Nazare Data Platform enables fast big data ETL processing and supports real-time equipment data streaming worldwide, facilitating the construction of a service data lakehouse. It effectively collects and categorizes large-scale IoT data in the manufacturing and equipment industries, supporting data-driven decision-making and productivity enhancement.
Nazare Data Platform can flexibly scale and process petabytes of data or more. It builds a data warehouse with ACID compliance and governance on top of the data lake, enabling real-time queries on raw big data. It also supports real-time big data ETL processing and aggregation, as well as seamless integration with various BI and ML tools and libraries.
Nazare Data Platform offers an open-source-based architecture that allows seamless integration and customization according to the requirements of customers, supporting not only various public clouds like AWS, Microsoft Azure, and Google Cloud but also private cloud and on-premises environments.
Nazare Data Platform can execute real-time high-performance data processing pipelines with minimal server resources. It enables the construction of a high-performance and efficient data platform at less than 50% of the cost compared to other data platforms.
Nazare Data Platform supports major communication protocols and PLCs used in key manufacturing industries. It is developed using open-source technologies and open data formats, eliminating vendor dependencies. Additionally, it allows data connectivity with existing BI and ML tools and libraries.
Ingkle's ability to analyze remote test equipment operating across vast regions quickly and efficiently without distance constraints was quite impressive. After the initial test introduction, we expanded Ingle's data platform and solutions nationwide and extended them to AI analysis.