InLong is a one-stop data integration framework 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.
Started: 2019-11-03; Last Status Update: 2022-01-05
Reporting: January, April, July, October
PPMC members: 22
Mentors: Junping Du (junping_du), Justin Mclean (jmclean), Sijie Guo (sijie), Zhijie Shen (zjshen), Jean-Baptiste Onofré (jbonofre)
2019-11-03 Project enters incubation.
2020-04-21 New Committer: Technoboy-
2020-05-30 First Apache TubeMQ release v0.3.0.
2020-07-13 New Committer: dockerzhang
2020-08-03 Apache TubeMQ release v0.5.0.
2020-10-06 New Committer: charlely
2020-10-20 Apache TubeMQ release v0.6.0.
2020-12-04 Apache TubeMQ release v0.7.0.
2020-12-10 New Committer: yuanboliu
2020-12-14 New PPMC: dockerzhang
2021-03-04 Apache TubeMQ release v0.8.0.
2021-04-11 Project renamed from TubeMQ to InLong.
2021-07-24 First Apache InLong release v0.9.0 after the rename.
2021-09-14 Apache InLong release v0.10.0.
2021-11-05 Apache InLong release v0.11.0.
2020-11-09 New Committer: TszKitLo40
2020-11-25 New PPMC: aloyszhang
2020-11-26 New Committer: healchow
2021-12-22 Apache InLong release v0.12.0.
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