Amazon SageMaker vs. Databricks Comparison


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		Related Products Gemini platform Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows. 4.3 out of 5 stars 1,178 Ratings Visit Website for Gemini platform Runpod Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. 4.2 out of 5 stars 230 Ratings Visit Website for Runpod Anaconda Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. 4.4 out of 5 stars 626 Ratings Visit Website for Anaconda Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. 4.8 out of 5 stars 42 Ratings Visit Website for Google AI Studio Compute with Hivenet Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside hivenet compute. 5.0 out of 5 stars 4 Ratings Visit Website for Compute with Hivenet DataHub DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. 4.5 out of 5 stars 10 Ratings Visit Website for DataHub SCIKIQ SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE. SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform. Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace. Contextual Intelligence at the Core SCIKIQ goes beyond connecting data by helping AI understand the business context behind it. Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI. Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control. AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents. Why Enterprises Choose SCIKIQ AI-ready in 3–6 weeks \| 200+ connectors \| 99.9% availability \| No-code \| Multi-cloud \| No vendor lock-in \| No replatforming SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises. 4.6 out of 5 stars 14 Ratings Visit Website for SCIKIQ StackAI StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise 4.5 out of 5 stars 55 Ratings Visit Website for StackAI LM-Kit.NET LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. 4.8 out of 5 stars 29 Ratings Visit Website for LM-Kit.NET Bright Data Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant. 4.4 out of 5 stars 1,461 Ratings Visit Website for Bright Data
Amazon SageMaker: About Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.	Databricks: About The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
Amazon SageMaker: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Databricks: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Amazon SageMaker: Audience Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely	Databricks: Audience Organizations that want all their data, analytics and AI on one unified data platform
Amazon SageMaker: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Databricks: Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
Amazon SageMaker: API Offers API Supported	Databricks: API Offers API Supported
Amazon SageMaker: Screenshots and Videos View more images or videos	Databricks: Screenshots and Videos View more images or videos
Amazon SageMaker: Pricing Try free for two months Free Version Not Supported Free Trial Supported	Databricks: Pricing No information available. Free Version Supported Free Trial Supported
Amazon SageMaker: Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Databricks: Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Amazon SageMaker: Training Documentation Not Supported Webinars Not Supported Live Online Supported In Person Not Supported	Databricks: Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Amazon SageMaker: Company Information Amazon Founded: 1994 United States aws.amazon.com/sagemaker/	Databricks: Company Information Databricks Founded: 2013 United States databricks.com
Amazon SageMaker: Alternatives Gemini platform Google 4.3 out of 5 stars	Databricks: Alternatives Gemini platform Google 4.3 out of 5 stars
Amazon SageMaker: Anaconda 4.4 out of 5 stars	Databricks: DataHub 4.5 out of 5 stars
Amazon SageMaker: Amazon Bedrock Amazon	Databricks: SCIKIQ 4.6 out of 5 stars
Amazon SageMaker: Azure Machine Learning Microsoft	Databricks: Snowflake 4.8 out of 5 stars
Amazon SageMaker: Amazon SageMaker Unified Studio Amazon View All	Databricks: StarTree View All
Amazon SageMaker: Categories Agentic AI Supported AI Development Supported AI Fine-Tuning Supported AI Governance Supported AI Infrastructure Supported AI Tools Supported AI/ML Model Training Supported Artificial Intelligence Supported Data Catalog Supported Data Governance Supported Data Labeling Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Databricks: Categories AI Coding Agents Supported AI Data Analytics Supported AI Development Supported AI Governance Supported AI Tools Supported Artificial Intelligence Supported Big Data Supported Business Intelligence Supported Dashboard Supported Data Analysis Supported Data Catalog Supported Data Classification Supported Data Collaboration Supported Data Engineering Supported Data Fabric Supported Data Governance Supported Data Intelligence Supported Data Lake Supported Data Lineage Supported Data Management Supported Data Marketplaces Supported Data Modeling Supported Data Monetization Supported Data Pipeline Supported Data Science Supported Data Visualization Supported Data Warehouse Supported DataOps Supported ETL Supported Generative AI Supported LLM API Supported Machine Learning Supported ML Model Deployment Supported OLAP Databases Supported Query Engines Supported Real-Time Analytic Databases Supported Real-Time Data Streaming Supported Retrieval-Augmented Generation (RAG) Supported Vector Databases Supported
Amazon SageMaker: Show More Features Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Supported Supports Audio Files Supported Task Management Supported Team Collaboration Supported Training Data Management Supported	Databricks: Artificial Intelligence Features Chatbot Not Supported For eCommerce Supported For Healthcare Supported For Sales Supported Image Recognition Not Supported Machine Learning Supported Multi-Language Supported Natural Language Processing Supported Predictive Analytics Supported Process/Workflow Automation Supported Rules-Based Automation Supported Virtual Personal Assistant (VPA) Not Supported Data Governance Features Access Control Supported Data Discovery Supported Data Mapping Supported Data Profiling Supported Deletion Management Supported Email Management Not Supported Policy Management Not Supported Process Management Not Supported Roles Management Supported Storage Management Supported Machine Learning Features Deep Learning Supported ML Algorithm Library Supported Model Training Supported Natural Language Processing (NLP) Supported Predictive Modeling Supported Statistical / Mathematical Tools Supported Templates Supported Visualization Supported Show More Features Big Data Features Collaboration Supported Data Blends Supported Data Cleansing Supported Data Mining Supported Data Visualization Supported Data Warehousing Supported High Volume Processing Supported No-Code Sandbox Supported Predictive Analytics Supported Templates Supported Business Intelligence Features Ad Hoc Reports Supported Benchmarking Supported Budgeting & Forecasting Supported Dashboard Supported Data Analysis Supported Key Performance Indicators Supported Natural Language Generation (NLG) Supported Performance Metrics Supported Predictive Analytics Supported Profitability Analysis Supported Strategic Planning Supported Trend / Problem Indicators Supported Visual Analytics Supported Dashboard Features Annotations Supported Data Source Integrations Supported Functions / Calculations Supported Interactive Supported KPIs Supported OLAP Supported Private Dashboards Supported Public Dashboards Supported Scorecards Supported Themes Supported Visual Analytics Supported Widgets Supported Data Analysis Features Data Discovery Supported Data Visualization Supported High Volume Processing Supported Predictive Analytics Supported Regression Analysis Supported Sentiment Analysis Supported Statistical Modeling Supported Text Analytics Supported Data Fabric Features Data Access Management Supported Data Analytics Supported Data Collaboration Supported Data Lineage Tools Supported Data Networking / Connecting Not Supported Metadata Functionality Not Supported No Data Redundancy Not Supported Persistent Data Management Supported Data Lineage Features Database Change Impact Analysis Supported Filter Lineage Links Supported Implicit Connection Discovery Supported Lineage Object Filtering Supported Object Lineage Tracing Supported Point-in-Time Visibility Supported User/Client/Target Connection Visibility Supported Visual & Text Lineage View Supported Data Management Features Customer Data Supported Data Analysis Supported Data Capture Supported Data Integration Supported Data Migration Supported Data Quality Control Supported Data Security Supported Information Governance Supported Master Data Management Supported Match & Merge Supported Data Science Features Access Control Supported Advanced Modeling Supported Audit Logs Supported Data Discovery Supported Data Ingestion Supported Data Preparation Supported Data Visualization Supported Model Deployment Supported Reports Supported Data Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Supported Filtered Views Supported OLAP Supported Relational Display Supported Simulation Models Supported Visual Discovery Supported Data Warehouse Features Ad hoc Query Supported Analytics Supported Data Integration Supported Data Migration Supported Data Quality Control Supported ETL - Extract / Transfer / Load Supported In-Memory Processing Supported Match & Merge Supported ETL Features Data Analysis Supported Data Filtering Supported Data Quality Control Supported Job Scheduling Supported Match & Merge Supported Metadata Management Supported Non-Relational Transformations Supported Version Control Supported
Amazon SageMaker: Integrations APERIO DataWise Supported Acryl Data Supported Amazon Redshift Supported Amazon SageMaker Data Wrangler Supported Amazon SageMaker Feature Store Supported Amazon Web Services (AWS) Supported CognitiveScale Cortex AI Supported Cranium Supported DataHub Supported Flyte Supported Grok Bot Supported LiteLLM Supported MLflow Supported New Relic Supported OpenMetadata Supported Privacera Supported Qlik Staige Supported Ray Supported Taipy Supported Wallaroo.AI Supported Show More Integrations View All 119 Integrations	Databricks: Integrations APERIO DataWise Supported Acryl Data Supported Amazon Redshift Supported Amazon SageMaker Data Wrangler Supported Amazon SageMaker Feature Store Supported Amazon Web Services (AWS) Supported CognitiveScale Cortex AI Supported Cranium Supported DataHub Supported Flyte Supported Grok Bot Supported LiteLLM Supported MLflow Supported New Relic Supported OpenMetadata Supported Privacera Supported Qlik Staige Supported Ray Supported Taipy Supported Wallaroo.AI Supported Show More Integrations View All 444 Integrations
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