Smartlook
Hotjar
Google Analytics
FullStory
Mixpanel
Heap
Crazy Egg
Mouseflow
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the โwhysโ behind usersโ actions โ why do users churn, or why arenโt they using a feature, or why are they skipping onboarding? Now you can eliminate the guesswork.
With a unique feature set, Smartlook gives you a way to finally understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, and heatmaps give you mass data about where most people click and scroll. Automatic event tracking lets you know how (and how often) your visitors do specific things, while conversion funnels take those events and show you how much success you're having with conversions.
Started in 2016, Smartlook has grown into a complete solution for qualitative analytics, making guesswork a thing of the past. Stop wondering why, and start getting answers today.
Smartlook
DatabricksBased on our record, Databricks should be more popular than Smartlook. It has been mentiond 18 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.
Check out - smartlook.com. Just started with it yesterday and so far so good. Source: about 3 years ago
In other words, the site should fail gracefully if smartlook.com or whatever is blocked. Source: about 4 years ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / over 4 years ago
Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.