Supports multi-source data ingestion, automated data modeling and transformation, metric computation, and visualization — all in real time
Efficient, Real-Time, Low-Code SaaS Solution
The real-time lakehouse BI solution built on LakeSoul, the open-source lakehouse framework, supports automatic real-time synchronization from databases, Kafka, application logs, and other sources. With built-in data modeling and metric computation, the entire pipeline updates incrementally in real time, so reports stay current and decisions are made faster.
Feature-Rich
Built-in connectors for multiple data sources, along with data modeling and metric computation, eliminate the need to develop and deploy real-time computation and ETL jobs. Publish real-time BI reports and AI models with one click.
Real-Time Computing
End-to-end incremental processing in real time, supporting filtering, aggregation, joins, deduplication, and more, with minute-level latency and low compute overhead. Built on the lakehouse, it handles massive data volumes at low cost.
Fast Deployment
Runs on public and private clouds, Hadoop, and Kubernetes clusters for rapid deployment. Fully UI-based configuration and development with automated job deployment and operation simplify the development process and make it easy to get started.
One-Stop Solution from Data Sources to BI Applications
Configure the entire pipeline — lakehouse ingestion, modeling, and analysis — through a web interface, with automatic real-time computation and report updates. Supports real-time data warehouse modeling, BI analytics, AI models, and other data applications to fully unlock the value of data
Overcome the development and operations challenges of real-time data warehousing and analytics, and deliver efficient, low-cost BI directly on the lakehouse
Broad Scenario Coverage
Unified BI and AI compute and analytics. Supports real-time construction of multi-dimensional wide tables and machine learning sample joins, and connects seamlessly to multiple BI and AI engines.
Efficient and Automated
Automatically synchronizes data sources, incrementally updates metric computation tasks, and schedules and runs compute jobs without manual intervention, reducing developer effort and operational cost.
Low Cost
A cloud-native architecture enables a real-time data warehouse on cost-effective object storage, with elastic scaling of compute and storage for high efficiency at low cost.
Real-Time BI Analytics on the Lakehouse
With simple configuration of data sources and business metrics, you can run real-time analytics on massive lakehouse data and quickly build real-time reports and AI training samples
