Databricks Runtime
Cloud Platform as a Service (PaaS).
Some of the top features or benefits of Databricks Runtime are: Optimized Performance, Built-in Integrations, Enhanced Security, Up-to-date Libraries, and Collaboration Features. You can visit the info page to learn more.
Databricks Runtime Alternatives & Competitors
The best Databricks Runtime alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
Latest update:
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Nuclio is an open source serverless platform.
Key Nuclio features:
High Performance Scalability Integration with Kubernetes Multi-language Support
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Automatic, event-driven compute service.
Key AWS Lambda features:
Scalability Cost-effectiveness Reduced Operations Overhead Flexibility
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Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
Key Flagsmith features:
Feature Flags Remote Config A/B/X Testing & Optimization Organization Management
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Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.
Key Fission.io features:
Decentralized Hosting No Backend Required Portable and Interoperable Built-in Data Ownership
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Bringing serverless to containers.
Key Google Cloud Run features:
Scalability Ease of Use Serverless Cost-Effective
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Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.
Key Knative features:
Serverless Capabilities Kubernetes Integration Event-Driven Architecture Flexibility
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Key APeX features:
Comprehensive Data Analytics User-Friendly Interface Customizable Dashboards Real-Time Data Processing
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Dataphin is a unified PaaS platform for intelligent data creation and management, provides data integration, warehouse modeling, identity and profile distilling, asset management, and data services.
Key Dataphin features:
Comprehensive Data Management Scalability AI-Powered Insights Data Security
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AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. .
Key AWS Batch features:
Scalability Cost-Effectiveness No Infrastructure Management Flexible Job Definitions
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Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
Key Spot.io features:
Cost Savings Automation Multi-Cloud Support Enhanced Uptime
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Serverless / Task Processing.
Key Effe features:
User-Friendly Interface Cloud Sync Focus Mode Cross-Platform Availability
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A powerful platform to build web and mobile apps that scale automatically.
Key Google App Engine features:
Auto-scaling Managed environment Integrated services Multiple languages support
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As the leading cloud solutions provider, we’ve always done things differently. Across our outcome-driven consulting and managed services, it’s our software, our application focus and our cloud culture that makes the difference.
Key Cloudreach Services features:
Expertise Partnerships Scalability Global Presence
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Docker is an open platform that enables developers and system administrators to create distributed applications.
Key Docker features:
Portability Efficiency Isolation Scalability
Databricks Runtime discussion
