Based on our record, Apache Cassandra should be more popular than Lucene. It has been mentiond 40 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.
There are already many project about search: - https://www.marginalia.nu/ - https://searchmysite.net/ - https://lucene.apache.org/ - elastic search - https://presearch.com/ - https://stract.com/ - https://wiby.me/ I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention. I have also been gathering links meta data for some time. Maybe I will use them to feed any... - Source: Hacker News / about 2 months ago
Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions. - Source: dev.to / 3 months ago
Elastic search is kinda heavyweight infra for a small project. Its built on top of apache lucene (https://lucene.apache.org), which you can use directly. Source: 10 months ago
Elasticsearch is based on Lucene, which is built in Java. This means that monitoring the Java Virtual Machine (JVM) memory is crucial to understand the current usage of the whole system. - Source: dev.to / 12 months ago
Apache Lucene which seems to have a lot more features than Elasticsearch. Source: about 1 year ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 25 days ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 2 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.