Question: Do you know of a cloud-native object storage system that supports multi-cloud deployment and is compatible with Amazon S3?

MinIO screenshot thumbnail

MinIO

If you're in the market for a cloud-native object storage system that can span multiple clouds and integrate with Amazon S3, MinIO is a top contender. It's an open-source, high-performance system for cloud-native workloads, especially artificial intelligence and machine learning. MinIO is designed to scale, is Kubernetes-native, and supports active-active, multi-site replication. It also has features like industry-standard encryption, object immutability, and identity and access management with AWS IAM compatibility. That makes it a good fit for big AI/ML workloads, data lakes and databases.

Aiven screenshot thumbnail

Aiven

Another strong contender is Aiven, a unified, cloud-agnostic platform that makes it easier to manage cloud data infrastructure. Aiven offers a range of open-source technologies like Apache Kafka, PostgreSQL and OpenSearch, and runs them on multiple clouds, including AWS, Google and Azure. With features like transparent pricing, strong security and high availability, Aiven is good for companies that want to simplify data infrastructure management and accelerate app development.

MotherDuck screenshot thumbnail

MotherDuck

For a more data-centric option, MotherDuck is a cloud-based data warehouse that improves on the performance of DuckDB with cloud-scale processing. It supports hybrid query execution, user-level tenancy and several object storage systems including AWS S3. MotherDuck is geared for data teams and app developers looking for a fast, efficient and scalable foundation for data applications.

Additional AI Projects

Pulumi screenshot thumbnail

Pulumi

Generate infrastructure code with AI-powered natural language prompts, streamlining development and deployment across multiple cloud providers.

Oracle Cloud Infrastructure screenshot thumbnail

Oracle Cloud Infrastructure

Run any application faster, more securely, and for less with Oracle Cloud Infrastructure.

dstack screenshot thumbnail

dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.

Cloudera screenshot thumbnail

Cloudera

Unifies and processes massive amounts of data from multiple sources, providing trusted insights and fueling AI model development across cloud and on-premises environments.

IBM Cloud screenshot thumbnail

IBM Cloud

Supports high-performance AI workloads with a secure, resilient, and scalable foundation, enabling responsible AI workflows and integration of all data sources.

Teradata screenshot thumbnail

Teradata

Unifies and harmonizes all data across an organization, providing transparency and speed, and enabling faster innovation and collaboration.

Oracle Health screenshot thumbnail

Oracle Health

Oracle's integrated cloud stack delivers consistent processes and data across the enterprise efficiently.

Airbyte screenshot thumbnail

Airbyte

Seamlessly integrate data from 300+ sources to destinations, with features like custom connector building, unstructured data extraction, and automated schema evolution.

Qubinets screenshot thumbnail

Qubinets

Automates setup and management of open-source data infrastructure, letting developers focus on code, not infrastructure, for faster project deployment.

Anyscale screenshot thumbnail

Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

Matillion screenshot thumbnail

Matillion

Create data pipelines with no-code ELT, leveraging AI to process unstructured data, and automate tasks with centralized visibility and security.

Logz.io screenshot thumbnail

Logz.io

Accelerate troubleshooting with AI-powered features, including chat with data, anomaly detection, and alert recommendations, to resolve issues up to three times faster.

Dataiku screenshot thumbnail

Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

Aqua screenshot thumbnail

Aqua

Protects cloud native applications from development to production with integrated security features, including event-based scanning, container security, and detection and response.

Salad screenshot thumbnail

Salad

Run AI/ML production models at scale with low-cost, scalable GPU instances, starting at $0.02 per hour, with on-demand elasticity and global edge network.

Similarix screenshot thumbnail

Similarix

Adds a lightweight AI layer to your S3 bucket storage, enabling intelligent search, semantic search, and deduplication for efficient digital asset management.

Scaleway screenshot thumbnail

Scaleway

Scaleway offers a broad range of cloud services for building, training, and deploying AI models.

EDB Postgres AI screenshot thumbnail

EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

Couchbase screenshot thumbnail

Couchbase

Unlocks high-performance, flexible, and cost-effective AI-infused applications with a memory-first architecture and AI-assisted coding.

SingleStore screenshot thumbnail

SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

Deepnote screenshot thumbnail

Deepnote

Combines Python, SQL, and no-code tools with AI-powered code completion to explore, analyze, and share data, boosting productivity and simplifying analysis.