Apache InLong recently released version 1.5.0, which closed about 296+ issues, including 12+ major features and 110+ optimizations. Mainly completed the addition of StarRocks, Hudi, Doris, Elasticsearch, and other sinks, optimization of the Dashboard experience, refactor the MQ management model, support dirty data processing, full-link Apache Kafka support, and TubeMQ C++/Python SDK support for production, etc.
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong offers great power to build data analysis, modeling and other real-time applications based on streaming data.
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data.
InLong: the sacred animal in Chinese myths stories, draws rivers into the sea, as a metaphor for the InLong system to provide data access capabilities.
Apache InLong (incubating) has been renamed from the original Apache TubeMQ (incubating) from 0.9.0. With the name change, InLong has also been upgraded from a single message queue to a one-stop integration framework for massive data. InLong supports data collection, aggregation, caching, and sorting, users can import data from the data source to the real-time computing engine or land to offline storage with a simple configuration.
