Based on our record, Google Custom Search should be more popular than Spark Streaming. It has been mentiond 6 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.
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Google's programmable search engine comes to mind: https://developers.google.com/custom-search/. Source: over 1 year ago
Dorking is not only a very useful technique to find not-indexed results and unvoluntarly exposed content, it it also helps to improve beginner's analyst mindset. You can take it as an introduction to basic query language. What I can strongly suggest is to test your skills by creating your own google custom search engine (https://developers.google.com/custom-search/) that will faciltate your onlime search by... Source: over 1 year ago
It looks like is targeted towards website owners and not the general public. https://developers.google.com/custom-search. - Source: Hacker News / about 2 years ago
A functional replica of Google's search page, you can use it for searches. Styled with Tailwind CSS to Rapidly build and look as close as possible to current google search page, the search results are pulled using Googles Programmable Search Engine and it was build using Next.js the react framework. - Source: dev.to / about 2 years ago
There is a programmable search feature [0] that lets you limit search to a defined list of sites. Someone did a ShowHN a few months ago where they had built a programmable search with 200ish common sites that a stereotype HN reader might like (software documentation, wikipedia, reddit, some news and other media, etc), and it was actually pretty good. I've said before, google is now basically what I'd call a... - Source: Hacker News / about 2 years ago
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Site Search 360 - Site Search 360 enhances and improves your built-in CMS or product search with autocompletion, semantic search, filters, facets, detailed analytics, and a whole lot of customization options.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.