包阅导读总结
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关键词：Google、AlloyDB、PostgreSQL、Free Trial、Database
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总结：Google 推出 AlloyDB PostgreSQL 数据库免费试用，长达 30 天。AlloyDB 性能高，兼容开源 PostgreSQL，有多种特色功能。提供慷慨的试用配置，适用多种用户，但用户评价有好有坏，建议测试对比后采用。
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主要内容：
– Google 为其全托管的 PostgreSQL 兼容数据库服务 AlloyDB 推出免费试用计划
– 允许用户用自身工作负载测试 30 天
– 性能优势：在 HTAP 场景表现出色，比标准 PostgreSQL 快 4 倍
– 关键特性：99.99%可用性 SLA 等
– 免费试用配置：含 8 vCPU、64GB RAM 主实例和 1TB 区域存储
– 存储方面比部分竞品试用更慷慨
– 可通过多种方式访问试用集群
– Google 定位 AlloyDB 适用多种用户
– 用户评价有赞有弹
– 可通过特定链接开始试用，也有相关电子书提供更多信息
思维导图：
文章来源：infoq.com
作者：Matt Saunders
发布时间：2024/7/30 0:00
语言：英文
总字数：479字
预计阅读时间：2分钟
评分：83分
标签：AlloyDB,PostgreSQL,谷歌云,数据库管理,免费试用
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Google has announced a free trial program for AlloyDB, its fully-managed PostgreSQL-compatible database service. The trial allows users to test AlloyDB’s capabilities with their own workloads for up to 30 days.
AlloyDB is designed to provide high performance, particularly in HTAP scenarios, with scalability and reliability while maintaining full compatibility with open-source PostgreSQL. Google claims AlloyDB offers up to 4x faster transactional performance than standard PostgreSQL, potentially allowing users to run workloads on smaller instances and reduce costs.
Key features of AlloyDB include:
- 99.99% availability SLA
- Minimal downtime for planned operations
- Columnar engine for analytics
- AI-assisted capabilities for management and security
- Vector search capabilities
- Integration with Google’s Vertex AI and Gemini
The free trial provides users with a cluster containing an 8 vCPU, 64 GB RAM primary instance and 1 TB of regional storage. This offering is said to be more generous in terms of storage than some competitors’ trial programs. Users can access their trial clusters through various methods, including AlloyDB Studio in the console, PostgreSQL clients via public IP or Auth Proxy, or private IP for applications running in the user’s VPC.
Google positions AlloyDB as suitable for a range of users, including application developers, database administrators, businesses migrating from on-premises databases, startups, and data scientists working on AI applications.
While Google promotes AlloyDB as “the future of PostgreSQL,” it’s worth noting that other cloud providers offer similar managed PostgreSQL services. Amazon Web Services provides Amazon Aurora PostgreSQL-Compatible and Amazon RDS for PostgreSQL, while Microsoft Azure offers Azure Database for PostgreSQL. User muhaym on Reddit is complimentary towards AlloyDB:
It’s insanely good for analaytical workload, specially the ones with multiple joins – but it works like magic, I don’t know how, but it gets better automatically over time. On top of it, now I’m stuck, I need to move to AWS for different reason, and there’s no compatible alternative, I don’t think Aurora is as good as alloydb is today.
Furthermore, a presentation from 2022 from Taras Kloba suggests AlloyDB outperforms AWS Aurora and Azure Cosmos DB at similar price points.
User recurrence, however, is slightly less positive:
They pitched it as a massive performance boost but I did not see that in most of my tests. The 2X better perf on average did not materialize however for large tables the vector columns did have a massive improvement. However, it didn’t create vector columns for many of the places that I would have liked unfortunately.
Interested users can start their AlloyDB trial by visiting the Google Cloud console or signing up through the AlloyDB free trial link. Google has also released an e-book with more information about AlloyDB for those seeking additional details.
As with any database migration or new technology adoption, users are advised to thoroughly test their specific workloads and compare performance and costs with their current solutions and other available options in the market.
