Varnish VS Apache Cassandra

Varnish Reviews

Apache Cassandra Reviews

Varnish mentions (16)

• Varnish Cache

  Varnish Cache is a tool that provides a caching HTTP reverse proxy in order to accelerate your web applications. Once Varnish Cache is installed in front of any server that understands HTTP and configured to cache the contents, delivery speeds are typically enhanced by a factor of 300-1000x, depending on architecture. Kilobyte22 finds this tool along with HAProxy to be a winning combo. Source: 11 months ago

• Leveraging Cache to improve Web Performance

  In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider). - Source: dev.to / 12 months ago

• Beyond Changing Technology: Scaling Your Applications Efficiently

  To handle this level of traffic, you can use tools such as Varnish HTTP Cache, which caches the information of a news article starting from the first user who accesses and makes the request. Once Varnish caches the page, subsequent users will receive a response that is saved in memory. This process allows you to avoid unnecessary synchronous requests and send a quick response to users. - Source: dev.to / about 1 year ago

• Web resource caching: Server-side

  A couple of dedicated server-side resource caching solutions have emerged over the years: Memcached, Varnish, Squid, etc. Other solutions are less focused on web resource caching and more generic, e.g., Redis or Hazelcast. - Source: dev.to / over 1 year ago

• Microfrontends: Microservices for the Frontend

  Edge Side Includes (ESI): a more modern alternative to SSI. ESI can handle variables, have conditionals, and supports better error handling. ESI is supported by caching HTTP servers such as Varnish. - Source: dev.to / over 1 year ago

Apache Cassandra mentions (40)

• Understanding SQL vs. NoSQL Databases: A Beginner's Guide

  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 / 23 days ago

• How to choose the right type of database

  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

• Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.

  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

• How to Choose the Right Document-Oriented NoSQL Database for Your Application

  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

• NoSQL Databases vs Graph Databases: Which one should you use?

  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