Based on our record, Apache Spark should be more popular than Apache Lucene. It has been mentiond 56 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.
I have to find a few examples of relatively small programming libraries that has been rewritten/ported to C++, C# and Java. Example: Lucene (it isn't that small, but still shows what I'm looking for). Source: over 1 year ago
He is talking about impacting the search algorithm. Putting a “+” sounds like it is negatively impacting search quality. Source: over 1 year ago
For example Lucene is a core project common to many search engines, lots of things built ontop of it. And there are similar libraries Https://lucene.apache.org/core/. Source: over 1 year ago
Full-text search Elasticsearch is built on top of Apache Lucene, an open-source information retrieval software. Apache Lucene enables Elasticsearch can perform complex full-text searches using a single or combination of word phrases against its No SQL database. - Source: dev.to / almost 2 years ago
If I had control of the back end I would implement a full-text engine such as Lucene. Generate the lookup table as a batch job and then perform the FTS when the request comes in. If you try to do this real-time, your search will take exponentially longer the larger the data set gets. Source: about 2 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 / 3 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 / 4 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 / 12 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.
Google Cloud Search - Search across all your company's content in G Suite.
Hadoop - Open-source software for reliable, scalable, distributed computing