Scalability
Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
High Availability
Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
Performance
It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
Flexible Data Model
Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
Geographical Distribution
Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
No Single Point of Failure
Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure.
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3 months ago
Distributed storage
Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers.
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5 months ago
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.
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6 months ago
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.
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7 months ago
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.
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about 1 year ago
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
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about 1 year ago
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.
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over 1 year ago
Change Data Capture is a technique used to capture and propagate changes made to a database such as MySQL, Microsoft SQL, Oracle, PostgreSQL, MongoDB, or Cassandra. CDC works by continuously monitoring the database for any changes made to the data. Multiple types of change data capture patterns can be used for data processing from a database. These include log-based CDC, trigger-based CDC, CDC based on timestamps,…
– Source: dev.to
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over 1 year ago
The popular NoSQL database Cassandra utilizes a compression algorithm called LZ4 to reduce the footprint of data at rest. LZ4 is characterized by very fast compression speed at the cost of a higher compression ratio. This is a design choice that allows Cassandra to maintain high write throughput while also benefiting from compression in some capacity.
– Source: dev.to
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over 1 year ago
Java is an easy language regarding syntax and language constructs. The complexity arises from the problems that you are solving with the language – for example, many databases are written in JAVA (for example the https://cassandra.apache.org/_/index.html). The core of the database is very complex, thankfully Java is easy to read so once you are quite familiar with the language, you can focus on solving interesting…
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over 1 year ago
There are several alternatives to Redis that are worth considering, depending on your specific needs and requirements. Some popular options include Memcached, which is another in-memory data store that is often used for caching, and Apache Cassandra, which is a distributed NoSQL database that is designed for scalability and high availability.
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almost 2 years ago
In general, there are two different approaches, one is to choose a common NoSQL database, such as MongoDB, ElasticSearch or Apache Cassandra. All of these NoSQL databases have good scalability and can support complex queries. In addition, these databases are very mature, so the learning curve is low for both use and operation.
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almost 2 years ago
Next, review deployment complexity such as DB-less versus database-backed deployments. For example, Kong does require running Cassandra or Postgres. Apigee requires Cassandra, Zookeeper, and Postgres to run, while other solutions like Express Gateway and Tyk only require Redis. Apache APISIX uses etcd as its data store, it stores and manages routing-related and plugin-related configurations in etcd in the Data…
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almost 2 years ago
Database – Considering the traffic and scale of the service we can go with a non-relational database(MongoDB, Apache Cassandra, etc..) or a relational database(PostgreSQL, MySQL, etc…) and Redis for in-memory caching.
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almost 2 years ago
If you’re planning on querying the db using the filenames, a NoSQL option might be Cassandra (https://cassandra.apache.org/_/index.html). I haven’t used it personally but I’ve heard it can manage large amounts of data efficiently and pretty fast.
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almost 2 years ago
For instance, Apache Cassandra, the open source NoSQL database that was introduced by Facebook in 2007, is both horizontally scalable and data center aware. If we were to deploy Cassandra to solve this problem, it would look something like the image below.
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over 2 years ago
Since the data is not strongly relational, NoSQL databases such as Amazon DynamoDB, Apache Cassandra, or MongoDB will be a better choice here, if we do decide to use an SQL database then we can use something like Azure SQL Database or Amazon RDS.
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about 2 years ago
We will split the data between different services each having ownership over a particular table. Then we can use a relational database such as PostgreSQL or a distributed NoSQL database such as Apache Cassandra for our use case.
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about 2 years ago
Maybe rare for someone to be seeking their first coding job at that age. But plenty of us are in our 50s or older and still coding up a storm. And not necessarily ancient tech or anything. My current project exposes analytics data from Apache Druid and Cassandra via Go microservices hosted in K8s.
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about 2 years ago
Astra DB is a multi-cloud database-as-a-service (DBaaS) based on Apache Cassandra™ that eliminates the overhead of installing, operating, and scaling your own database installation. Essentially, Astra DB helps developers reduce deployment time, costs, and nightmares. Astra DB also equips you with a few data APIs to build applications faster, which leads us to our next big player — Stargate.
– Source: dev.to
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about 2 years ago
Since the data is not strongly relational, NoSQL databases such as Amazon DynamoDB, Apache Cassandra, or MongoDB will be a better choice here, if we do decide to use an SQL database then we can use something like Azure SQL Database or Amazon RDS.
– Source: dev.to
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about 2 years ago