Snowplow is an enterprise-strength marketing and product analytics platform. It identifies your users, and tracks the way they engage with your website or application. It stores your users' behavioural data in a scalable "event data warehouse" you control: in Amazon S3 and (optionally) Amazon Redshift or Postgres. Lets you leverage the biggest range of tools to analyze that data, including big data tools (e.g. Spark) via EMR or more traditional tools e.g. Looker, Mode, Superset, Re:dash to analyze that behavioural data.
http://snowplowanalytics.comTags | analytics event-analytics cloud kafka aws |
Implementation | Scala |
License | Apache |
Platform | OS-Independent |
Add analytics to your websites and web apps with the Snowplow event tracker for JavaScript. With this tracker you can collect user event data (page views, e-commerce transactions etc) from the client-side tier of your websites and web apps.
tracking web-analytics events open-sourceARAnalytics is to iOS what Analytical is to ruby, or Analytics.js is to javascript. ARAnalytics is an analytics abstraction library offering a sane API for tracking events and user data. It currently supports on iOS: Mixpanel, Localytics, Flurry, GoogleAnalytics, KISSmetrics, Crittercism, Crashlytics, Fabric, Bugsnag, Countly, Helpshift, Tapstream, NewRelic, Amplitude, HockeyApp, HockeyAppLib, ParseAnalytics, HeapAnalytics, Chartbeat, UMengAnalytics, Librato, Segmentio, Swrve, YandexMobileMetrica, Adjust, AppsFlyer, Branch, Snowplow, Sentry, Intercom, Keen, Adobe and MobileAppTracker/Tune. And for OS X: KISSmetrics, Mixpanel and HockeyApp.
AWS Amplify provides a declarative and easy-to-use interface across different categories of cloud operations. AWS Amplify goes well with any JavaScript based frontend workflow, and React Native for mobile developers. Our default implementation works with Amazon Web Services (AWS), but AWS Amplify is designed to be open and pluggable for any custom backend or service.
react cloud-service metrics react-native aws aws-apigateway aws-cognito pinpoint aws-mobile aws-mobilehub aws-s3 mobile-analytics pwa analytics storage cognito amazon-cognitoAWS Amplify provides a declarative and easy-to-use interface across different categories of cloud operations. AWS Amplify goes well with any JavaScript based frontend workflow, and React Native for mobile developers. Our default implementation works with Amazon Web Services (AWS), but AWS Amplify is designed to be open and pluggable for any custom backend or service.
react cloud-service metrics react-native aws aws-apigateway aws-cognito pinpoint aws-mobile aws-mobilehub aws-s3 mobile-analytics pwa analytics storage cognito amazon-cognitoLike my work? I am Principal Consultant at Data Syndrome, a consultancy offering assistance and training with building full-stack analytics products, applications and systems. Find us on the web at datasyndrome.com. There is now a video course using code from chapter 8, Realtime Predictive Analytics with Kafka, PySpark, Spark MLlib and Spark Streaming. Check it out now at datasyndrome.com/video.
data-syndrome data data-science analytics apache-spark apache-kafka kafka spark predictive-analytics machine-learning machine-learning-algorithms airflow python-3 python3 amazon-ec2 agile-data agile-data-science vagrant amazon-web-servicesGeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.
database geospatial-database spatial-database geospatial geospatial-analytics mapsPlausible Analytics is a simple, lightweight (< 1 KB), open-source and privacy-friendly alternative to Google Analytics. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR. You can self-host Plausible or have us run it for you in the Cloud. It is easy to understand and it cuts through the noise. Check your site traffic and get all the essential insights on one page in one minute. There are no layers of menus, there is no need for you to build custom reports, custom dashboards or PowerPoint documents.
website charts marketing cloud privacy statistics elixir phoenix analytics metrics clickhouse google-analytics web-analytics postgresql website-analytics tailwindcss plausible-analytics website-stats google-analytics-alternative self-hostedPostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. It provides event-based analytics at a user level, capture your product's usage data to see which users are doing what in your application. It automatically capture clicks and pageviews to analyze what your users are doing without pushing events manually.
analytics product-analytics google-analytics-alternative google-analytics react heroku docker postgres django dashboards events visualizationAnalytics abstraction layer for Swift. Inspired by Moya. There are many tools for mobile app analytics such as Firebase, Google Analytics, Fabric Answers, Flurry, Mixpanel, etc. You might use one or more of those in your application. But most of those SDKs have some problems: if you use multiple analytics tools, your code will be messed up. And the SDKs take event name as a string and parameters as a dictionary which is not guaranteed by Swift compiler. It means that if you change the event definition, you should find all related code by your hand. It has an opportunity that cause a human error. Umbrella uses Swift enums and the associated values to solve these problems.
analyticsIf you haven’t done so already, login to Keen to create a project. The Project ID and API Keys are available on the Access page of the Project Console. You will need these for the next steps. What is an event? An event is a record of something important happening in the life of your app or service: like a click, a purchase, or a device activation.
keen-io analytics web-analytics customer-insights keen-js native-analytics reporting visualization dataviz dataset dashboards charts analytics-tracking analytics-api analysis data-visualization analytics-databasePinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.
olap-database olap analytics realtime-analytics columnar-database distributed column-storeTDengine is an open-source big data platform designed and optimized for Internet of Things (IoT), Connected Vehicles, and Industrial IoT. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and costs of development and operations.
iot database monitoring time-series bigdata full-stack connected-vehicles industrial-iot time-series-database analytics real-time-analytics column-store columnar-databaseMemgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop graph applications.
kafka graph graph-algorithms nosql stream-processing graph-database kafka-streams cypher graph-analysis streaming-data opencypherCheck out the demo here. The Keen IO Explorer is an open source point-and-click interface for querying and visualizing your event data. It's maintained by the team at Keen IO. If you haven’t done so already, login to Keen IO to create a project for your app. You'll need a Keen IO account to create a project. The Project ID and API Keys are available on the Project Overview page. You will need these for the next steps.
analytics web-analytics native-analytics data-visualization dataviz data-exploration charts keen-io analysis analytics-api analytics-databaseflare.js, a <1KB unobtrusive event emitter API for Google Universal Analytics. With flare you can easily bind event JSON to a data-* attribute, or use flare.emit() to fire flares directly. Flare automatically calls ga('send') and constructs other properties (and arguments order) so you don't communicate with ga() directly. IE8+.Remember to drop in Google Analytics beforehand! See docs for more.
EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.
database columnar-database columnar-storage timeseries streaming distributed-database distributed analytics column-storeMinio is an object storage server, It is compatible with Amazon S3 cloud storage service. It is best suited for storing unstructured data such as photos, videos, log files, backups and container / VM images. Size of an object can range from a few KBs to a maximum of 5TB. Minio server is light enough to be bundled with the application stack, similar to NodeJS, Redis and MySQL.
aws-s3 storage cloud s3-storage cloud-storage object-storage cloud-native object-store file-storage blobThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data.
visualization mqtt iot coap middleware cloud microservices kafka dashboard netty snmp websockets widgets iot-platform lwm2m iot-analytics iot-solutions device-managementEventHub enables companies to do cross device event tracking. Events are joined by their associated user on EventHub and can be visualized by the built-in dashboard to answer the following common business questions.
events analytics events-analytics
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