DDN Alternatives

Accelerate AI and HPC workloads with 10X more efficient infrastructure, effortless linear scaling, and 30x faster data transactions.
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SingleStore

If you're looking for a DDN alternative, SingleStore is worth a look. It's a real-time data platform that can handle petabytes of data with millisecond query performance, a good combination for smart applications. It's got high-throughput streaming data ingestion and supports multiple data models, which is good for complex analytics and AI jobs. SingleStore also has a universal store that combines columnstore and rowstore databases, and it can scale elastically with its cloud-based product, Helios.

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WEKA

Another alternative is WEKA, which is designed to store, process and manage data in the cloud and on-premises. It's got high performance, including 10M IOPS in the cloud, and can handle enormous amounts of data with linear scaling. WEKA is good for AI and HPC, financial services and media customers who want to break free of data silos and avoid parallel file system complexity, so it's a good candidate for your needs.

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MinIO

If you need high-performance object storage, check out MinIO. It's an open-source platform that's tuned for AI and machine learning workloads, with features like active-active, multi-site replication and industry-standard encryption. MinIO is designed to scale and is Kubernetes-native, so it integrates well with cloud and on-premises infrastructure. Its multi-cloud design means it's good for large-scale AI and ML jobs.

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Teradata

Last, Teradata has a cloud analytics and data platform that can span and harmonize data across an organization. With features like ClearScape Analytics and trusted AI, it can handle a variety of workloads including AI/ML, lakehouses and data warehouses. Teradata's platform is designed to accelerate innovation and help with data-driven decision-making, so it's a good candidate for managing complex data operations.

More Alternatives to DDN

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EDB Postgres AI

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

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Couchbase

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

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Webscale

Deploy applications milliseconds from end-users with Webscale's AI-driven Supercloud platform for maximum efficiency.

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HPE

Unlock the full potential of your data with HPE's edge-to-cloud solutions and AI technology.

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Airbyte

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

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BigID

Scalable and accurate discovery and classification of sensitive data across all environments, accelerating data security and privacy with AI-powered tools.

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dstack

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

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Aiven

Unify data infrastructure management across multiple clouds, streamlining app development, security, and compliance, while optimizing cloud costs.

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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.

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Oracle Cloud Infrastructure

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

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Oracle Health

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

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Numenta

Run large AI models on CPUs with peak performance, multi-tenancy, and seamless scaling, while maintaining full control over models and data.

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Cerebras

Accelerate AI training with a platform that combines AI supercomputers, model services, and cloud options to speed up large language model development.

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Tanzu CloudHealth

Unifies financial management, operations, and collaboration across multiple clouds, providing visibility and optimization for resource usage and cost control.

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IBM Cloud

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

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Fivetran

Automate data replication from 500+ sources, transforming it for analytics, and enable real-time insights with seamless data integration and replication.

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Anyscale

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

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DataStax

Rapidly build and deploy production-ready GenAI apps with 20% better relevance and 74x faster response times, plus enterprise-grade security and compliance.

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Domino Data Lab

Unifies AI operations and knowledge across the enterprise, providing data scientists with flexible tools and IT with security and compliance controls.

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Qubinets

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