Peak vs. Cody Comparison Chart

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.

Flowspace is the fulfillment operations solution built for fast-growing, omnichannel brands. Our platform streamlines inventory tracking, order management, and multi-location network control into one scalable, intelligent system. With features like the Network Optimization System (NOS), FlowspaceAI, and smart order routing, you gain real-time data visibility and ensure inventory is always where it needs to be—improving speed and cutting costs. Seamless integrations with Shopify, Amazon, Walmart, and retail-ready EDI keep your operations connected. API support and cross-team support drive smarter decisions and efficient workflows. Experience truly frictionless fulfillment, optimized for growth, omnichannel reach, and exceptional customer experiences.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.

Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.

Retool is an AI-powered platform that enables teams to build internal software, agents, and workflows faster using natural language and composable building blocks. It allows users to go from a simple prompt to a fully deployed application that works with their existing data, systems, and business rules. Retool connects seamlessly to databases, APIs, LLMs, and external tools to create production-ready applications. The platform supports building AI agents, dashboards, workflows, and full-stack internal apps with flexibility and control. Teams can design interfaces visually, customize logic with code, or generate components using AI assistance. Retool integrates with modern developer workflows, including version control, CI/CD, and testing. Overall, it helps organizations reduce development time while maintaining enterprise-grade security and reliability.

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.

Propel is a cloud-native platform that unifies PLM, QMS, and PIM in one connected system, giving manufacturers complete visibility and control across the entire product lifecycle. It provides a single source of truth for product data, streamlines change management, strengthens quality and compliance, and accelerates time-to-market by eliminating silos. With real-world AI use cases and enterprise-grade security, Propel helps organizations reduce errors and improve cross-functional alignment. Agentic AI accelerates change reviews, surfaces BOM and quality risks, enriches product information, and guides decisions—while role-based permissions and audit trails protect IP. From design through manufacturing and commercialization, Propel empowers companies to deliver innovative, high-quality products faster with greater confidence. Each module deploys independently with no required dependencies.

NMI Payments is an embedded payments solution that lets SaaS platforms, Software companies and ISVs integrate, brand, and manage payment acceptance directly within their software—without becoming a PayFac or building complex infrastructure. As a full-stack processor, acquirer, and technology partner, NMI handles onboarding, compliance, and risk so you can stay focused on growth. The modular, white-label platform supports omnichannel payments, from online, mobile and in-app to in-store and unattended. Choose from full-code, low-code, or no-code integration paths and launch in weeks, not months. Built-in risk tools, flexible monetization, and customizable branding help you scale faster while keeping full control of your experience. With NMI’s developer-first tools, sandbox testing, and modern APIs, you can embed payments quickly and confidently.

NeuBird’s flagship product, Hawkeye (Agentic AI SRE), is an AI-powered Site Reliability Engineering platform that transforms IT operations by continuously monitoring telemetry from across your observability stack, logs, metrics, traces, alerts, and incident tickets, to detect issues, analyze root causes, and propose or automate practical remediation in real time without requiring manual investigation. Built for enterprise-grade environments, Hawkeye integrates securely with existing monitoring and incident management tools (such as DataDog, Splunk, PagerDuty, Prometheus, ServiceNow, AWS CloudWatch, Azure Monitor, and more), correlates signals across disparate sources, and reasons contextually like a human engineer to surface actionable insights and reduce mean time to resolution (MTTR) by up to ~90%. It is always-on and can be deployed as SaaS or in a customer’s VPC with enterprise security controls, providing autonomous incident response, pattern recognition, etc.