Azure Integration | Sparkflows

AZURE INTEGRATION

Build, Deploy & Scale
Agentic AI on Azure.

One no-code/low-code platform to design, enrich, orchestrate, and deploy intelligent agents — natively integrated with Microsoft Azure's AI, data, and fabric services.

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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.

All in one place

Data connectors, data prep, vector databases, ML models, and LLMs — unified so teams stop stitching together disconnected tools.

Agentic App Studio

Build complete AI-powered applications with drag-and-drop — connecting agents to workflows and enterprise systems.

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.

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.

Powerful Agent Studio

A visual no-code canvas combining data connectors, data prep, vector databases, and ML models into production-ready agents.

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.

CAPABILITIES

What Sparkflows
gives your team

01

Agent Builder

Design intelligent agents visually — combining data wrangling, ML logic, and LLM reasoning into production-ready agents without engineering overhead.

04

Agentic App Studio

Schedule, chain, and monitor agent and data pipeline jobs across Azure services from a single dashboard — with real-time status, alerts, and logs built in.

02

Agentic App Builder

Build complete AI-powered applications with drag-and-drop components. Connect agents to workflows, forms, dashboards, and enterprise systems in one experience.

05

Out-of-the-box solutions

Deploy agents and agentic apps to Azure Kubernetes Service or Azure Container Apps with one click — Sparkflows handles packaging, scaling, and lifecycle management.

03

ML Models Studio

Train, evaluate, and embed ML models — from classification and regression to deep learning and forecasting — directly into agent workflows on Azure compute.

06

Native Azure integrations

Enterprise-ready role-based access controls, audit trails, and agent registries — giving IT and governance teams full control while business teams move fast.

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

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.

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.

Delta tables

Read and write delta tables natively within the lakehouse — maintaining ACID transactions, schema evolution, and full version history for all agent data.

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.

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.

Unified OneLake

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

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.

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.

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.

Azure Data Lake

Read and write to Azure Data Lake Storage directly — giving agents access to structured and unstructured enterprise data at any scale.

Azure Copilot

Integrate Sparkflows agents with Azure Copilot — extending Microsoft 365 with custom enterprise intelligence built on your own data and workflows.

Azure Event Hubs & IoT

Ingest real-time event streams from Event Hubs and IoT Hub directly into Sparkflows streaming agents — enabling live operational intelligence.

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.

Azure Synapse

Push large-scale analytics and transformation workloads to Synapse — keeping processing close to the data while feeding agents with enterprise-scale results.

PRE-BUILT SOLUTIONS