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9 posts tagged with "Version"

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· 8 min read

Apache InLong recently released version 1.7.0, which closed about 150+ issues, including 3+ major features and 40+ optimizations. The main features include support for sending data directly to Kafka, MySQL all-database migration with schema change support, GH-OST awareness for MySQL all-database migration, the addition of 4 batch import modes (CSV, SQL, JSON, and Excel), simplification of command line tool for creating data stream configurations, and refactoring of the Dashboard layout.

· 8 min read

Apache InLong recently released version 1.6.0, which closed about 202+ issues, including 11+ major features and 80+ optimizations. Mainly completed the addition of Kudu data stream, improvement of Redis data stream, the addition of MQ cache cluster selector strategy, optimization of Audit ID allocation rules, the addition of data node connection testing, optimization of Sort Audit reconciliation benchmark time, and expansion of Audit support for using Kafka to cache audit data.

· 6 min read

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.

· 4 min read

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.

· 4 min read

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.

· 4 min read

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.

· 5 min read

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.

· 5 min read

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.