May 2023 Summaries
2 posts from Aerospike
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The text discusses reasons why some users may choose to move from MongoDB to Aerospike, focusing on performance and scale or cost and efficiencies. It mentions that while MongoDB is effective in many use cases, there are scenarios where it may struggle with scaling predictable latency, high-throughput document stores, and costs. In contrast, Aerospike is designed for these challenges and offers superior throughput with low latencies. The text also provides examples of companies that have migrated from MongoDB to Aerospike and benefited from significant cost savings and improved performance.
May 22, 2023
1,333 words in the original blog post.
Financial fraud detection is a complex and rapidly evolving field, requiring real-time analysis of large amounts of diverse data types. Aerospike's multi-model database offers the flexibility and performance necessary for effective fraud detection models. PayPal has reduced its financial fraud exposure by 30x with Aerospike's help, while Barclays has improved its card fraud detection solution using Aerospike's scalability and reliability. TransUnion has achieved an 80% reduction in latency for its fraud detection models through the use of Aerospike. The company continues to expand its data model support, offering strong support for document-based models and SQL access while working on graph and time series capabilities.
May 17, 2023
1,155 words in the original blog post.