Announcing TrailDB - An Efficient Library for Storing and Processing Event Data - NextRoll
tl;dr Today, we are open-sourcing TrailDB, a core library powering AdRoll. TrailDB makes it fast and fun to handle event data. Find it at traildb.io. Problem: Event Data Imagine that you have a large amount of event data that looks like this: 2016-05-02T22:48:38 user023 view features 2016-05-02T22:49:01 user301 click graph 2016-05-02T23:03:02 user023 view pricing 2016-05-02T23:15:45 user187 submit
InfluxDB | Real-time insights at any scale | InfluxData
Real-Time Analytics Collect, analyze, and predict in real time
「時系列センサデータベースシステムã®åˆæœŸçš„検討ã€ã®ã¾ã¨ã‚: Akito's IT技術 メモ
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時系列データå‘ã‘TempoDBサービス | ã‚¤ãƒ³ãƒ•ã‚£ãƒ‹ãƒ†ã‚£ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã‚ºæ ªå¼ä¼šç¤¾ãƒ–ãƒã‚°
時系列データをMySQLã‚„MangoDBã§å–り扱ã†ã®ã¯å¤§å¤‰ã 。時間ãŒçµŒã¤ã«ã¤ã‚Œã€ãƒ‡ãƒ¼ã‚¿é‡ãŒå¢—大ã—ã¦ã„ãã€ã¤ã„ã«ã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãŒãƒ‘ンクã—ã¦ã—ã¾ã†ã€‚ãã“ã§ã€æ™‚系列データã‹ã‚‰ãªã‚‹ãƒ“ッグデータをå–り扱ã†ã“ã¨ã‚’主眼ã«ãŠã„ãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ»ã‚µãƒ¼ãƒ“スãŒç™»å ´ã—ãŸã€‚TempoDBã 。 ‘TempoDB is the first purpose-built time series database service, making this type of big data easy to manage — and just in time. Experts estimate in 10 years there will be 50 billion connected devices, and total data creation is set to increase by 44x.’ 「TempoDBã¯åˆã‚ã¦
Database
Widebase is a column-oriented database for large time series. Ideally to fast query high volumes of data like backtesting or realtime. The modular architecture carries a flexible integration and customization for embedded environments or client/server. Widebase works on top of the file system and third-party utilities like dump(8) or restore(8). The included stream protocol is the right choice to
Time Series Database - TempoDB
Track events like play counts, app opens, and link clicks with our Atomic Increment API. Know how your users are interacting with your content and applications instantly. Time series data storageSimple REST API offers easy data storage and retrievalNo downsampling so data is stored at full resolution (1ms max)Automated scaling stores as much data as you need3X data replication guarantees data avai
Seriesly - Document Oriented Time Series DB
So, I started writing a document-oriented time-series database in go two weeks ago. It’s really nothing groundbreaking, but it’s been quite fun. My purpose is to have a system that allows me to store arbitrary performance data captured as it’s seen in the wild, and then later come up with ways to look at it. Check out this real life example to get a feel for the kinds of captures we’re working wit
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Google Code Archive - Long-term storage for Google Code Project Hosting.
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