Apache Solr might be a bit more popular than Amazon ElastiCache. We know about 17 links to it since March 2021 and only 12 links to Amazon ElastiCache. 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.
Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / 7 months ago
Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / 8 months ago
Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 1 year ago
Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 1 year ago
Not to sound like a purist, but when I build serverless applications, I'd prefer for all of it to be serverless. Using Amazon Elasticache breaks that paradigm. That service has pay-per-hour pricing and doesn't quite have the flexibility I'm used to when working with serverless services. - Source: dev.to / over 1 year ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago
Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: 12 months ago
If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 1 year ago
Developers will use their SQL database when searching for specific things like client names, product names, or address search. Now when you want to level up from there and search all tables you better off using a separated server with a specific program like https://solr.apache.org/. Source: over 1 year ago
We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 2 years ago
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.
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
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.
memcached - High-performance, distributed memory object caching system
Swiftype - The simplest way to add search to your website or application. Sign up for free.