
BaseX
MarkLogic
Apache Xerces
Apache Anakia
Apache Santuario
eXistdb
Apache Xalan
Apache Axiom
memcached
Redis
MongoDB
Aerospike
Apache Cassandra
ArangoDB
CouchDB
PostgreSQL
Based on our record, memcached should be more popular than BaseX. It has been mentiond 37 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.
Granted, it's for XML, but BaseX is a database engine that deals with hierarchical data quite well. Source: over 3 years ago
I like BaseX for XML processing. It does require a "server" install - it's fairly lightweight tho. Source: almost 4 years ago
When doing XML work, always use XPath based tools. Have a look at https://basex.org. Then lookup some XPath docs. You will need to select the nodes by ID and then compare their content. Something like:. Source: over 4 years ago
BaseX, an XQuery processor, can provide some of the information. Source: about 5 years ago
While your screenshot does not look usable at all, BaseX has several, very nice ways to visualize XML data. Source: over 5 years ago
Memcached has a single, focused goal: to be a high-performance, distributed, in-memory object caching system. It stores all data in RAM, which means reads and writes are incredibly fast. But its main weakness is just as clear: data is completely lost when the service restarts, as it offers no persistence. Its data model is a simple key-value store, limited to basic get, set, and delete operations. - Source: dev.to / about 1 year ago
Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / over 1 year ago
In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / over 1 year ago
A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / over 1 year ago
Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / almost 2 years ago
MarkLogic - Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Apache Xerces - Advanced XML parser, including support for XML Schema, DOM Level 2, and SAX.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Apache Anakia - XML Databases
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.