and-drop canvas
Azure OpenAI
Fabric Lakehouse
No code required
Agentic app builder
AKS deployment
BUSINESS VALUE
From Azure investment
to enterprise intelligence
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80+
Enterprise connectors
Connect to any Azure service, cloud, or enterprise system from day one — zero custom integration work required.
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72+
Built-in ML algorithms
Classification, regression, clustering, forecasting, and deep learning — embedded in agents without separate MLOps infrastructure.
100+
Prebuilt solutions
Ready-to-deploy agentic AI solutions across CPG, manufacturing, supply chain, and more — days to value, not quarters.
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Platform for everything
Agent design, app building, ML, orchestration, and deployment — all from one unified platform your entire enterprise can use.