InfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents the latest InfluxDB, which now includes functionality for Kapacitor (background processing) and Chronograf (the UI) all in a single binary.  It is designed to handle high write and query loads and provides a SQL-like query language called InfluxQL for interacting with data.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.
 
When run in a cluster, Cortex can replicate data between machines. This allows you to survive machine failure without gaps in your graphs. Cortex can isolate data and queries from multiple different independent Prometheus sources in a single cluster, allowing untrusted parties to share the same cluster.
 
Cortex supports Amazon DynamoDB, Google Bigtable, Cassandra, S3, GCS and Microsoft Azure for long term storage of metric data. This allows you to durably store data for longer than the lifetime of any single machine, and use this data for long term capacity planning.

Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.



Cortex - A multitenant, horizontally scalable Prometheus as a Service

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

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

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

AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

AresDB - A GPU-powered real-time analytics storage and query engine

Dev Lake brings all your DevOps data into one practical, personalized, extensible view. Ingest, analyze, and visualize data from an ever-growing list of developer tools, with our free and open source product. Dev Lake is most exciting for leaders and managers looking to make better sense of their development data, though it's useful for any developer looking to bring a more data-driven approach to their own practices. With Dev Lake you can ask your process any question, just connect and query.
 
Dev Lake provides understanding of software development lifecycle, digging workflow bottlenecks, Timely review of team performance, Rapid feedback, Agile adjustment. It helps to quickly build scenario-based data dashboards and drill down to analyze the root cause of problems.
 
<div>What can be accomplished with Dev Lake?</div><div> </div><ol><li>Collect DevOps performance data for the whole process</li><li>Share abstraction layer with similar tools to output standardized performance data</li><li>Built-in 20+ performance metrics and drill-down analysis capability</li><li>Support custom SQL analysis and drag and drop to build scenario-based data views</li><li>Flexible architecture and plug-in design to support fast access to new data sources</li></ol>

Dev Lake brings all your DevOps data into one practical, personalized, extensible view. Ingest, analyze, and visualize data from an ever-growing list of developer tools, with our free and open source product. Dev Lake is most exciting for leaders and managers looking to make better sense of their development data, though it's useful for any developer looking to bring a more data-driven approach to their own practices. With Dev Lake you can ask your process any question, just connect and query.

Dev Lake -  Data lake for Dev

Kaskada is a unified event processing engine that provides all the power of stateful stream processing in a high-level, declarative query language designed specifically for reasoning about events in bulk and in real time.
Kaskada's query language builds on the best features of SQL to provide a more expressive way to compute over events. Queries are simple and declarative. Unlike SQL, they are also concise, composable, and designed for processing events. By focusing on the event-processing use case, Kaskada's query language makes it easier to reason about when things happen, state at specific points in time, and how results change over time.
Kaskada can be best used for Machine learning, Analytics, Monitoring, Reactive applications.
Features
<ul dir="auto">
<li>Stateful aggregations: Aggregate events to produce a continuous timeline whose value can be observed at arbitrary points in time.</li>
<li>Automatic joins: Every expression is associated with an &ldquo;entity&rdquo;, allowing tables and expressions to be automatically joined. Entities eliminate redundant boilerplate code.</li>
<li>Event-based windowing: Collect events as you move through time, and aggregate them with respect to other events. Ordered aggregation makes it easy to describe temporal interactions.</li>
<li>Pipelined operations: Pipe syntax allows multiple operations to be chained together. Write your operations in the same order you think about them. It's timelines all the way down, making it easy to aggregate the results of aggregations.</li>
<li>Row generators: Pivot from events to time-series. Unlike grouped aggregates, generators produce rows even when there's no input, allowing you to react when something doesn't happen.</li>
<li>Continuous expressions: Observe the value of aggregations at arbitrary points in time. Timelines are either &ldquo;discrete&rdquo; (instantaneous values or events) or &ldquo;continuous&rdquo; (values produced by a stateful aggregations). Continuous timelines let you combine aggregates computed from different event sources.</li>
<li>Native time travel: Shift values forward (but not backward) in time, allowing you to combine different temporal contexts without the risk of temporal leakage. Shifted values make it easy to compare a value &ldquo;now&rdquo; to a value from the past.</li>
<li>Simple, composable syntax: It is functions all the way down. No global state, no dependencies to manage, and no spooky action at a distance. Quickly understand what a query is doing, and painlessly refactor to make it DRY.</li>
</ul>

Kaskada is a unified event processing engine that provides all the power of stateful stream processing in a high-level, declarative query language designed specifically for reasoning about events in bulk and in real time.

Kaskada - Modern, open-source event-processing

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InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Cortex - A multitenant, horizontally scalable Prometheus as a Service

GoatCounter - Easy web analytics. No tracking of personal data

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

AresDB - A GPU-powered real-time analytics storage and query engine

Dev Lake - Data lake for Dev

Kaskada - Modern, open-source event-processing

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InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Cortex - A multitenant, horizontally scalable Prometheus as a Service

GoatCounter - Easy web analytics. No tracking of personal data

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

AresDB - A GPU-powered real-time analytics storage and query engine

Dev Lake - Data lake for Dev

Kaskada - Modern, open-source event-processing

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