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Aiven

Benchmarking Hyperscalers: Aiven for ClickHouse Delivers More for Less

Jun 19, 2025 By Arthur Ansquer In Aiven
Aiven is proud to introduce our new pricing plans for Aiven for ClickHouse! Depending on your chosen region and plan, you can now double your compute power for the same price. On the other hand, if reducing costs is your priority, it's now possible to lower your total cost by up to 30% for the same compute power, depending on how you use the service. But how did we achieve this? This article explains how, and why Aiven’s nodes are the best for your ClickHouse workloads.
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Flavors of PostgreSQL: Choosing the Right Database for Your Next Build

Jun 19, 2025 By Aiven In Aiven
In this deep dive, we’ll explore the modern PostgreSQL landscape—from core extensions to cloud-native forks—and help you confidently choose the right implementation based on your technical and business needs. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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Aiven

The 3 Es of Diskless Kafka BYOC

Jun 11, 2025 By Filip Yonov In Aiven
Diskless Kafka splits storage from compute, delegating replication to cheap object storage and turning Apache Kafka Brokers into a stateless compute layer. It’s 100% Kafka, and 80% cheaper. But in the cloud, a cheaper underlying technology does not always mean you pay less. The cost varies significantly depending on the deployment model - SaaS or BYOC. In this article, we will learn why.
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Aiven

The Gold Standard, Evolved: What's New with PostgreSQL and Why It's Still Your Go-To Database

May 28, 2025 By Jeremy Heller In Aiven
PostgreSQL, widely regarded as the world’s most advanced open-source relational database, continues to set the standard for performance, scalability, and flexibility in modern data infrastructure. While it has always been a top contender, each new release of PostgreSQL introduces powerful features and enhancements that make it an even more compelling choice for developers, database administrators, and IT leaders alike.
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Aiven

PostgreSQL extensions you need to know in 2025

May 21, 2025 By Celeste Horgan In Aiven
PostgreSQL is by design lightweight and un-opinionated but its killer feature has long been its extensions ecosystem. The extensions ecosystem adapts and customizes PostgreSQL data storage and manipulation use cases, making it suitable for AI, analytics, document data stores and more. This flexibility keeps PostgreSQL viable as an option for any business or startup, as it’s hard to ‘outgrow’ PostgreSQL.
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Aiven

Kafka Tiered Storage in depth: How Reads and Deletes Flow (Prefetching, Caching)

May 2, 2025 By Stanislav Kozlovski In Aiven
In this article, we will be continuing our series of deep dives into KIP-405. Previously, we covered: Now, we turn our attention to the internals of the read and delete paths. Just like we did for the write and metadata, here we will also be focusing on Aiven’s battle-tested Apache-licensed KIP-405 plugin. What makes the read path particularly interesting is how it delivers latency comparable to local disk or memory systems despite leveraging external object storage—let's dive in!
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Aiven

PostgreSQL vs. AlloyDB Omni: understanding the differences

Apr 25, 2025 By Celeste Horgan In Aiven
With the introduction of Aiven for AlloyDB Omni, many of our customers have wondered what the difference is between AlloyDB Omni and its architectural source project, open source PostgreSQL. AlloyDB Omni is more than just a re-implementation of PostgreSQL, and understanding how it is similar – and how it differs – from open source PostgreSQL is a valuable exercise.
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Aiven

The Hitchhiker's guide to Diskless Kafka

Apr 23, 2025 By Filip Yonov In Aiven
KIP-1150 isn’t a distant, strange planet; it just reroutes Kafka’s entire replication pathway from broker disks to cloud object storage. Flip one topic flag and your data bypasses local drives altogether: Because Diskless is built into Kafka (no client changes, no forks), we had to solve a 4D puzzle: How do you make a Diskless topic behave exactly like a Kafka one—inside the same cluster—without rewriting Kafka?
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