Best Artificial Intelligence Software for Snowflake - Page 2

Compare the Top Artificial Intelligence Software that integrates with Snowflake as of November 2025 - Page 2

This a list of Artificial Intelligence software that integrates with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.

  • 1
    DeepSeek R1

    DeepSeek R1

    DeepSeek

    DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.
    Starting Price: Free
  • 2
    Claude Sonnet 4
    Claude Sonnet 4, the latest evolution of Anthropic’s language models, offers a significant upgrade in coding, reasoning, and performance. Designed for diverse use cases, Sonnet 4 builds upon the success of its predecessor, Claude Sonnet 3.7, delivering more precise responses and better task execution. With a state-of-the-art 72.7% performance on the SWE-bench, it stands out in agentic scenarios, offering enhanced steerability and clear reasoning capabilities. Whether handling software development, multi-feature app creation, or complex problem-solving, Claude Sonnet 4 ensures higher code quality, reduced errors, and a smoother development process.
    Starting Price: $3 / 1 million tokens (input)
  • 3
    Sisense

    Sisense

    Sisense

    Embed analytics into any application or workflow to make critical decisions – with confidence. Infuse analytics into everyday applications and workflows to drive better, faster decisions, for your business and your customers. Integrate customized analytics into your applications and products to make analytics intuitive and user-friendly. Boost product engagement, adoption, and retention with the AI-driven predictive analytics platform built for business success. Prepare, analyze, and explore data from multiple sources with Sisense, a leading Business Intelligence (BI) reporting software. Trusted by industry-leading companies, such as NASDAQ, Phillips, and Airbus, Sisense offers an end-to-end, agile BI platform that helps business make smarter, faster data-driven decisions. Sisense features an open, single-stack architecture, best-in-class analytics engine, machine learning, and delivery of insights beyond the dashboard.
  • 4
    Alation

    Alation

    Alation

    The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data.
  • 5
    Microsoft Foundry
    Microsoft Foundry is an end-to-end platform for building, optimizing, and governing AI apps and agents at scale. It gives developers access to more than 11,000 models — from foundational to multimodal — all available through one unified interface. With a simple, interoperable API and SDK, teams can build faster, ship confidently, and reduce integration complexity. Foundry connects seamlessly with your business systems, enabling AI solutions that understand your data and operate securely across your organization. Built-in governance, monitoring, and fleetwide controls ensure responsible AI deployment from day one. Microsoft Foundry helps companies turn AI into real business impact with speed, security, and precision.
  • 6
    Connecty AI

    Connecty AI

    Connecty AI

    Empower your data practitioners with deep context learning agents to instantly derive insights from complex structured data. Your data isn’t just numbers; it’s a narrative. Our deep context-learning engine ingests, enriches, and unifies your complex, multi-source data, turning fragmented information into a cohesive graph. From multi-cloud warehouses to advanced data lineage, watch the full story unfold in real-time. Gain insights that evolve with your data, empowering decisions without the noise. Bring every data role into one streamlined workflow with agent-guided collaboration. Analysts, engineers, managers, and AI work side by side, breaking down silos with agentic workflows that simplify even the most complex analytics tasks. Our agents ensure seamless information flow across teams, slashing time to insight and amplifying team impact. Unlock your data’s full potential, together.
  • 7
    NLSQL

    NLSQL

    NLSQL

    NLSQL is a cutting-edge B2B SaaS platform designed to empower employees by transforming natural language into actionable business data through an intuitive text-based interface. By leveraging Natural Language Processing (NLP), NLSQL enables users to query corporate databases using plain English, streamlining decision-making and accelerating operational efficiency. As the first NLP-to-SQL API of its kind, NLSQL allows seamless integration within existing enterprise systems without the need to transfer any sensitive or confidential information outside the corporate IT environment. This ensures robust data security and compliance with industry regulations. With NLSQL, companies benefit from faster insights, reduced reliance on technical teams for report generation, and improved accessibility to data across departments. The platform is ideal for large enterprises seeking to enhance productivity, boost data-driven culture, and maintain complete control over internal information flow.
    Starting Price: $987/month/unlimited users
  • 8
    Deepnote

    Deepnote

    Deepnote

    Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
  • 9
    Edge Delta

    Edge Delta

    Edge Delta

    Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.
    Starting Price: $0.20 per GB
  • 10
    Ray

    Ray

    Anyscale

    Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
    Starting Price: Free
  • 11
    Dagster

    Dagster

    Dagster Labs

    Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.
    Starting Price: $0
  • 12
    Metacoder

    Metacoder

    Wazoo Mobile Technologies LLC

    Metacoder makes processing data faster and easier. Metacoder gives analysts needed flexibility and tools to facilitate data analysis. Data preparation steps such as cleaning are managed reducing the manual inspection time required before you are up and running. Compared to alternatives, is in good company. Metacoder beats similar companies on price and our management is proactively developing based on our customers' valuable feedback. Metacoder is used primarily to assist predictive analytics professionals in their job. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We help organizations distribute their work transparently by enabling model sharing, and we make management of the machine learning pipeline easy to make tweaks. Soon we will be including code free solutions for image, audio, video, and biomedical data.
    Starting Price: $89 per user/month
  • 13
    Microsoft Fabric
    Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source and analytics service together—on a single, AI-powered platform. All your data. All your teams. All in one place. Establish an open and lake-centric hub that helps data engineers connect and curate data from different sources—eliminating sprawl and creating custom views for everyone. Accelerate analysis by developing AI models on a single foundation without data movement—reducing the time data scientists need to deliver value. Innovate faster by helping every person in your organization act on insights from within Microsoft 365 apps, such as Microsoft Excel and Microsoft Teams. Responsibly connect people and data using an open and scalable solution that gives data stewards additional control with built-in security, governance, and compliance.
    Starting Price: $156.334/month/2CU
  • 14
    Union Cloud

    Union Cloud

    Union.ai

    Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at Goj
    Starting Price: Free (Flyte)
  • 15
    Tabula

    Tabula

    Retable, Inc.

    Easy-to-use visual data analytics tool for you and your team. Tabula is a unified, zero-code platform that transforms complex data tasks into simple, intuitive processes. Empowering business and data teams, it allows real-time exploration, analysis, and reporting of data, without any need for developer resources.
    Starting Price: $20
  • 16
    Cognee

    Cognee

    Cognee

    ​Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.
    Starting Price: $25 per month
  • 17
    Etlworks

    Etlworks

    Etlworks

    Etlworks is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, and structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. Etlworks supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.
    Starting Price: $300 per month
  • 18
    DreamFactory

    DreamFactory

    DreamFactory Software

    DreamFactory Software is the fastest way to build secure, internal REST APIs. Instantly generate APIs from any database with built-in enterprise security controls that operates on-premises, air-gapped, or in the cloud. Develop 4x faster, save 70% on new projects, remove project management uncertainty, focus talent on truly critical issues, win more clients, and integrate with newer & legacy technologies instantly as needed. DreamFactory is the easiest and fastest way to automatically generate, publish, manage, and secure REST APIs, convert SOAP to REST, and aggregate disparate data sources through a single API platform. See why companies like Disney, Bosch, Netgear, T-Mobile, Intel, and many more are embracing DreamFactory's innovative platform to get a competitive edge. Start a hosted trial or talk to our engineers to get access to an on-prem environment!
    Starting Price: $1500/month
  • 19
    Immuta

    Immuta

    Immuta

    Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.
  • 20
    Toucan

    Toucan

    Toucan

    Toucan is a customer-facing analytics platform that empowers organizations to drive engagement with the best end-user experience. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy. As a result, Toucan analytics are used 3x more than the industry average. Users can connect to any data, cloud-based or other, streaming or stored, with hundreds of connectors. Preparation of data is equally simple with data readiness features that lets business people perform tasks that would ordinarily require an expert. Visualization takes the form of “data storytelling” where every chart is accompanied by context, collaboration, and annotation so that users understand the “why” and not just the “what” of their data. Finally, deployment and management are made easy with one-touch deployment from staging to production, easy embedding, and publishing to any device.
  • 21
    MindsDB

    MindsDB

    MindsDB

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. Our Values: - Connect to a wide range of data sources and applications using a single interface and language using the Federated query engine. - MindsDB's Knowledge Base unifies and makes sense of structured and unstructured data. - Minds "Cognition" understands, plans, finds, and retrieves the best data to respond to questions while offering full transparency of their thoughts and user actions to IT/operators. MindsDB offers AI solutions for Open Source and Minds Enterprise.
  • 22
    Explorium

    Explorium

    Explorium

    Explorium offers a first-of-its-kind data science platform powered by automatic data discovery and feature engineering. By automatically connecting to thousands of external data sources (premium, partner, and public) and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquiring the right data and fueling superior predictive power. Try it for free at www.explorium.ai/free-trial
    Starting Price: $50K/year
  • 23
    Skypoint AI Platform

    Skypoint AI Platform

    SkyPoint Cloud

    The Skypoint AI Platform is a powerful data and AI solution designed for regulated industries like healthcare, finance, and the public sector, enabling seamless data integration and advanced AI-driven automation. Built on an open-architecture data lakehouse, it consolidates structured and unstructured data into a single source of truth while ensuring governance, security, and compliance. The platform provides end-to-end AI capabilities, including business intelligence, AI agents, and copilots, helping organizations streamline operations and improve decision-making. By leveraging compound AI systems with specialized language models, retrievers, and external tools, Skypoint delivers tailored, intelligent solutions to meet industry-specific challenges.
    Starting Price: $24,995/month
  • 24
    JetBrains Datalore
    Datalore is a collaborative data science and analytics platform aimed at boosting the whole analytics workflow and making work with data enjoyable for both data scientists and data savvy business teams across the enterprise. Keeping a major focus on data teams workflow, Datalore offers technical-savvy business users the ability to work together with data teams, using no-code or low-code together with the power of Jupyter notebooks. Datalore enables analytical self-service for business users, enabling them to work with data using SQL and no-code cells, build reports and deep dive into data. It offloads the core data team with simple tasks. Datalore enables analysts and data scientists to share results with ML Engineers. You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.
    Starting Price: $19.90 per month
  • 25
    Flyte

    Flyte

    Union.ai

    The workflow automation platform for complex, mission-critical data and ML processes at scale. Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing. Flyte is used in production at Lyft, Spotify, Freenome, and others. At Lyft, Flyte has been serving production model training and data processing for over four years, becoming the de-facto platform for teams like pricing, locations, ETA, mapping, autonomous, and more. In fact, Flyte manages over 10,000 unique workflows at Lyft, totaling over 1,000,000 executions every month, 20 million tasks, and 40 million containers. Flyte has been battle-tested at Lyft, Spotify, Freenome, and others. It is entirely open-source with an Apache 2.0 license under the Linux Foundation with a cross-industry overseeing committee. Configuring machine learning and data workflows can get complex and error-prone with YAML.
    Starting Price: Free
  • 26
    JFrog ML
    JFrog ML (formerly Qwak) offers an MLOps platform designed to accelerate the development, deployment, and monitoring of machine learning and AI applications at scale. The platform enables organizations to manage the entire lifecycle of machine learning models, from training to deployment, with tools for model versioning, monitoring, and performance tracking. It supports a wide variety of AI models, including generative AI and LLMs (Large Language Models), and provides an intuitive interface for managing prompts, workflows, and feature engineering. JFrog ML helps businesses streamline their ML operations and scale AI applications efficiently, with integrated support for cloud environments.
  • 27
    Airbyte

    Airbyte

    Airbyte

    Airbyte is an open-source data integration platform designed to help businesses synchronize data from various sources to their data warehouses, lakes, or databases. The platform provides over 550 pre-built connectors and enables users to easily create custom connectors using low-code or no-code tools. Airbyte's solution is optimized for large-scale data movement, enhancing AI workflows by seamlessly integrating unstructured data into vector databases like Pinecone and Weaviate. It offers flexible deployment options, ensuring security, compliance, and governance across all models.
    Starting Price: $2.50 per credit
  • 28
    Predibase

    Predibase

    Predibase

    Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.
  • 29
    Superblocks

    Superblocks

    Superblocks

    Superblocks is a programmable IDE for developers to build any internal app, workflow, or scheduled job at a fraction of the time and cost. Ship next month's roadmap this week. Quickly build apps, workflows & jobs connected to your data. Secure with granular permissions (RBAC), SSO, audit logs, and secret management in seconds. Deploy with Git and monitor production. Extend anything with code. No need to learn React, HTML, or CSS. Drag and drop components, connect them to data and make your app dynamic by triggering APIs. Build custom KYC, Compliance, AML, and credit approval tools to enable robust support processes to increase the velocity of your support team. Stop wrestling with CLIs. Quickly build admin panels for your datastores to read, write, and update your customer data with tables, forms, and charts. Clark is an AI-powered app builder that helps teams quickly create secure internal enterprise applications using their own design systems, permissions, and integrations.
    Starting Price: $0 per month
  • 30
    Azure OpenAI Service
    Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.
    Starting Price: $0.0004 per 1000 tokens