Sparkflows sits on top of Databricks as your unified AI and analytics layer, bringing AI Agents, Agentic AI Apps, data wrangling, machine learning, and self-service analytics together on the Databricks Lakehouse.
WHY SPARKFLOWS ON DATABRICKS
If you have Databricks,
why Sparkflows
Sparkflows extends Databricks with visual, self-service tools for building AI Agents, Agentic AI Apps, advanced analytics, and data workflows — making advanced AI and analytics accessible across teams.
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All in one place
​AI Agents, Agentic AI Apps, data wrangling, analytics, ML algorithms, and data connectors — unified on one visual platform.
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Powerful AI Agents Studio
Build complex AI Agents with reasoning, data wrangling, ML Models, LLMs, RAG, and 100+ connectors.
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Agentic AI Apps Studio
Build self-serve applications with multi-stage workflows, rich outputs, and custom visualizations — without requiring end users to have Databricks access.
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Data Wrangling & Analytics Studio
Transform, profile, and analyse Databricks Lakehouse data visually, without writing SQL or Spark.
Self-Serve Advanced Analytics
Enable Business Analysts, Data Engineers, and Data Scientists to work from the same visual canvas and reduce dependency on data and engineering teams.
100+ Vertical AI Solutions
Pre-built Agents and solutions across CPG/Retail, Supply Chain, Manufacturing, Finance, Sales, Telecom, Healthcare, and more — ready to deploy and customise on Databricks.
DATABRICKS LAKEHOUSE
Native Databricks Lakehouse Integration
Sparkflows connects directly to the Databricks Lakehouse, bringing enterprise data, governed access, scalable compute, and existing workflows into AI Agent and application development.
Delta Lake & Lakehouse
Read and write natively to Delta Lake and Databricks Lakehouse, keeping data close to AI and analytics workflows.
Unity Catalog Governance
Apply Databricks governance through Unity Catalog with low-level and column-level access policies.
Enterprise Data Sources
Connect to DBFS, external storage such as S3, Blob, and GCS, along with 60+ enterprise data sources.
Databricks Compute
Execute workloads on Databricks clusters with auto-scaled and serverless compute.
AI Agent & App Workflows
Feed Databricks outputs directly into AI Agents Studio and Agentic AI Apps Studio.
Secure & Governed Execution
Run notebooks and workflows securely in the background without exposing Databricks credentials or raw data to end users.
DATABRICKS AI & DATA
Built for the Databricks
AI & Data Ecosystem
Bring Databricks data, compute, notebooks, and workflows into Sparkflows to build, orchestrate, and deploy AI Agents and Agentic AI Apps.
Databricks Lakehouse
Connect AI Agents and applications to enterprise data on the Databricks Lakehouse.
​Databricks Notebooks
Execute Databricks notebooks securely in the background from Agentic AI Apps.
Databricks Workflows
Run existing Databricks workflows behind self-serve applications, connecting data processes with Agentic AI experiences.flows
Databricks Compute
Leverage Databricks clusters and scalable compute for the workloads behind AI Agents and applications.
100+ pre-built industry solutions
Accelerate time to value with prebuilt Agentic AI solutions ready to deploy and customise across CPG/Retail, Supply Chain, Manufacturing, Finance, Sales, Telecom, Healthcare, 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 Databricks Investment to Enterprise AI
200+ Agents & Templates
Accelerate development with pre-built AI Agents and reusable templates.
90+ ML Algorithms
Classification, regression, clustering, forecasting, and more — embedded directly into workflows.
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60+ Data Connectors
Connect to databases, cloud storage, APIs, and enterprise systems.
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20X More Users Enabled
Extend AI and advanced analytics to more users across the enterprise.
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15X Faster Use Cases
Move from data and experimentation to production-ready AI faster.
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1 Platform for Everything
Agent design, app building, ML, orchestration, and deployment — all from one unified platform your entire enterprise can use.