Google Analytics
Matomo
Mixpanel
Plausible.io
Clicky
Fathom Analytics
Adobe Analytics
Hotjar
Apache Calcite
Apache Drill
Microsoft SQL
MySQL
Oracle DBaaS
PostgreSQL
Turbot
Presto DB
Google AnalyticsAll the golden insights in one place fro all your store and sites etc , amazing app by google
Based on our record, Google Analytics should be more popular than Apache Calcite. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let’s discuss Google Analytics in particular and other tools in general, which are available online to measure the website performance. Source: about 3 years ago
Google Analytics: A free tool from Google that provides in-depth website analytics and performance metrics, including traffic sources, user behavior, and conversions. Source: about 3 years ago
Automating your affiliate marketing has a clear advantage: scalability. As your affiliate network grows, manual management becomes difficult. Automation makes it easier to handle a larger volume of affiliates, communicate with them, and monitor their performance. This means that your affiliate program can grow without sacrificing efficiency. You can also use automation tools to track and report affiliate... Source: about 3 years ago
Google Analytics: It provides in-depth insights into website traffic, user behavior, conversions, and other important metrics. Source: about 3 years ago
Implement a robust website analytics tool, such as Google Analytics, to track key metrics and gather insights about user behavior. Set up goals and conversion tracking to measure the impact of your website redesign or migration on your business objectives. Source: about 3 years ago
> Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / about 3 years ago
Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: over 3 years ago
One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / about 4 years ago
Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / about 4 years ago
You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / about 4 years ago
Matomo - Matomo is an open-source web analytics platform
Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺
MySQL - The world's most popular open source database