Question: I need a scalable architecture for building data apps that can be easily integrated with cloud infrastructure services like AWS, Azure, or GCP.

Dash screenshot thumbnail

Dash

If you're looking for a scalable architecture for building data apps that can be easily integrated with cloud infrastructure services like AWS, Azure, or GCP, Dash is a great option. This Python library is designed for building interactive data applications that scale. It features a simple installation process, one-click deployment, and a scalable architecture that can be installed on any cloud VPC. Dash also offers low-code development, AI and ML integration, and the ability to build AI and ML-powered apps, making it well-suited for data scientists and engineers.

Anyscale screenshot thumbnail

Anyscale

Another strong candidate is Anyscale, a platform for developing, deploying, and scaling AI applications. It offers unmatched performance and efficiency with features like workload scheduling, cloud flexibility across multiple clouds, smart instance management, and heterogeneous node control. Anyscale supports a wide range of AI models and includes native integrations with popular IDEs, persisted storage, and Git integration, making it an excellent choice for companies looking to optimize resource utilization and save on costs.

Databricks screenshot thumbnail

Databricks

For a data intelligence platform that combines generative AI, Databricks is a notable choice. It allows users to build, deploy, and operate AI applications directly on their data while maintaining control and privacy. Databricks supports a wide range of tools and integrations, including ETL, data ingestion, business intelligence, and AI, and is built on a lakehouse architecture for scalable and unified data management. This platform is designed to democratize insights through natural language and provide cost-effective operations.

Streamlit screenshot thumbnail

Streamlit

Lastly, Streamlit offers an open-source Python framework for building interactive data apps without front-end expertise. It supports a broad range of categories including data visualization, geography, finance, and more, and integrates with many tools like Pandas and Vega-Lite. Streamlit apps can be deployed instantly, either locally or through its Community Cloud, making it a flexible and accessible option for data scientists and AI/ML engineers.

Additional AI Projects

dstack screenshot thumbnail

dstack

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

Aiven screenshot thumbnail

Aiven

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

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.

Teradata screenshot thumbnail

Teradata

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

MindsDB screenshot thumbnail

MindsDB

Connects data to AI with 200+ integrations, allowing developers to create tailored AI solutions using their own enterprise data and multiple AI engines.

Snowflake screenshot thumbnail

Snowflake

Scalable data cloud for collaborative data management and application development, enabling companies to tap into flexible and reliable technology for large-scale data handling.

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.

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.

Power Apps screenshot thumbnail

Power Apps

Build AI-infused apps quickly and easily with a low-code platform, starting with a prompt, photo, or data set, and automating development with AI suggestions.

Abacus.AI screenshot thumbnail

Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

Anaconda screenshot thumbnail

Anaconda

Accelerate AI development with industry-specific solutions, one-click deployment, and AI-assisted coding, plus access to open-source libraries and GPU-enabled workflows.

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.

Dataloop screenshot thumbnail

Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

DataStax screenshot thumbnail

DataStax

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

GoodData screenshot thumbnail

GoodData

Quickly build custom data products with interactive analytics abilities, leveraging AI-powered features like a no-code interface and chat assistant for effortless insights.

Altair RapidMiner screenshot thumbnail

Altair RapidMiner

Provides a single, enterprise-scale data science platform for diverse users, offering code-free to code-friendly experiences, explainable models, and scalable deployment.

C3 AI screenshot thumbnail

C3 AI

Access a broad range of pre-built, enterprise-scale AI applications across industries, accelerating digital transformation and delivering results in weeks.

Vespa screenshot thumbnail

Vespa

Combines search in structured data, text, and vectors in one query, enabling scalable and efficient machine-learned model inference for production-ready applications.

DataChat screenshot thumbnail

DataChat

Access complex data insights without coding, using a familiar chat and spreadsheet interface to generate transparent, reproducible results.

Aible screenshot thumbnail

Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.