memcached VS Google Cloud Bigtable

memcached Reviews

Google Cloud Bigtable Reviews

memcached mentions (28)

• How to choose the right type of database

  Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs. - Source: dev.to / 2 months ago

• A Developer's Journal: Simplifying the Twelve-Factor App

  Stores session state in a session store like Memcached or Redis. - Source: dev.to / 5 months ago

• Django Caching 101: Understanding the Basics and Beyond

  Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers. - Source: dev.to / 10 months ago

• Node.js server-side authentication: Tokens vs. JWT

  In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached. - Source: dev.to / 10 months ago

• How Instagram handles data?

  The main components are sharding and caching. The storage is done with MySQL. The cache is done by memcached. Source: 12 months ago

Google Cloud Bigtable mentions (6)

• Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution

  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

• Google Cloud Reference

  Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago

• A Graph-Based Firebase

  > 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

• The 4 Types of NoSQL Databases You Need to Know

  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

• Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?

  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: over 2 years ago