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Aiven for Dragonfly vs Aiven for Caching benchmarking

Aiven offers two powerful in-memory data stores - Aiven for Dragonfly and Aiven for Caching. In this post we help you make the optimal choice for your project. Speed is essential in the world of data access. When milliseconds matter, choosing the right in-memory data store can make or break your application's performance. This article delves into a head-to-head comparison of two prominent contenders that Aiven offers: Aiven for Dragonfly and Aiven for Caching.

Securing Your Open Source Dependency Chain

Discover the two simple steps you can take to secure your open source dependency chain. Open-source software (OSS) has become the backbone of modern software development, empowering developers with a vast ecosystem of freely available libraries, frameworks and tools. However, as the old saying goes, ‘there's no such thing as a free lunch’, and the over reliance on OS components introduces significant security risks that can compromise the entire software supply chain.

Introducing Aiven's AI Database Optimizer: The First Built-In SQL Optimizer for Enhanced Performance

Increase database performance by 10x with an expert, AI-driven, professional available 24/7. An efficient data infrastructure is a vital component in building & operating scalable and performant applications that are widely adopted, satisfy customers, and ultimately, drive business growth. Unfortunately, the speed of new feature delivery coupled with a lack of database optimization knowledge is exposing organizations to high risk performance issues.

Fast and Flexible, Self-Service Bring Your Own Cloud (BYOC) for AWS now Generally Available

Infrastructure Architects can now easily set up and run Aiven services in their own AWS account with simplified migrations and expanded flexibility. In today’s world, organizations are under pressure to optimize their cloud costs while owning their critical data. While innovation is a priority, finding optimal solutions, and options can be limited when compliance requirements often restrict third parties that can deliver business value from accessing critical business data.

Secure, Segregated Multi-tenant Analytics in PostgreSQL using Aiven for Apache Kafka, Debezium, and Aiven for ClickHouse

Enabling secure and performant multi-tenant analytics for your PostgreSQL® deployments on Aiven's data platform. In the realm of multi-tenant Software-as-a-Service (SaaS) applications, managing a centralized PostgreSQL® database for multiple customers can present challenges in maintaining secure segregation of their data. While a single database offers infrastructure efficiency, it becomes crucial to ensure each organization has isolated access and control over their information.

What is Dragonfly?

Discover the power of Dragonfly: Scalability, resilience, and real-time messaging. Uncover the benefits of this cutting-edge in-memory data store solution now! Dragonfly is a performant and memory-efficient drop-in replacement for Redis®, utilizing a modern multi-threaded shared-nothing architecture. That’s it! In essence, we have already captured the ambitious mission of Dragonfly.

What's new at Aiven: Q4/2023 - Q1/2024

Optimize data infrastructure with the power of AI. Upgrade open source data services and reduce costs with self-service BYOC on AWS. The Aiven team strives to enhance our platform with new features to enable organizations to innovate rapidly and manage their growing data infrastructure efficiently. In case you missed some of our newest product news, we’ll take a glimpse here so you can discover our latest developments!

The Top Two Misconceptions as FSI Compliance Requirements Tighten

With Basel 3.1 aligned frameworks, governments worldwide are increasingly emphasising the need for financial institutions to maintain operational continuity. With compliance and risk management regulations set to tighten globally, many financial services organisations are working extremely hard to identify and close gaps in their existing risk management and compliance strategies.