Based on our record, Lucene should be more popular than Google Cloud Bigtable. It has been mentiond 21 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
In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
> These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: about 2 years ago
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
Doxygen - Generate documentation from source code
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.
Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.