Antwort Is Cassandra still being used? Weitere Antworten – Is Cassandra still relevant
Twelve-plus years after its invention, Cassandra is now used by approximately 90 percent of the Fortune 100, and it's appeal is broadening quickly, driven by a rush to harness today's “data deluge” with apps that are globally distributed and always-on.When we want many-to-many mappings or joins between tables. Cassandra doesn't support a relational schema with foreign keys and join tables. So if we want to write a lot of complex join queries, then Cassandra might not be the right database for us.Around the world in 2024, over 6,179 companies have started using Apache Cassandra as nosql-databases tool. Companies using Apache Cassandra for nosql-databases are majorly from United States with 2,766 customers. 56.45% of Apache Cassandra customers are from the United States.
Why use Cassandra over SQL : While MySQL is a go-to choice for traditional relational database requirements, Cassandra is more apt for handling large-scale, distributed, and high-throughput environments. The choice between the two should be based on specific application requirements, data structures, and scalability needs.
Does Netflix use Cassandra
Netflix started with a 12-node Cassandra cluster and scaled up to 24 nodes to support the current data size. Some Netflix titles have more than 3M annotations (most of which are subtitles). Currently, the service has around 1.9 billion annotations with a data size of 2.6TB.
Is Cassandra deprecated : As an always-on technology during major upgrades, Cassandra maintains compatibility across adjacent major versions. Cassandra does not break API compatibility without a deprecated grace period demarcated by major versions. Upgrades without downtime are supported from any major version to the next major version.
Apache Cassandra has a more structured data storage system than MongoDB. If the data you're working with is in a fixed format, Cassandra is more suitable. If the data is more dynamic and doesn't have a consistent structure, MongoDB works better.
There is a tendency to think of Apache Cassandra as a platform for huge companies. However, there are use cases for midsize companies as well. Apache Cassandra tends to get "pigeonholed [as] this very, very large-scale type of workload. It's the platform that Netflix is built on.
Should I use MongoDB or Cassandra
Apache Cassandra has a more structured data storage system than MongoDB. If the data you're working with is in a fixed format, Cassandra is more suitable. If the data is more dynamic and doesn't have a consistent structure, MongoDB works better.SQL is able to handle moderate storage. As Cassandra facilitates automatic distribution of data, it allows relatively fast data transfer to or from the storage. As SQL allows manual distribution of data, the speed of data transfer, in this case, is relatively slow than of Cassandra.Apple: Apple utilizes Cassandra to handle data for various internal applications and services, including iCloud, Apple Maps, and Siri. Uber: Cassandra powers critical components of Uber's infrastructure, such as real-time analytics, monitoring, and user data management, enabling seamless operations at a global scale.
Spotify utilizes Apache Cassandra in its infrastructure to serve data behind a personalization algorithm, which recommends songs to its users.
Can Cassandra replace Redis : Cassandra is more focussed on giving you stability, and hence like SQL, you can store huge data sets. But, it is slower in speed than that of Redis. Redis is much faster than Cassandra, but it gets slower if you use it for huge data sets and is ideally suited for rapidly changing datasets.
Why choose Cassandra over MongoDB : If the data you're working with is in a fixed format, Cassandra is more suitable. If the data is more dynamic and doesn't have a consistent structure, MongoDB works better.
How does Netflix use Cassandra
Data Storage — MySQL and Cassandra
On the other hand, Netflix uses Apache Cassandra for use-cases demanding heavy read and write operations. Cassandra's distributed architecture and high write performance make it an excellent choice for maintaining users' viewing history.
At least one cluster was over 1,000 nodes, and Apple regularly gets millions of operations per second (reads/writes) with Cassandra.MongoDB is a general-purpose database that can support multiple use cases with its flexible document model, rich aggregation language, and robust features such as sharding and ACID compliant transactions. Therefore, it can cover the vast majority of Cassandra's most popular use cases, and much more.
What are the drawbacks of Cassandra : Drawbacks of Cassandra
It requires specialized knowledge to properly set up and configure, and optimizing performance can be challenging. Eventual consistency: Cassandra uses an eventually consistent data model, which means that there can be some delay between updates being made on different nodes.