Kibana provides flexible analytics and visualization platform for Elasticsearch. It understands large volume of data and easily create bar charts, line and scatter plots, histograms, pie charts, and maps. It can provide real-time summary and charting of streaming data. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Kibana - Analytics and search dashboard for Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. 
 
 Its feature include: 
 <ul>
	<li>Distributed and Highly Available Search Engine.
	<ul>
		<li>Each index is fully sharded with a configurable number of shards.</li>
		<li>Each shard can have one or more replicas.</li>
		<li>Read / Search operations performed on either one of the replica shard.</li>
	</ul></li>
	<li>Multi Tenant with Multi Types.
	<ul>
		<li>Support for more than one index.</li>
		<li>Support for more than one type per index.</li>
		<li>Index level configuration (number of shards, index storage, &#8230;).</li>
	</ul></li>
	<li>Various set of APIs
	<ul>
		<li>HTTP RESTful API</li>
		<li>Native Java API.</li>
		<li>All APIs perform automatic node operation rerouting.</li>
	</ul></li>
	<li>Document oriented
	<ul>
		<li>No need for upfront schema definition.</li>
		<li>Schema can be defined per type for customization of the indexing process.</li>
	</ul></li>
	<li>Reliable, Asynchronous Write Behind for long term persistency.</li>
	<li>(Near) Real Time Search.</li>
	<li>Built on top of Lucene
	<ul>
		<li>Each shard is a fully functional Lucene index</li>
		<li>All the power of Lucene easily exposed through simple configuration / plugins.</li>
	</ul></li>
	<li>Per operation consistency
	<ul>
		<li>Single document level operations are atomic, consistent, isolated and durable.</li>
	</ul></li>
</ul>

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. 

ElasticSearch - Distributed, RESTful search and analytics engine

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.

Snowplow - Cloud-native web, mobile and event analytics, running on AWS and on-premise with Kafka

Plausible 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. 
 
All the site measurement is carried out absolutely anonymously. Cookies are not used and no personal data is collected. There are no persistent identifiers. No cross-site or cross-device tracking either. Your site data is not used for any other purposes. Segment your audience by any metric you click on. Answer the important questions about your visitors, content and referral sources. Analyze paid campaigns and dark traffic using UTM parameters. Track outbound link clicks and 404 error pages. Create custom events, see how they convert and identify trends that matter.

Plausible 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.

Plausible Analytics - Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics

Umami is a simple, fast, website analytics alternative to Google Analytics. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from. Everything is displayed on a single, easy to browse page. It is able to track an unlimited number of websites from a single installation. You can even track subdomains and individual URLs.
 
Umami can be used to host data for friends or clients. Just create a separate account and they can start tracking their own websites on their own dashboard. Its interface is optimized for mobile so you can view your stats from anywhere.

Umami is a simple, fast, website analytics alternative to Google Analytics. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from. Everything is displayed on a single, easy to browse page. It is able to track an unlimited number of websites from a single installation. You can even track subdomains and individual URLs.

Umami - Simple, fast, website analytics alternative to Google Analytics

Matomo is the leading Free/Libre open analytics platform. Matomo is a full featured PHP MySQL software program that you download and install on your own webserver. At the end of the five minute installation process you will be given a JavaScript code. Simply copy and paste this tag on websites you wish to track and access your analytics reports in real time.

Matomo - Liberating Web Analytics

GoatCounter is an open source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy to use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. 
 
It doesn’t track users with unique identifiers and doesn't need a GDPR notice. It identify unique visits without cookies using a non-identifiable hash. It keeps useful statistics such as browser information, location, and screen size and also keeps track of referring sites and campaigns.

GoatCounter is an open source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy to use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. 

GoatCounter - Easy web analytics. No tracking of personal data

PostHog 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. PostHog supports session recording to watch videos of your user behavior, with fine-grained privacy controls. It also has plugins to integrate your product usage data with other systems, like your CRM, or data lakes.
Its features include:
<ul>
<li>Event based analytics</li>
<li>User and Group Tracking</li>
<li>Data Visualization</li>
<li>Session Recording</li>
<li>Feature Flag</li>
<li>Heatmap</li>
<li>Correlation analysis</li>
</ul>
If you want to test or play with PostHog, try installing in Linux using Docker
<pre class="language-bash"><code> /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)" </code></pre>
&nbsp;

PostHog 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.

PostHog - Product analytics, built for developers

Pirsch is a simple, cookie-free, and open-source web analytics solution that easily integrates into your website or backend.
Pirsch generates a unique fingerprint for each visitor. The fingerprint is a hash of the visitors IP address, User-Agent, the date, and a salt. The tracking works without invading the visitor's privacy. It doesn't use cookies and no personal information is stored, making it GDPR-, CCPA-, and PECR-compliant. If used on the server-side, Pirsch can track visitors using ad blockers.
You can receive detailed insights on all your numbers in real-time. Filter statistics with a single click and connect to Google Search Console to see what searches led people to your website without leaving your dashboard.
&nbsp;

Pirsch is a simple, cookie-free, and open-source web analytics solution

Pirsch - Simple, cookie-free, and open-source web analytics solution

Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.
 
This project is for the design and implementation of a high performance, scalable, distributed storage and processing system for structured and unstructured data. It is designed to manage the storage and processing of information on a large cluster of commodity servers, providing resilience to machine and component failures. Data is represented in the system as a multi-dimensional table of information. The data in a table can be transformed and organized at high speed by performing computations in parallel, pushing them to where the data is physically stored.

Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.

Hypertable - A high performance, scalable, distributed storage and processing system for structured 

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required. Its feature set include Rich Document Parsing and Indexing (PDF, Word, HTML, etc) using Apache Tika, An Administration Interface, Monitorable Logging, Fast Incremental Updates and Index Replication, Highly Scalable Distributed search with sharded index across multiple hosts, HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby, PHP, Velocity) Solrj is embedded solr. It provides Java based API and it takes care of constructing, parsing, sending and receiving HTTP request.

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites. 

Solr - Blazing-fast, open source enterprise search platform

The default JavaScript tracking snippet for Google Analytics runs when a web page is first loaded and sends a pageview hit to Google Analytics. If you want to know about more than just pageviews (e.g. where the user clicked, how far they scroll, did they see certain elements, etc.), you have to write code to capture that information yourself.Since most website owners care about a lot of the same types of user interactions, web developers end up writing the same code over and over again for every new site they build.

Autotrack - Automatic and enhanced Google Analytics tracking for common user interactions on the web

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license. 
 
TimescaleDB automatically scales and spreads data written to a hypertable into many dynamically-created chunks. Hypertables present the abstraction of a single table, yet transparently partitioned by time and space, they enable high insert rates even at billions of rows.

 TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license. 

Timescaledb - An open-source time-series database optimized for fast ingest and complex queries

MapD Core is an in-memory, column store, SQL relational database that was designed from the ground up to run on GPUs. MapD Core is the foundational element of a larger data exploration platform that emphasizes speed at scale. By taking advantage of the parallel processing power of the hardware, MapD Core can query billions of rows in milliseconds. Furthermore, by using the graphics pipelines of GPUs, MapD Core can render graphics directly from the server.
 
MapD can operate as a standalone database using the command line or its administration console. MapD can also output to its native interface, MapD Immerse, or to third-party software such as Tableau, Qlik, or Birst, using a variety of connectors. 
 
Within a single server, MapD Core can handle datasets 1.5-3TB in raw size in GPU RAM, or 10-15TB in CPU RAM. In distributed deployments, that number scales linearly.

 MapD Core is an in-memory, column store, SQL relational database that was designed from the ground up to run on GPUs. MapD Core is the foundational element of a larger data exploration platform that emphasizes speed at scale. By taking advantage of the parallel processing power of the hardware, MapD Core can query billions of rows in milliseconds. Furthermore, by using the graphics pipelines of GPUs, MapD Core can render graphics directly from the server.

MapD - The MapD Core database

ClickHouse is an open source column-oriented database management system capable of real time generation of analytical data reports using SQL queries. It is Linearly Scalable, Blazing Fast, Highly Reliable, Fault Tolerant, Data compression, Real time query processing, Web analytics, Vectorized query execution, Local and distributed joins. It can process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.

ClickHouse - Columnar DBMS and Real Time Analytics

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