Find and compare the best Artificial Intelligence software for Snowflake in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Snowflake on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Ray
Anyscale
FreeYou can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution. -
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Dagster
Dagster Labs
$0Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. -
3
Metacoder
Wazoo Mobile Technologies LLC
$89 per user/month Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data. -
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Clay
Clay
$149 per monthClay is the AI-driven data marketplace and orchestration layer that powers modern go-to-market teams. Clay enables teams to find and qualify prospects with AI agents and intent signals, enrich their CRM with best-in-class accuracy and fill rates from 150+ data providers and AI, and orchestrate GTM workflows such as ABM, outbound, and pre-call meeting notes. Over 5,000+ companies, like OpenAI, Canva, Anthropic, and Rippling, use it to power everything from recurring CRM enrichment to targeted outreach. Find accounts with a burning need for your product. Analyze your closed-won list of top customers to narrow your ICP and find lookalikes of your best fit customers from multiple sources. Use AI to build the most sophisticated scoring and qualification logic. Continuously source new qualified leads so sales and marketing teams can continue to take actions such as creating Ads or launching outbound. Enrich with accuracy no single provider can match. Trusted data improves every part of your GTM engine. Clay’s waterfall enrichment approach across 150+ data sources combines multiple providers to result in higher fill rates at lower cost. Automatically run enrichments and sync data directly to your CRM or data warehouse while avoiding duplicates. The results of waterfalling providers speak for themselves: OpenAI doubled their inbound lead enrichment coverage rates and Anthropic tripled their inbound lead match rate. Orchestrate plays that convert accounts from aware to closed. Score accounts by fit and engagement, then build ABM tiers that move prospects through your funnel. When accounts hit intent thresholds—pricing page visits, job changes, webinar attendance—alert reps instantly or trigger multi-channel campaigns at scale including outbound with Clay’s sequencer. -
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Microsoft Fabric
Microsoft
$156.334/month/ 2CU Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance. -
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Union Cloud
Union.ai
Free (Flyte)Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness. -
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Tabula
Retable, Inc.
$20🚀 Tabula is an end-to-end data automation platform that enables true collaboration between business and data teams. The drag-and-drop interface allows both tech and non-technical teams to understand and talk data. ⛰ Tabula is designed for growth: As your organization grows, so too will your data. Tabula robust architecture allows handling increasing volumes of data ensuring your data management processes scale along with your business. 🤖 Tabula improves overall team data literacy by providing everyone in a company with a personal AI assistant. -
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Zerve AI
Zerve AI
$0Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments. -
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Cognee
Cognee
$25 per monthCognee is an innovative open-source AI memory engine that converts unprocessed data into well-structured knowledge graphs, significantly improving the precision and contextual comprehension of AI agents. It accommodates a variety of data formats, such as unstructured text, media files, PDFs, and tables, while allowing seamless integration with multiple data sources. By utilizing modular ECL pipelines, Cognee efficiently processes and organizes data, facilitating the swift retrieval of pertinent information by AI agents. It is designed to work harmoniously with both vector and graph databases and is compatible with prominent LLM frameworks, including OpenAI, LlamaIndex, and LangChain. Notable features encompass customizable storage solutions, RDF-based ontologies for intelligent data structuring, and the capability to operate on-premises, which promotes data privacy and regulatory compliance. Additionally, Cognee boasts a distributed system that is scalable and adept at managing substantial data volumes, all while aiming to minimize AI hallucinations by providing a cohesive and interconnected data environment. This makes it a vital resource for developers looking to enhance the capabilities of their AI applications. -
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Supaboard
Supaboard
$99 per monthSupaboard is an innovative business intelligence solution that leverages artificial intelligence to empower users to analyze their data and craft real-time dashboards simply by posing questions in everyday language. It allows for seamless one-click integration with more than 60 different data sources such as MySQL, PostgreSQL, Google Analytics, Shopify, Salesforce, and Notion, enabling users to harmonize their data effortlessly without complicated configurations. With pre-trained AI analysts tailored to specific industries, the platform automatically generates SQL and NoSQL queries, delivering quick insights through visual formats like charts, tables, and summaries. Users can easily create and customize dashboards by pinning their inquiries and adjusting the information presented according to various audience needs through filtered views. Supaboard prioritizes data security by only connecting with read-only permissions, retaining only schema metadata, and utilizing detailed access controls to safeguard information. Built with user-friendliness in mind, it significantly reduces operational complexity, allowing businesses to make informed decisions up to ten times faster, all without the necessity for coding skills or advanced data knowledge. Furthermore, this platform empowers teams to become more agile in their data-driven strategies, ultimately enhancing overall business performance. -
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Adapt
Adapt.com
$500/month Adapt is an advanced AI-driven platform built to act as a unified digital workspace for modern teams, enabling seamless interaction with multiple business tools. It connects to a wide range of systems, including analytics platforms, CRMs, and internal databases, allowing users to retrieve insights instantly. Through simple natural language queries, teams can access data, generate reports, and automate processes without needing technical expertise. The platform intelligently gathers context from integrated tools and routes requests to the most suitable AI models for accurate results. Adapt also empowers organizations to create internal applications and dashboards that consolidate key metrics in one place. By operating directly within Slack or through its web interface, it fits naturally into existing workflows and reduces friction in daily operations. Businesses benefit from faster decision-making, improved collaboration, and fewer interruptions to technical teams. Additionally, Adapt minimizes repetitive data requests by centralizing knowledge access across departments. Its automation capabilities help teams execute tasks more efficiently, from marketing analytics to engineering workflows. With enterprise-grade security, including encryption, compliance certifications, and strict data controls, Adapt prioritizes data privacy and trust. -
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Etlworks
Etlworks
$300 per monthEtlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised. -
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DreamFactory
DreamFactory Software
$1500/month DreamFactory is a REST API Management Platform. Auto Generate REST APIs. A cloud-based or on-premise API generation platform that is enterprise-grade. Instantly generate database APIs to build faster applications. The biggest bottleneck in modern IT is eliminated. Your project can be launched in weeks instead of months. DreamFactory creates a secure, standardized and reusable, fully documented, live REST API. DreamFactory can integrate any SQL or NoSQL file storage system or SOAP service. It instantly creates a RESTAPI with Swagger documentation, user role, and more. Every API endpoint is secured with User Management, Role Based Access Controls, SSO Authentication and Swagger documentation. Rapidly create mobile, web and IoT apps using REST-based APIs. DreamFactory offers example apps for iOS, Android and Titanium. -
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Immuta
Immuta
Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals. -
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Toucan
Toucan
Toucan, a customer-facing platform for analytics, empowers organizations to drive engagement and provide the best possible end-user experience. Toucan makes it simple, from data connections to the distribution and sharing of insights wherever they are needed. Toucan analytics are 3x more popular than the industry average. With hundreds of connectors, users can connect to any cloud-based or stored data. Data readiness features make data preparation easy for business people. They can perform tasks that would normally require an expert. Visualization can be described as "data storytelling", where every chart is accompanied with context, collaboration and annotation to help users understand the "why" behind their data. Finally, deployment and management are easy with one-touch deployment, from staging to production, easy embedding and publishing to any device. -
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MindsDB
MindsDB
MindsDB is the only AGI data solution that connects and unifies petabyte scale enterprise data, enabling enterprise-wide informed decision-making in real-time. -
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Explorium
Explorium
$50K/year Explorium is a data science platform that combines automatic data discovery with feature engineering. Explorium empowers data scientists and business executives to make better decisions by automatically connecting to thousands external data sources (premium and partner) and using machine learning to extract the most relevant signals. Try it for free at www.explorium.ai/free-trial -
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Skypoint AI Platform
SkyPoint Cloud
$24,995/month The Skypoint AI Platform serves as a robust data and artificial intelligence solution tailored for sectors that are heavily regulated, such as healthcare, finance, and government, facilitating smooth data integration alongside sophisticated AI-driven automation. Constructed on a flexible data lakehouse architecture, this platform merges both structured and unstructured data into a unified source of truth while prioritizing governance, security, and compliance measures. With comprehensive AI capabilities, it encompasses business intelligence, AI agents, and collaborative tools, empowering organizations to optimize their operations and enhance decision-making processes. By utilizing compound AI systems that incorporate specialized language models, retrieval mechanisms, and external resources, Skypoint provides customized, intelligent solutions aimed at addressing specific industry challenges. Furthermore, its innovative approach ensures that organizations can adapt to evolving regulatory requirements while maximizing efficiency and insights. -
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JetBrains Datalore
JetBrains
$19.90 per monthDatalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time. -
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Flyte
Union.ai
FreeFlyte is a robust platform designed for automating intricate, mission-critical data and machine learning workflows at scale. It simplifies the creation of concurrent, scalable, and maintainable workflows, making it an essential tool for data processing and machine learning applications. Companies like Lyft, Spotify, and Freenome have adopted Flyte for their production needs. At Lyft, Flyte has been a cornerstone for model training and data processes for more than four years, establishing itself as the go-to platform for various teams including pricing, locations, ETA, mapping, and autonomous vehicles. Notably, Flyte oversees more than 10,000 unique workflows at Lyft alone, culminating in over 1,000,000 executions each month, along with 20 million tasks and 40 million container instances. Its reliability has been proven in high-demand environments such as those at Lyft and Spotify, among others. As an entirely open-source initiative licensed under Apache 2.0 and backed by the Linux Foundation, it is governed by a committee representing multiple industries. Although YAML configurations can introduce complexity and potential errors in machine learning and data workflows, Flyte aims to alleviate these challenges effectively. This makes Flyte not only a powerful tool but also a user-friendly option for teams looking to streamline their data operations. -
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JFrog ML
JFrog
JFrog ML (formerly Qwak) is a comprehensive MLOps platform that provides end-to-end management for building, training, and deploying AI models. The platform supports large-scale AI applications, including LLMs, and offers capabilities like automatic model retraining, real-time performance monitoring, and scalable deployment options. It also provides a centralized feature store for managing the entire feature lifecycle, as well as tools for ingesting, processing, and transforming data from multiple sources. JFrog ML is built to enable fast experimentation, collaboration, and deployment across various AI and ML use cases, making it an ideal platform for organizations looking to streamline their AI workflows. -
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Airbyte
Airbyte
$2.50 per creditAirbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes. -
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Predibase
Predibase
Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs. -
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Superblocks
Superblocks
$100/month Superblocks is an enterprise platform designed to build and govern AI-generated applications using company data. It enables business teams to create production-ready apps without deep technical expertise. The platform integrates with major data systems such as Snowflake, Databricks, AWS, Google Cloud, and Azure. IT teams maintain centralized control over authentication, permissions, integrations, and auditing. Superblocks acts as a secure integration layer, ensuring apps do not directly access sensitive systems. It provides real-time monitoring of app usage, permissions, and potential vulnerabilities. The platform also enforces policies for security, compliance, and code standards across all applications. Users can deploy apps in cloud, hybrid, or private VPC environments based on security needs. Superblocks helps organizations replace legacy systems and accelerate internal tool development. Overall, it enables scalable, secure, and governed AI app creation across enterprise teams. -
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Azure OpenAI Service
Microsoft
$0.0004 per 1000 tokensUtilize sophisticated coding and language models across a diverse range of applications. Harness the power of expansive generative AI models that possess an intricate grasp of both language and code, paving the way for enhanced reasoning and comprehension skills essential for developing innovative applications. These advanced models can be applied to multiple scenarios, including writing support, automatic code creation, and data reasoning. Moreover, ensure responsible AI practices by implementing measures to detect and mitigate potential misuse, all while benefiting from enterprise-level security features offered by Azure. With access to generative models pretrained on vast datasets comprising trillions of words, you can explore new possibilities in language processing, code analysis, reasoning, inferencing, and comprehension. Further personalize these generative models by using labeled datasets tailored to your unique needs through an easy-to-use REST API. Additionally, you can optimize your model's performance by fine-tuning hyperparameters for improved output accuracy. The few-shot learning functionality allows you to provide sample inputs to the API, resulting in more pertinent and context-aware outcomes. This flexibility enhances your ability to meet specific application demands effectively.