Amazon SageMaker vs. Databricks Data Intelligence Platform Comparison


Amazon SageMaker Amazon	Databricks Data Intelligence Platform Databricks	+	+
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		Related Products Vertex AI Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. 713 Ratings Visit Website 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. 133 Ratings Visit Website Google AI Studio Google AI Studio is a comprehensive, web-based development environment that democratizes access to Google's cutting-edge AI models, notably the Gemini family, enabling a broad spectrum of users to explore and build innovative applications. This platform facilitates rapid prototyping by providing an intuitive interface for prompt engineering, allowing developers to meticulously craft and refine their interactions with AI. Beyond basic experimentation, AI Studio supports the seamless integration of AI capabilities into diverse projects, from simple chatbots to complex data analysis tools. Users can rigorously test different prompts, observe model behaviors, and iteratively refine their AI-driven solutions within a collaborative and user-friendly environment. This empowers developers to push the boundaries of AI application development, fostering creativity and accelerating the realization of AI-powered solutions. 4 Ratings Visit Website OORT DataHub Data Collection and Labeling for AI Innovation. Transform your AI development with our decentralized platform that connects you to worldwide data contributors. We combine global crowdsourcing with blockchain verification to deliver diverse, traceable datasets. Global Network: Ensure AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity. Distributed and Transparent: Every piece of data is timestamped for provenance stored securely stored in the OORT cloud , and verified for integrity, creating a trustless ecosystem. Ethical and Responsible AI Development: Ensure contributors retain autonomy with data ownership while making their data available for AI innovation in a transparent, fair, and secure environment Quality Assured: Human verification ensures data meets rigorous standards Access diverse data at scale. Verify data integrity. Get human-validated datasets for AI. Reduce costs while maintaining quality. Scale globally. 13 Ratings Visit Website Stack AI AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. AI that answers questions, summarize, and extract insights from any document, no matter how long. Generate tags, summaries, and transfer styles or formats between documents and data sources. Developer teams use Stack AI to automate customer support, process documents, qualify sales leads, and search through libraries of data. Try multiple prompts and LLM architectures with the ease of a button. Collect data and run fine-tuning jobs to build the optimal LLM for your product. We host all your workflows as APIs so that your users can access AI instantly. Select from the different LLM providers to compare fine-tuning jobs that satisfy your accuracy, price, and latency needs. 16 Ratings Visit Website LM-Kit.NET LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications. The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text completion, Natural Language Processing (NLP), content retrieval, text summarization, text enhancement, language translation, and much more. Whether you are looking to enhance user interaction, automate content creation, or build intelligent data retrieval systems, LM-Kit.NET offers the flexibility and performance needed to accelerate your project. 16 Ratings Visit Website Ango Hub Ango Hub is the quality-centric, versatile all-in-one data annotation platform for AI teams. Available both on the cloud and on-premise, Ango Hub allows AI teams and their data annotation workforce to annotate their data quickly and efficiently, without compromising on quality. Ango Hub is the first and only data annotation platform focused on quality. It has features enhancing the quality of your team's annotations such as centralized labeling instructions, a real-time issue system, review workflows, sample label libraries, consensus up to 30 annotators on the same asset, and more. Ango Hub is also versatile. It supports all of the data types your team might need: image, audio, text, video, and native PDF. It has close to twenty different labeling tools you can use to annotate your data, among them some which are unique to Ango Hub such as rotated bounding boxes, unlimited conditional nested questions, label relations, and table-based labeling for more complex labeling tasks. 15 Ratings Visit Website Google Compute Engine Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. 1,114 Ratings Visit Website BytePlus Recommend Product recommendations tailored to your customers' preferences in a fully-managed service. BytePlus Recommend draws from our expertise in machine learning to offer dynamic and targeted recommendations. Our industry-leading team has a track record of delivering recommendations for some of the world’s most popular platforms. You can learn from the data of your users to engage them better, and provide personalized suggestions based on granular customer behavior. BytePlus Recommend is easy to use — leveraging your existing infrastructure as well as automating the machine learning workflow. BytePlus Recommend leverages our research in machine learning to deliver personalized recommendations tailored to your audience’s preferences. Our experienced and talented algorithm team provides customized strategies that adapt to evolving business needs and goals. Our pricing is based on results from A/B testing. Optimization goals are determined based on business demands. 1 Rating Visit Website Fraud.net Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow. The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Request your demo today and discover Fraudnet. 56 Ratings Visit Website
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.	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.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely	Audience Organizations that want all their data, analytics and AI on one unified data platform
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
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	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
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Amazon Founded: 1994 United States aws.amazon.com/sagemaker/	Company Information Databricks Founded: 2013 United States databricks.com
Alternatives Vertex AI Google	Alternatives Vertex AI Google
Amazon Rekognition Amazon	Kubit
AWS Lambda Amazon	Altair Monarch Altair
Azure Machine Learning Microsoft	Snowflake
Predibase View All	Narrative View All
Categories AI Development AI Fine-Tuning AI Governance AI Infrastructure Data Labeling Machine Learning ML Experiment Tracking ML Model Deployment	Categories AI Data Analytics AI Development AI Governance AI Tools Artificial Intelligence Big Data Business Intelligence Dashboard Data Analysis Data Catalog Data Classification Data Collaboration Data Engineering Data Fabric Data Governance Data Lake Data Lineage Data Management Data Marketplaces Data Modeling Data Monetization Data Pipeline Data Science Data Visualization Data Warehouse ETL LLM API Machine Learning ML Model Deployment OLAP Databases Query Engines Real-Time Analytic Databases Real-Time Data Streaming Retrieval-Augmented Generation (RAG) Vector Databases
Show More Features Data Labeling Features Human-in-the-loop Labeling Automation Labeling Quality Performance Tracking Polygon, Rectangle, Line, Point SDK Supports Audio Files Task Management Team Collaboration Training Data Management	Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization Show More Features Artificial Intelligence Features Chatbot For eCommerce For Healthcare For Sales Image Recognition Machine Learning Multi-Language Natural Language Processing Predictive Analytics Process/Workflow Automation Rules-Based Automation Virtual Personal Assistant (VPA) Big Data Features Collaboration Data Blends Data Cleansing Data Mining Data Visualization Data Warehousing High Volume Processing No-Code Sandbox Predictive Analytics Templates Business Intelligence Features Ad Hoc Reports Benchmarking Budgeting & Forecasting Dashboard Data Analysis Key Performance Indicators Natural Language Generation (NLG) Performance Metrics Predictive Analytics Profitability Analysis Strategic Planning Trend / Problem Indicators Visual Analytics Dashboard Features Annotations Data Source Integrations Functions / Calculations Interactive KPIs OLAP Private Dashboards Public Dashboards Scorecards Themes Visual Analytics Widgets Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Data Fabric Features Data Access Management Data Analytics Data Collaboration Data Lineage Tools Data Networking / Connecting Metadata Functionality No Data Redundancy Persistent Data Management Data Governance Features Access Control Data Discovery Data Mapping Data Profiling Deletion Management Email Management Policy Management Process Management Roles Management Storage Management Data Lineage Features Database Change Impact Analysis Filter Lineage Links Implicit Connection Discovery Lineage Object Filtering Object Lineage Tracing Point-in-Time Visibility User/Client/Target Connection Visibility Visual & Text Lineage View Data Management Features Customer Data Data Analysis Data Capture Data Integration Data Migration Data Quality Control Data Security Information Governance Master Data Management Match & Merge Data Science Features Access Control Advanced Modeling Audit Logs Data Discovery Data Ingestion Data Preparation Data Visualization Model Deployment Reports Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control
Integrations APERIO DataWise Acryl Data Amazon SageMaker Data Wrangler Amazon SageMaker Feature Store Amazon Web Services (AWS) CognitiveScale Cortex AI Flyte LiteLLM MLflow New Relic Okera Orchestra Pinecone Rerank v0 Privacera Qlik Staige Ray Robust Intelligence Taipy Wallaroo.AI Wizata Show More Integrations View All 109 Integrations	Integrations APERIO DataWise Acryl Data Amazon SageMaker Data Wrangler Amazon SageMaker Feature Store Amazon Web Services (AWS) CognitiveScale Cortex AI Flyte LiteLLM MLflow New Relic Okera Orchestra Pinecone Rerank v0 Privacera Qlik Staige Ray Robust Intelligence Taipy Wallaroo.AI Wizata Show More Integrations View All 287 Integrations
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