pg_analytics: Transforming Postgres into a Fast OLAP Database - ParadeDBpg_analytics: Transforming Postgres into a Fast OLAP Database
Introducing the new Google Analytics
Millions of businesses, large and small, rely on Google Analytics to understand customer preferences and create better experiences for them. With more commerce moving online and businesses under increased pressure to make every marketing dollar count, insights from digital analytics tools are even more critical. But with major shifts in consumer behavior and privacy-driven changes to longtime indu
Plausible Analytics
It's time to ditch Google Analytics Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive. That's why we built Plausible Analytics, a simple but powerful, lightweight (< 1 KB), open source and privacy-friendly alternative. Here's what makes Plausible a great Google Analytics alternative and why over 12,000 paying subscribers trust us with their website
PostHog - The open source Product OS
Product analyticsFunnelsGraphs & trendsUser pathsStickinessLifecycleRetentionSQLExplore Web analyticsEnable aggregate website analytics with one click if you're already using PostHog. Pageviews, sessions, unique visitorsTop pages & pathsDevice & locationChannelsExplore Session replayWatch users interacting with your app or website. Available for web and iOS. (Android support coming soon.) Event ti
How many users block google analytics?
I've been running Google Analytics on my blog for around a year now, and every time I look at the data it provides, I trust it less and less. Frequently, the statistics it provides are misleading, if not flat-out wrong1. And in addition to that, many people block google analytics, so I don't actually know how many views I'm getting. A few days ago, I decided to compare my google analytics dashboar
Apache Druid | Apache® Druid
Sub-second queries at any scaleExecute OLAP queries in milliseconds on high-cardinality and high-dimensional data sets with billions to trillions of rows without pre-defining or caching queries in advance. High concurrency at the lowest cost Build real-time analytics applications that supports 100s to 100,000s queries per second at consistent performance with a highly efficient architecture that u
ETL and ELT design patterns for lake house architecture using Amazon Redshift: Part 1 | Amazon Web Services
AWS Big Data Blog ETL and ELT design patterns for lake house architecture using Amazon Redshift: Part 1 New: Read Amazon Redshift continues its price-performance leadership to learn what analytic workload trends we’re seeing from Amazon Redshift customers, new capabilities we have launched to improve Redshift’s price-performance, and the results from the latest benchmarks. Part 1 of this multi-pos
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Parseable - Log analytics stack, built for developers
GitHub - datalens-tech/datalens: A modern, scalable analytics system
DataLens: An open-source BI system
Serverless ClickHouse for Developers
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GitHub - dcmoura/spyql: Query data on the command line with SQL-like SELECTs powered by Python expressions
Introducing the new Analytics 360
A list of privacy-friendly Google Analytics alternatives.
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