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Planet Cassandra is a robust and active community of users and developers who contribute to the success of Apache Cassandra® in a variety of applications, ranging from e-commerce to real-time analytics.
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ACID Transactions Change the Game for Cassandra Developers
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Architect’s Guide to Using NoSQL for Real-time AI: Part 1

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Featured article
Loading Streaming Data into Cassandra Using Spark Structured Streaming
Loading Streaming Data into Cassandra Using Spark Structured Streaming

When creating real-time data platforms, data streaming is a low-latency, high-throughput method of moving data. Where batch processing methods necessarily introduce delays in order to gather a batch worth of …

Featured article
Streaming Stock Data with Apache Flink and Cassandra
Streaming Stock Data with Apache Flink and Cassandra

Introduction Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in …

Cassandra Use Cases

Titanium Intelligent Solutions
Titanium Intelligent Solutions

Titanium Intelligent Solutions chose Cassandra to provide the speed and scalability needed to power their unified platforms for monitoring, controlling and applying predictive analytics across millions of heterogeneous IoT devices.

Intelligent Waves
Intelligent Waves

Goldman Sachs
Goldman Sachs

Ryzeo
Ryzeo

Ryzeo's marketing platform relies on Cassandra's speed and high availability to help online merchants convert shoppers with empty shopping carts into buyers.

Instacart
Instacart

Instacart, a large-scale online grocery delivery platform, utilizes Apache Cassandra's distributed NoSQL database to manage order data, store user profiles, and conduct real-time analytics, enabling personalized experiences and efficient operations.

Ibexa
Ibexa

Challenge: Ibexa, a DXP (Digital Experience Platform) provider, required a database solution capable of managing real-time data at scale to support their customers' need for up-to-date information and personalized recommendations. Cassandra, known for its scalability, seemed like a suitable choice. However, Ibexa faced challenges in deploying and managing Cassandra, which diverted their attention and resources away from their core value as DXP developers. Solution: To address these challenges, Ibexa explored Database-as-a-Service (DBaaS) providers to find a solution that could effectively handle Cassandra management and offer comprehensive support for all Cassandra features. This solution utilized the power of Cassandra while offloading the burden of operational management. With Cassandra on AWS, Ibexa streamlined their cloud-native application development process. The managed service took care of the complexities associated with operating a robust database like Cassandra, allowing Ibexa to focus on their core competencies and eliminate the need for extensive internal maintenance. Results: By adopting Cassandra, Ibexa gained confidence in the stability and reliability of their real-time data management within the DXP environment. They no longer needed to worry about node failures or other operational issues that could disrupt their services. This stability contributed to increased customer satisfaction with the simplicity and ease of use of the DXP platform, particularly in terms of real-time data management. The flexibility of Cassandra allowed Ibexa to easily set up and configure their database across various cloud environments, including different zones within Amazon AWS. This adaptability enabled Ibexa's customers to effortlessly adjust their configurations based on their evolving business needs. Over time, Ibexa established a strong relationship with their managed service provider, participating in developer events and engaging with other users of Cassandra. As Ibexa progresses towards delivering more personalized B2B and B2C recommendations using machine learning and advanced algorithms, they intend to leverage these connections to continue enhancing the real-time personalization and performance of their platform.

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