Antwort What is Cassandra not good for? Weitere Antworten – What are the limitations of Cassandra

Drawbacks of Apache Cassandra

• Complexity: Apache Cassandra is a distributed system that requires a lot of expertise to operate efficiently.
• No support for complex transactions: Apache Cassandra does not support complex transactions.
• Limited query support: Apache Cassandra supports a limited set of query operations.

Cassandra databases have several limitations. One limitation is the lack of support for joins, which can be a bottleneck for applications that require flexible query mechanisms. Another limitation is the limited number of spatial operations and lack of features for data retrieval querying compared to SQL databases.Cassandra is suitable for applications that can't afford to lose data, even when an entire data center goes down. There are no single points of failure. There are no network bottlenecks. Every node in the cluster is identical.

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 to use and not to use Cassandra

So, it's pretty simple, if a single node database works for us, then Cassandra probably doesn't bring much to the table. If we just want more read performance and a single-node database that can handle the writes, even then chances are Cassandra isn't the perfect fit.

What is Cassandra advantages and disadvantages : Cassandra is great when you have large workload that involves many writes but few reads such as storing and scaling millions of daily logs or sensor or IoT events . Cassandra has some limitations related to reading the data such as querying, searching, sorting or performing large scale aggregations or ad-hock queries.

Cassandra was given the gift of prophecy, but was also cursed by the god Apollo so that her true prophecies would not be believed. Many versions of the myth relate that she incurred the god's wrath by refusing him sexual favours after promising herself to him in exchange for the power of prophecy.

Cassandra's ability to handle large-scale data sets with low-latency performance makes it a popular choice in industries such as finance, healthcare, and telecommunications. As an open-source solution, Cassandra empowers developers with flexibility and adaptability for building robust, distributed database systems.

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.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.

The god Apollo fell in love with Cassandra and offered her the gift of foretelling the future in return for her love. Cassandra agreed to the bargain and received Apollo's gift but then refused to keep her word. In retaliation, Apollo cursed her so that her prophecies would never be believed.

What is Cassandra’s tears syndrome : Cassandra's Tears is a prophetic condition, in which the carrier falls in a seizure and has visions of the future. It is first mentioned in Grave Peril. The only person mentioned in the series with Cassandra's Tears is Lydia, who has had three visions of a spirit coming for her.

When not to use Apache Cassandra : 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.

Is Cassandra highly scalable

Scalability: Cassandra can effortlessly scale to accommodate growing data volumes and user loads. High Availability: It ensures data availability and fault tolerance even in the presence of hardware failures. Flexible Schema: Cassandra's schema-less design allows for easy adaptation to evolving data requirements.

Spotify utilizes Apache Cassandra in its infrastructure to serve data behind a personalization algorithm, which recommends songs to its users.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.

Why use MongoDB over 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.