Question: Is there a cloud-based platform that can help me unify my data environment, conduct complex analysis, and deploy custom applications in a secure and scalable way?

Cloudera screenshot thumbnail

Cloudera

If you want a cloud-based foundation to span your data environment, perform complex analysis and run custom applications in a secure, scalable way, Cloudera is a strong contender. The company's hybrid data platform securely ingests, processes and analyzes data in the cloud and on-premises environments. With a range of data services -- ingest, prepare, analyze, predict and publish -- it can provide real-time insights, automated data pipelines and large-scale application deployment. And with an Apache Iceberg foundation, it's designed to keep data reliable and flexible.

Teradata screenshot thumbnail

Teradata

Another powerful option is Teradata, which offers a cloud analytics and data platform that integrates and harmonizes data across an enterprise. Its core product, ClearScape Analytics, provides faster answers and a clear view of your data. The platform can support multiple workloads and can be deployed in public cloud, hybrid cloud or on-premises environments. Teradata supports AI/ML, lakehouses, data lakes, data warehouses and more, so it's a flexible option for optimizing resources and making data-driven decisions.

Snowflake screenshot thumbnail

Snowflake

For those who want a cloud-based foundation for collaboration and data-driven application development, Snowflake is a good option. Snowflake combines data, applications and AI capabilities into a single cloud-based system to improve productivity and enable data-driven decision-making. It supports a broad range of workloads, so it can accommodate different business needs and increase data usage and insights.

IBM Cloud screenshot thumbnail

IBM Cloud

Last, IBM Cloud is a broad enterprise cloud platform geared for highly regulated industries. It offers a secure, resilient and high-performance foundation for applications with AI and machine learning abilities. Key features include security and compliance, easy scaling for AI workloads, and a broad range of products and solutions geared for industries like financial services and healthcare.

Additional AI Projects

Aiven screenshot thumbnail

Aiven

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

Oracle Health screenshot thumbnail

Oracle Health

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

SnapLogic screenshot thumbnail

SnapLogic

Automates data flows and application integration across enterprises, converting business intent into technical delivery through natural language prompts and pre-built connections.

Collibra screenshot thumbnail

Collibra

Automate data discovery, governance, and quality control to increase productivity, reduce risk, and unlock business value from trusted data.

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.

VMware Tanzu screenshot thumbnail

VMware Tanzu

Provides AI-powered app visibility, one-click deployment, and automated security across multiple clouds and platforms, streamlining software delivery and management.

Fivetran screenshot thumbnail

Fivetran

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

ThoughtSpot screenshot thumbnail

ThoughtSpot

Ask complex data questions in natural language and get instant AI-powered insights, empowering informed business decisions without requiring SQL or data expertise.

Snowplow screenshot thumbnail

Snowplow

Capture and process behavioral data with customizable event and entity definitions, enabling AI, advanced analytics, and personalized customer experiences.

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.

Secoda screenshot thumbnail

Secoda

Unifies data catalog, lineage, governance, and monitoring, with AI-powered search, automated workflows, and contextual answers to complex data questions.

Hex screenshot thumbnail

Hex

Unify data teams with AI-assisted exploration, collaboration, and interactive reporting, accelerating data work and improving accuracy in a single, modular workspace.

Sigma screenshot thumbnail

Sigma

Combines spreadsheet-like data analysis with large-scale data handling, integrating trusted AI models for secure, auditable, and collaborative decision-making workflows.

Qubinets screenshot thumbnail

Qubinets

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

Cube screenshot thumbnail

Cube

Unifies business intelligence, AI agents, and embedded analytics with a single source of truth for data, enabling seamless integration and context-driven insights.

Couchbase screenshot thumbnail

Couchbase

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

Webscale screenshot thumbnail

Webscale

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

Unisys screenshot thumbnail

Unisys

Combines AI, advanced analytics, and quantum computing to enable near-real-time decision-making and optimize logistics management, application modernization, and employee experiences.

Sumo Logic screenshot thumbnail

Sumo Logic

Unifies log analytics, infrastructure monitoring, and security in one platform, using AI-powered troubleshooting to quickly identify and resolve issues.

Securiti screenshot thumbnail

Securiti

Provides unified intelligence and controls across hybrid multicloud environments, enabling safe and compliant use of data and AI.