Efficient, real-time, low-code SaaS solution
Based on LakeSoul, the only domestic LakeSoul storage framework, a multi-source data real-time lake entry solution is created. This solution can efficiently and conveniently complete the import of massive real-time data, support the real-time synchronization of the whole database tables, and support the automatic Schema change and automatic sensing of new tables. Seamlessly interconnect with various business scenarios, realize intelligent data applications, and maximize the release of data value.
Feature-rich
Support upstream MySQL, Oracle, and Kafka multi-source data in real-time into the lake; After being imported, data can be analyzed and calculated, and snapshots can be queried. The downstream ADAPTS a variety of BI and AI engines to release the value of data.
Efficient and stable
Object storage realizes high-speed synchronous updates, real-time calculation of all links T+0, and rapid feedback of service effects. Breakpoint continuous transmission is adopted to avoid data island, redundancy, and swamp.
Simple and quick
Adapted to various public and private clouds, it can run in Hadoop and K8s clusters, with complete interface configuration and development, simplifying the development process and making it easy to get started.
From the data source to the application of a complete lake warehouse integrated ecosystem
ELT's modern data architecture upstream supports a variety of data sources accessible through the integrated platform to achieve real-time data synchronization, real-time data warehouse, reports, machine learning samples, OLAP, and other applications. The whole process helps enterprises achieve digital transformation.
Solve the contradiction between diversified data application scenarios and traditional big data architecture, and achieve efficient, flexible, safe, and reliable data use
Many scenarios
DB, log files, and other data sources can be used for real-time lake entry analysis, machine learning sample construction, and other BI and AI applications through the LakeSoul integrated platform.
Efficient automatic
Without manual intervention, it can realize automatic synchronization of the whole database, automatic table construction, automatic table structure change, reduce the burden of developers, and reduce labor costs.
Low cost
Computing and storage separation, elastic expansion, unified stream batch architecture, no need for multiple sets of data links, reducing costs.
Example of real-time online database entry report analysis
With only relevant configurations, such as online data sources, the whole database synchronization and real-time entry task can be started. It supports the automatic sensing of new tables and synchronizing table structure changes without human operation and maintenance. The online data is updated to the lake warehouse in real time. The BI reports and large-screen display are seamlessly connected and updated in real time so that key business indicators can be grasped at any time to support business decisions.
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