{
"bug-database": "https://github.com/apache/inlong/issues",
"category": "big-data",
"created": "2023-09-06",
"description": "Apache InLong is a one-stop, full-scenario integration framework for massive data that supports Data Ingestion, Data Synchronization, and Data Subscription, and it provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.",
"doap": "https://raw.githubusercontent.com/apache/inlong/master/doap_InLong.rdf",
"download-page": "https://inlong.apache.org/downloads",
"homepage": "https://inlong.apache.org",
"license": "https://spdx.org/licenses/Apache-2.0",
"mailing-list": "https://lists.apache.org/list.html?dev@inlong.apache.org",
"maintainer": [
{
"mbox": "mailto:dockerzhang@apache.org",
"name": "Charles Zhang"
}
],
"name": "Apache InLong",
"pmc": "inlong",
"programming-language": "Java",
"repository": [
"https://dist.apache.org/repos/dist/release/inlong/",
"https://git@github.com:apache/inlong.git"
],
"shortdesc": "Apache InLong - a one-stop, full-scenario integration framework for massive data"
}