• Home
  • Categories
  • Tags
  • Pricing
  • Submit
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Tags
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies
    Decorative pattern
    Decorative pattern
    1. Home
    2. Cloud Services
    3. Amazon Aurora Serverless v2

    Amazon Aurora Serverless v2

    An on-demand, auto-scaling configuration for Amazon Aurora DB instances that automatically adjusts compute and memory capacity based on load, integrated with Knowledge Bases for Amazon Bedrock to simplify vectorization and database capacity management.

    🌐Visit Website

    About this tool

    Surveys

    Loading more......

    Information

    Websiteaws.amazon.com
    PublishedJul 1, 2025

    Categories

    1 Item
    Cloud Services

    Tags

    3 Items
    #Cloud Native#Serverless#Aws

    Similar Products

    6 result(s)
    vector engine for OpenSearch Serverless
    Featured

    An on-demand serverless configuration for OpenSearch Service that simplifies the operational complexities of managing OpenSearch domains, integrated with Knowledge Bases for Amazon Bedrock to support generative AI applications.

    LanceDB Cloud

    Fully managed serverless vector database service with automatic scaling and infrastructure management. Seamless transition from LanceDB OSS with the same SDK, starting at $16.03/month with $100 free credits.

    Neon Serverless Postgres
    Featured

    Serverless PostgreSQL platform with native pgvector support, autoscaling, scale-to-zero, and branching capabilities. Separates compute from storage enabling instant provisioning and cost-effective vector database deployments for AI applications with millisecond cold starts.

    Amazon Aurora Machine Learning
    Featured

    A feature of Amazon Aurora that enables making calls to ML models like Amazon Bedrock or Amazon SageMaker through SQL functions, allowing direct generation of embeddings within the database and abstracting the vectorization process.

    Turbopuffer

    Serverless vector and full-text search database built on object storage with sub-10ms p50 latency. 10x cheaper than alternatives while hosting 2.5T+ documents and serving 10k+ queries per second.

    AWS OpenSearch k-NN

    Managed OpenSearch service with k-nearest neighbor search capabilities. Uses HNSW, Faiss, and Lucene libraries for approximate nearest neighbor searches. This is a commercial managed service.

    Amazon Aurora Serverless v2

    Amazon Aurora Serverless v2 is an on-demand, auto-scaling configuration for Amazon Aurora DB instances. It automatically adjusts compute and memory capacity based on load, starting up, shutting down, and scaling capacity up or down as needed. This eliminates the need for manual database instance management, allowing users to run their database in the cloud without managing any database instances. It can be used alongside provisioned instances in existing or new database clusters.

    Features

    • On-Demand & Auto-Scaling: Automatically starts, shuts down, and scales capacity based on application needs, instantly scaling to hundreds of thousands of transactions in a fraction of a second. It adjusts capacity in fine-grained increments to provide the right amount of database resources.
    • No Database Capacity Management: Eliminates the need to manually manage database instances or provision for peak loads.
    • Cost-Effective: Users pay on a per-second basis for the database capacity used when active, potentially saving up to 90% compared to provisioning for peak load.
    • Workload Versatility: Supports a wide range of database workloads, including development and test environments, websites, applications with infrequent, intermittent, or unpredictable workloads, and demanding, business-critical applications requiring high scale and high availability.
    • Full Aurora Feature Support: Supports all Aurora features, including global database, Multi-AZ deployments, and read replicas.
    • Engine Compatibility: Available for Amazon Aurora MySQL-Compatible Edition and PostgreSQL-Compatible Edition.
    • High Availability & Durability: Designed for high availability and data durability.
    • Simplicity & Transparency: Offers a simple and transparent database management experience.

    Use Cases

    • Variable Workloads: Ideal for infrequently used applications with short, intense peaks (e.g., human resources, budgeting, or operational reporting applications), eliminating the need to provision for peak capacity.
    • Unpredictable Workloads: Suitable for applications with fluctuating daily usage and unpredictable activity spikes (e.g., a traffic site seeing a surge of activity), automatically scaling to meet demand.
    • Enterprise Database Fleet Management: Simplifies resource management for large fleets of databases by automatically adjusting capacity based on application demand, reducing the burden of manual monitoring and adjustment across hundreds or thousands of databases.
    • Software as a Service (SaaS) Applications: Beneficial for SaaS vendors managing numerous databases per customer, improving utilization and cost efficiency by automating capacity adjustments within a single cluster.

    Pricing

    Pricing information was not provided in the source content.