Apache Cassandra Alternatives
Similar projects and alternatives to Apache Cassandra
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LevelDB
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
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Scylla
NoSQL data store using the seastar framework, compatible with Apache Cassandra
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Mergify
Automate your Pull Request with Mergify. Mergify is the most powerful merge queue tool that offers speculative checks, batch merges, and multiple queueing options. Coordinated with any CI and fully integrated to GitHub. Get started or request a demo!
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CouchDB
Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
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Redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
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Apache Cassandra reviews and mentions
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The End of the Beginning for Apache Cassandra
Today is a big day for those of us in the Apache Cassandra community. After a long uphill climb, Apache Cassandra 4.0 has finally shipped. I say finally, because it has at times seemed like an elusive goal. I’ve been involved in the Cassandra project for almost 10 years now and I have seen a lot of ups and downs. So I feel this day marks an important milestone that isn’t just a version number. This is an important milestone in the lifecycle of a database project that has come into its own as an important database used around the world. The 4.0 release is not only incredibly stable in the history of Cassandra, but it’s also quite possibly the most stable release of any database. Now it’s ready to launch into the next 10 years of cloud native data; it has the computer science and hard-won history to make a huge impact. Today’s milestone is the end of the beginning.
- Looking for Cassandra
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Choosing a Database for Serverless Applications
The second category of databases is server-based, NoSQL databases. In this category, you have options like MongoDB and Cassandra.
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How to Put a Database in Kubernetes
Getting comfortable with using these primitives will help you understand how databases and other data infrastructure are deployed on K8s. For example, a deployment of Apache Cassandra® will typically use a StatefulSet to launch pods across available Kubernetes worker nodes, with each Cassandra pod having its own PersistentVolumeClaim that can be preserved and reused if the pod needs to be replaced.
- Apache Cassandra: Best use practices in the search for performance ?!
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How to run Cassandra Container locally?
Most of us have heard about Apache Cassandra, it is an open sourced distributed NoSQL Database which is used by large corporations like Facebook, Uber, etc
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Google Colab, Pyspark, Cassandra remote cluster combine these all together
Cassandra
- ว่าด้วยเรื่อง Apache Cassandra และ Amazon Keyspaces
- What are they building—and why? 6 questions for the top Java architects
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Why a Serverless Data API Might Be Your Next Database
You can test drive it locally with a download, but it’s much easier with Docker, and easiest as-a-service on astra.datastax.com - a serverless DBaaS API built on Apache Cassandra, K8ssandra, Stargate, Apache Pulsar, Envoy and other modern open source.
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Best Practices for Data Pipeline Error Handling in Apache NiFi
Choosing tools tailored to big data is the first step towards an efficient data pipeline. Here, it is important to consider NoSQL databases, such as Apache Cassandra, which is specifically designed to help with data availability, write-intensive workload, and fault tolerance. As a result, many performance, scalability, and throughput problems are already controlled.
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Paper review: Simple Testing in Distributed Systems
The authors performed an analysis of critical failures of the five distributed systems: Cassandra, HBase, HDFS, MapReduce, and Redis.
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Before coding loads!
Basically, a backend developer deals with server side which refers to whatever the user cannot see. Everything occurs in the background. Everything that has to do with functionalities like creating a shopping cart, making dynamic pages, creating app tools etc. A backend developer will have to acquire one of server-side languages such as PHP, Node.js, Python etc and a relational (MySQL, PostgreSQL, IBM) or non-relational (such as MongoDB, Cassandra) database.
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Why I run Django on Kubernetes as a one-man SaaS
Full disclosure, I work on the K8ssandra project which provides a data layer backed by Apache Cassandra with APIs from Stargate.
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3 reasons to adopt Event Sourcing
Where's the catch, then? Well, there's a couple of catches, in fact. First of all, in a distributed setting, appending data to a log isn't that easy. First, you need to make your log distributed. Again, Kafka/Cassandra/EventStore make this possible, however, whenever you start dealing with distributed data, you‘re introducing new operational and implementation complexity.
Stats
apache/cassandra is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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