Based on our record, Apache Spark seems to be a lot more popular than Azure Cognitive Search. While we know about 56 links to Apache Spark, we've tracked only 4 mentions of Azure Cognitive Search. 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.
Microsoft offers an array of different AI-powered products, including Azure OpenAI Service, Azure AI Search, Azure AI Speech, and their most recent Microsoft Copilot for Office 365. - Source: dev.to / about 1 month ago
Very cool. I wonder when it makes sense to engineer things at this level vs using something like Azure AI search. [0] Love to see version control on all the things! Wonder if the version control features would be more robust if implemented in Doltgres. [0] https://azure.microsoft.com/en-us/products/ai-services/ai-search/ [1] https://github.com/dolthub/doltgresql. - Source: Hacker News / 3 months ago
Azure Cognitive Search may seem out of place in an article on conversational AI, but I do believe that chatbots are really often a form of conversational search. You're interacting with a virtual agent looking for some piece of information or looking to accomplish some task. - Source: dev.to / over 1 year ago
In the ones where we need a persistence layer, we rely on the resources Azure Cosmos DB or Azure Database for PostgreSQL. Other services provide an API to search among a catalog of products with Azure Cognitive Search. As I will explain later, we work with different environments, therefore, creating and updating the resources across them becomes a harder task. - Source: dev.to / almost 3 years ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
Hadoop - Open-source software for reliable, scalable, distributed computing