SplashBI Platform Overview
Built for Scale. Engineered for Control. Designed for Everyone.
SplashBI is a unified enterprise analytics platform with live database reporting, a governed semantic layer, dynamic cloud connectors, and conversational AI—all backed by a secure, extensible architecture.
Self-Service Reporting & Analytics
Live, Direct Query Execution from Source Systems
— No Replication Required
SplashBI provides real-time access to operational databases using direct JDBC connections, eliminating the need for ETL/ELT jobs or data duplication. Reports and dashboards are built on top of live queries, reflecting your most current data at all times.
Native JDBC connectivity to Oracle, SQL Server, Snowflake, Redshift, and more
Real-time query passthrough engine with parameter binding, pagination, and throttling
No data movement ensures accuracy, compliance, and reduced latency
Semantic logic layer simplifies query construction and reuse across reports
Role-based access with dynamic filtering, metadata controls, and built-in audit trails
Engineered for technical precision. Delivered with business clarity.
SplashAI
SplashAI turns enterprise data into dialogue safely, accurately, and fast.
Conversational Intelligence Layer, Embedded in Your Data Platform
SplashAI is an integrated LLM-based assistant trained to understand your enterprise schema, security model, and reporting needs. Users can ask complex, domain-specific questions using natural language and receive visualized, governed results without writing a single line of SQL.
Turns plain-language questions into intelligent analytics queries to deliver the right data effortlessly.
Tied to your metadata layer for context-aware responses
Audit-logged, configurable for environments with data compliance requirements
Enforces row-level and role-based access policies automatically
Enables cross-dataset synthesis for multi-domain querying
Cloud Data Pipelines
ELT-Ready for Cloud App Integration at Scale
Most SaaS platforms restrict direct query access. SplashBI solves this by offering configurable, API-based data pipelines that support both real-time and scheduled data extraction, transformation, and load.
Integrate Your Data
Data Integration Across Database, Files, & Cloud Services
SplashBI’s integration layer supports live, data warehouse: From structured databases to spreadsheets and REST APIs, you can ingest and query enterprise data wherever it lives.
Supports JDBC, APIs, CSV, and Excel for flexible data access across structured sources and flat files—ensuring seamless integration into your workflows.
Boosts performance with efficient connection pooling that reduces database load. Admins can customize pool size, timeouts, and access controls to match workload needs.
SplashBI connects natively to platforms like Snowflake, Databricks, Oracle, and MySQL—so you can skip complex setup and focus on insights, not integrations.
Build Your Own Cloud Connector
API-Based Integration Without Custom Coding Overhead
SplashBI’s Cloud Connector Builder lets teams create custom connectors visually—no coding needed. Define endpoints, auth methods, and payload mapping. Schedule runs, handle errors, and control access with role-based permissions. Custom, simplified.
XL Connect
Real-time Reporting, Excel Simplicity.
Experience swift, user-friendly, and secure data analysis – directly to Excel in minutes.
User-friendly Interface
With XL Connect, no technical expertise is needed to generate, customize, and refresh real-time data reports.
Excel-Powered Data
Leverage the familiarity and power of Excel for secure, real-time data access using XL Connect.
Platform Essentials
Technical Capabilities That Drive Enterprise-Grade Deployment
The engine under the hood that your admins and architects will appreciate.
Federated authentication using enterprise identity providers with configurable session policies.
Send personalized reports by combining static inputs with dynamic SQL-based filters.
Centralized logging for user activity, report runs, system changes, and access attempts.
Isolated customer environments within one platform instance with secure resource sharing.
Automate reports with time-based, calendar, and event-driven scheduling.
Control access across the platform with fine-grained authorization rules.
Ingest files with schema validation, error handling, and mapping tools.
Map visual data relationships with reusable joins and semantic tagging.
Work on reports in draft mode and publish only when finalized — without affecting production.
