How to Build Your Own Oracle Analytics
Replace Oracle Analytics with a custom build. A complete platform for every analytics user role with embedded AI and ML
Build Difficulty: 5/5
Build a working replacement in a weekend with AI tools
Estimated Timeline
Based on 31 features at Weekend Project difficulty, expect about One weekend with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 31 features
AI/ML(6 features)
High performance computing platform for accelerating model building, training, and publishing with support for Python, R, and SQL
View simple explanations of factors influencing ML model predictions and interact with models by adjusting factors to fine-tune results
Embedded ML helps users discover unseen patterns and insights from data while removing human bias and enabling easy interpretation of outcomes
Query data verbally or using search-like patterns in 28 languages with natural language generation capabilities
Ask business questions through simple search-like experience using text or voice in 28 languages to obtain spoken narratives of results alongside visualizations
+1 more in this category
Data Preparation(4 features)
Inline data preparation and enrichment allows business users to address data quality issues without additional tools
Visual data flow builder to transform, merge, and enrich data with results saved to Oracle Analytics storage, connected databases like Snowflake or MySQL, or Oracle Essbase
Quick view of data to identify anomalies and help with corrections through custom reference knowledge capability for business-specific information enrichment recommendations
Ingest, profile, repair, and extend datasets both local and remote, saving time and reducing errors with visual dataflows
Deployment(3 features)
Oracle Analytics Server available from Oracle Cloud Marketplace deployed as hosted, customer-managed service
Oracle-managed cloud native service delivered on Oracle Cloud Infrastructure (OCI) with flexible consumption-based pricing
Customer-managed software that can be deployed to non-Oracle data center, own data center, or cloud infrastructure such as Microsoft Azure
Integration(3 features)
Copy autogenerated HTML code to embed any visualization into other web applications for seamless integration
Native connectivity with Oracle EPM for direct access to financial information with built-in hierarchical navigation and natural language generation
Support multiple data visualization tools such as Microsoft Power BI while retaining consistent and trusted view of enterprise metrics
Security(3 features)
Fine-grained access controls ensuring all stakeholders use the same data irrespective of their personalized view and level of access
Native integration with federated identity management systems enabling single sign-on (SSO) across applications
Application and role-based security that specifies who is authorized to access what across the platform
Data Integration(2 features)
Unify data across organization from multiple sources including public cloud, private cloud, on-premises, data lakes, databases, and spreadsheets for complete consistent view
More than 35 built-in native connectors to popular data from Oracle and non-Oracle data sources, plus JDBC connector support
Visualization(2 features)
Easily add maps to dashboards and layer disparate maps to visualize correlations between unconnected spatial datasets
Build compelling visual stories using code-free drag-and-drop interface to create interactive data visualizations and dashboards without specialized skills
Administration(1 features)
Operationalize and automate administrative tasks such as starting, stopping, or scaling the OAC instance using OCI CLI
Cost Calculator
Keep Paying Oracle Analytics
Build It Yourself
Total Cost Comparison
DIY hosting estimate based on Vercel + Supabase free/pro tiers (~$20/mo). Build time estimated from 31 features at very easy complexity.