Appbase.io provides a supercharged Elasticsearch experience with an advanced search relevance control plane that allows a user to build and test a relevant search with no code. Since this experience is powered under the hood with Elasticsearch - so you aren't limited in the future if you wish to build upon what appbase.io already offers. You can host with us, or run it alongside your existing Elasticsearch cluster.
What can you can do with appbase.io: - Build Auto suggestions (powered by n-grams, edge n-grams), - Highlighting support, - Support for 39 languages as well as support for multi-language search, - Popular suggestions based on analytics, - Set synonyms, - Use rank feature in addition to text relevance to optimize relevance tuning, - Advanced query rules to extend search relevance.
In addition to our no code control plane, one can use our JS UI components (4,000+ Github stars, 1MM+ downloads, actively used by more than 1,000 projects) to design the search experience for web and mobile. We offer these components for React, Vue, React Native and Vanilla JS.
When a search experience is powered with appbase.io, we additionally collect telemetry on search and click data and provide one of the most powerful analytics to visualize the search engagement and conversion metrics.
Head over here for a 14-day trial: https://dashboard.appbase.io/signup/
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Based on our record, Google App Engine seems to be a lot more popular than Appbase.io. While we know about 28 links to Google App Engine, we've tracked only 1 mention of Appbase.io. 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.
We also have an open-source version of the appbase.io server (available as Docker/Linux binaries) with all the essential search features included: https://github.com/appbaseio/reactivesearch-api. Source: almost 3 years ago
In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 1 day ago
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 3 days ago
In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering. - Source: dev.to / about 2 months ago
To deploy the app, we can use Google Cloud App Engine, which is specifically built for server-side rendered websites. After we create a new project in the Google Cloud Console, we have to configure the cql-trace-viewer application. - Source: dev.to / about 1 year ago
I've read that article, but I'm thinking there are other better (and most importantly cheaper) ways of doing that, such as using App Engine (given that you have to mitigate the maximum request timeout and to make sure there are constantly exactly 1 instance running). Source: about 1 year ago
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