{"action":"created","issue":{"url":"https://api.github.com/repos/LinkNLearn/homedata/issues/22","repository_url":"https://api.github.com/repos/LinkNLearn/homedata","labels_url":"https://api.github.com/repos/LinkNLearn/homedata/issues/22/labels{/name}","comments_url":"https://api.github.com/repos/LinkNLearn/homedata/issues/22/comments","events_url":"https://api.github.com/repos/LinkNLearn/homedata/issues/22/events","html_url":"https://github.com/LinkNLearn/homedata/issues/22","id":386305892,"node_id":"MDU6SXNzdWUzODYzMDU4OTI=","number":22,"title":"Open Source Tools & Platforms For Working With Time Series Data","user":{"login":"pwdel","id":13304149,"node_id":"MDQ6VXNlcjEzMzA0MTQ5","avatar_url":"https://avatars0.githubusercontent.com/u/13304149?v=4","gravatar_id":"","url":"https://api.github.com/users/pwdel","html_url":"https://github.com/pwdel","followers_url":"https://api.github.com/users/pwdel/followers","following_url":"https://api.github.com/users/pwdel/following{/other_user}","gists_url":"https://api.github.com/users/pwdel/gists{/gist_id}","starred_url":"https://api.github.com/users/pwdel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pwdel/subscriptions","organizations_url":"https://api.github.com/users/pwdel/orgs","repos_url":"https://api.github.com/users/pwdel/repos","events_url":"https://api.github.com/users/pwdel/events{/privacy}","received_events_url":"https://api.github.com/users/pwdel/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-11-30T18:47:07Z","updated_at":"2018-11-30T18:51:43Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"Here are a few tools which are already on the market for working with time-series data in the context of having a \"ready to go app,\" to visualize things.\r\n\r\nThis is not pure data science, but rather visualization.\r\n\r\nhttps://eagle.io/features\r\nhttps://aws.amazon.com/timestream/\r\n\r\nRankings:\r\nhttps://www.influxdata.com/time-series-database/#ranking\r\n\r\nhttps://kx.com/\r\nhttps://graphiteapp.org/\r\nhttps://www.influxdata.com/influxcloud-trial/\r\nhttps://www.timescale.com/ (open source, built on postgresql)\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/LinkNLearn/homedata/issues/comments/443302060","html_url":"https://github.com/LinkNLearn/homedata/issues/22#issuecomment-443302060","issue_url":"https://api.github.com/repos/LinkNLearn/homedata/issues/22","id":443302060,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MzMwMjA2MA==","user":{"login":"pwdel","id":13304149,"node_id":"MDQ6VXNlcjEzMzA0MTQ5","avatar_url":"https://avatars0.githubusercontent.com/u/13304149?v=4","gravatar_id":"","url":"https://api.github.com/users/pwdel","html_url":"https://github.com/pwdel","followers_url":"https://api.github.com/users/pwdel/followers","following_url":"https://api.github.com/users/pwdel/following{/other_user}","gists_url":"https://api.github.com/users/pwdel/gists{/gist_id}","starred_url":"https://api.github.com/users/pwdel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pwdel/subscriptions","organizations_url":"https://api.github.com/users/pwdel/orgs","repos_url":"https://api.github.com/users/pwdel/repos","events_url":"https://api.github.com/users/pwdel/events{/privacy}","received_events_url":"https://api.github.com/users/pwdel/received_events","type":"User","site_admin":false},"created_at":"2018-11-30T18:51:43Z","updated_at":"2018-11-30T18:51:43Z","author_association":"CONTRIBUTOR","body":"Rationale:\r\n\r\n> TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries. It speaks \"full SQL\" and is correspondingly easy to use like a traditional relational database, yet scales in ways previously reserved for NoSQL databases."}}
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