Find and compare the best Artificial Intelligence software for Google Cloud BigQuery in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Google Cloud BigQuery on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Athenic AI
Athenic AI
Uncover the intricacies behind emerging trends by embarking on a guided exploration of data analytics inquiries that reveal the underlying dynamics at play. Enable your stakeholders to harness the power of self-service data analytics, granting them the capability to retrieve and examine the data they require, precisely when they need it. This approach enhances efficiency, diminishes reliance on IT support, and accelerates the process of making informed, data-driven decisions through a self-service analytics platform. Athenic AI seamlessly integrates with your data, whether it is housed in a database, data warehouse, or applications like CRM or ERP systems, providing answers to your queries without necessitating expertise in SQL or the involvement of a business analyst. Designed to comprehend natural language, Athenic translates your inquiries into SQL queries effortlessly. Moreover, we have incorporated a feature that allows users to provide additional context in natural language, further enriching the interaction and insights derived from the data. This empowers users to gain a deeper understanding of their data landscape, fostering a culture of analytical thinking across the organization. -
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Quickwork
Quickwork
$20 per monthQuickwork is used by enterprises to create simple and complex workflows. It also allows them to create and publish APIs that are secure, and to manage conversational interactions between employees, customers, and partners. This helps to provide an excellent user experience. Quickwork is an all-in one platform that provides the tools and services needed to build powerful and scalable integrations. It also offers serverless APIs and conversational experiences. Drag and drop applications to create powerful integrations. No need to write a line of code. You can choose from 1000s of apps for business, consumer, analytics, messaging and IoT. Quickwork's API Management allows you to convert any workflow into an REST API in a single click. Our serverless infrastructure allows you to scale your APIs elastically and securely. Create and manage real-time messaging and conversational workflows across multiple channels with human agents, IoT devices, and chatbots. -
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Chalk
Chalk
FreeExperience robust data engineering processes free from the challenges of infrastructure management. By utilizing straightforward, modular Python, you can define intricate streaming, scheduling, and data backfill pipelines with ease. Transition from traditional ETL methods and access your data instantly, regardless of its complexity. Seamlessly blend deep learning and large language models with structured business datasets to enhance decision-making. Improve forecasting accuracy using up-to-date information, eliminate the costs associated with vendor data pre-fetching, and conduct timely queries for online predictions. Test your ideas in Jupyter notebooks before moving them to a live environment. Avoid discrepancies between training and serving data while developing new workflows in mere milliseconds. Monitor all of your data operations in real-time to effortlessly track usage and maintain data integrity. Have full visibility into everything you've processed and the ability to replay data as needed. Easily integrate with existing tools and deploy on your infrastructure, while setting and enforcing withdrawal limits with tailored hold periods. With such capabilities, you can not only enhance productivity but also ensure streamlined operations across your data ecosystem. -
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Conduit
Conduit
$21 per user per monthConduit transforms the way agencies and businesses manage their marketing data with its AI-powered data analyst platform. It eliminates the need for messy, error-prone spreadsheets by centralizing multi-account data from CRMs, ad platforms, and campaign plans into a single source of truth. The platform empowers teams to generate real-time insights, create custom dashboards, and streamline reporting without technical expertise. Agencies using Conduit report saving 30% of team time while achieving more accurate results and cutting wasted ad spend by 10%. With features like automated ETL, seamless Google Sheets integration, and ready-to-use templates, Conduit adapts to any workflow. Real client success stories highlight results such as $1.2M in new revenue, $1M in cost savings, and ROI as high as 370x. Conduit isn’t just about efficiency—it’s about freeing teams to focus on creativity, strategy, and client growth. Trusted by brands like Hulu, Coca-Cola, and 200,000+ professionals worldwide, Conduit powers the future of data-driven marketing. -
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Kater.ai
Kater.ai
Kater is designed specifically for both data experts and those curious about data. It ensures that all structured data products are readily accessible to anyone with a query, even if they have no experience with SQL. Kater's mission is to unify data ownership across various departments within your organization. Meanwhile, Butler securely interfaces with your data warehouse's metadata and elements, facilitating coding, data exploration, and much more. Enhance your data for artificial intelligence through features like automatic intelligent labeling, categorization, and data curation. Our services assist you in establishing your semantic layer, metric layer, and comprehensive documentation. Additionally, validated responses are compiled in the query bank to deliver smarter and more precise answers, enhancing the overall data experience. This holistic approach empowers users to leverage data more effectively across all business functions. -
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B2Metric
B2Metric
$99 per monthA customer intelligence platform designed to aid brands in examining and forecasting user behavior across various channels is essential for modern marketing strategies. This platform enables swift and precise data analysis, allowing businesses to uncover behavioral patterns and trends for informed decision-making, leveraging the capabilities of AI and machine learning. B2Metric seamlessly connects with a wide array of data sources, including commonly used databases, to facilitate comprehensive insights. By predicting customer churn, brands can enhance their retention strategies and implement timely preventive measures. Additionally, customers can be categorized into specific segments based on their behaviors, attributes, and preferences, thus allowing for more targeted marketing initiatives. The refinement of marketing strategies through data-driven insights boosts performance, enhances targeting precision, personalizes customer interactions, and optimizes budget allocation. Furthermore, creating tailored marketing efforts and optimizing touchpoints leads to distinctive customer experiences. With AI-driven marketing analytics, businesses can effectively reduce user churn while fostering growth. By identifying customers at risk of leaving, companies can devise proactive retention strategies utilizing sophisticated machine learning algorithms, ultimately ensuring sustained engagement and loyalty. This comprehensive approach to customer intelligence empowers brands to thrive in an increasingly competitive landscape. -
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Saagie
Saagie
The Saagie cloud data factory serves as a comprehensive platform that enables users to develop and oversee their data and AI initiatives within a unified interface, all deployable with just a few clicks. By utilizing the Saagie data factory, you can securely develop use cases and evaluate your AI models. Launch your data and AI projects seamlessly from a single interface while centralizing team efforts to drive swift advancements. Regardless of your experience level, whether embarking on your initial data project or cultivating a data and AI-driven strategy, the Saagie platform is designed to support your journey. Streamline your workflows to enhance productivity and make well-informed decisions by consolidating your work on one platform. Transform raw data into valuable insights through effective orchestration of your data pipelines, ensuring quick access to critical information for better decision-making. Manage and scale your data and AI infrastructure with ease, significantly reducing the time it takes to bring your AI, machine learning, and deep learning models into production. Additionally, the platform fosters collaboration among teams, enabling a more innovative approach to data-driven challenges. -
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Brewit
Brewit
Accelerate your data-driven decision-making by tenfold with self-service analytics that seamlessly integrates your databases and data warehouses in a single platform, including options like Postgres, MySQL, Snowflake, and BigQuery. Brewit simplifies the process by generating SQL queries and suggesting charts based on your specific data inquiries, while also allowing in-depth analysis. Engage in a conversation with your database, visualize findings, and conduct thorough analyses. With a built-in data catalog, you can guarantee the accuracy and reliability of your answers. An automated semantic layer ensures that Brewit applies the correct business logic in its responses. Managing your data catalog and data dictionary is straightforward, and creating an attractive report is as simple as crafting a document. A narrative brings your data to life, and our Notion-style notebook editor lets you effortlessly compile reports and dashboards, transforming raw data into valuable insights. Furthermore, all organized data products are accessible to anyone with a data-related query, making it easy for users of all technical backgrounds to engage with the information. In this way, Brewit democratizes data accessibility and empowers all users to utilize insights effectively. -
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SimplyPut
SimplyPut
Replace outdated dashboards and costly internal solutions with SimplyPut, allowing your customers to receive immediate and reliable answers to their data inquiries. Eliminate the need for customers to sift through endless tables and perform intricate calculations to obtain the information they seek. With SimplyPut, anyone can engage with your data using natural language and receive swift, trustworthy responses right within your application. Empower customers to stay informed about the data trends, changes, and updates that are most relevant. Transform any conversation into an automated report at the click of a button. SimplyPut's AI not only keeps users informed about essential metrics but also offers actionable recommendations based on insights. Unlike traditional text-to-SQL tools, SimplyPut stands out as a premier AI data analytics solution equipped with strong trust mechanisms that prevent inaccuracies. Efficiently educate SimplyPut's AI on your company's unique dataset and ensure any inquiry is verified for consistent and reliable outcomes, helping you make data-driven decisions with confidence. The ability to seamlessly integrate this technology into your existing systems enhances operational efficiency and customer satisfaction. -
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Airfold
Airfold
$2,000 per monthLeverage Airfold to accelerate your AI development by breaking down data silos and streamlining your architectural frameworks, allowing your organization to operate with the agility and scale required in today’s fast-paced environment, all through a single innovative platform. Current solutions fall short in addressing the needs of the modern AI landscape. With Airfold, you can dismantle barriers, cut costs, and achieve faster results like never before. Harness generative AI to create smarter applications at an unprecedented pace. Say goodbye to the hassle of managing multiple tools and scripts, as everything you need is now integrated into one solution. Enable every member of your organization to extract vital insights from data using natural language processing. Enhance your efficiency by utilizing AI to refine your data workflows in ways that were previously unimaginable. Convert text data, documents, images, and transcripts into actionable insights by having AI intelligently categorize information according to your specifications. Additionally, streamline operations by automating the generation of insights across vast datasets, thereby eliminating tedious manual tasks. This transformation not only improves productivity but also fosters a culture of data-driven decision-making throughout your organization. -
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HoneyHive
HoneyHive
AI engineering can be transparent rather than opaque. With a suite of tools for tracing, assessment, prompt management, and more, HoneyHive emerges as a comprehensive platform for AI observability and evaluation, aimed at helping teams create dependable generative AI applications. This platform equips users with resources for model evaluation, testing, and monitoring, promoting effective collaboration among engineers, product managers, and domain specialists. By measuring quality across extensive test suites, teams can pinpoint enhancements and regressions throughout the development process. Furthermore, it allows for the tracking of usage, feedback, and quality on a large scale, which aids in swiftly identifying problems and fostering ongoing improvements. HoneyHive is designed to seamlessly integrate with various model providers and frameworks, offering the necessary flexibility and scalability to accommodate a wide range of organizational requirements. This makes it an ideal solution for teams focused on maintaining the quality and performance of their AI agents, delivering a holistic platform for evaluation, monitoring, and prompt management, ultimately enhancing the overall effectiveness of AI initiatives. As organizations increasingly rely on AI, tools like HoneyHive become essential for ensuring robust performance and reliability. -
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DataChain
iterative.ai
FreeDataChain serves as a bridge between unstructured data found in cloud storage and AI models alongside APIs, facilitating immediate data insights by utilizing foundational models and API interactions to swiftly analyze unstructured files stored in various locations. Its Python-centric framework significantly enhances development speed, enabling a tenfold increase in productivity by eliminating SQL data silos and facilitating seamless data manipulation in Python. Furthermore, DataChain prioritizes dataset versioning, ensuring traceability and complete reproducibility for every dataset, which fosters effective collaboration among team members while maintaining data integrity. The platform empowers users to conduct analyses right where their data resides, keeping raw data intact in storage solutions like S3, GCP, Azure, or local environments, while metadata can be stored in less efficient data warehouses. DataChain provides versatile tools and integrations that are agnostic to cloud environments for both data storage and computation. Additionally, users can efficiently query their unstructured multi-modal data, implement smart AI filters to refine datasets for training, and capture snapshots of their unstructured data along with the code used for data selection and any associated metadata. This capability enhances user control over data management, making it an invaluable asset for data-intensive projects. -
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AWS Marketplace
Amazon
AWS Marketplace serves as a carefully organized digital platform that allows users to explore, buy, implement, and oversee third-party software, data products, AI agents, and services seamlessly within the AWS environment. This marketplace offers a vast array of options spanning various categories, including security, machine learning, business applications, and DevOps tools. By featuring adaptable pricing structures like pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace makes it easier for customers to manage procurement and billing by consolidating expenses into a single AWS invoice. Additionally, it facilitates quick deployment of pre-configured software that can be easily launched on AWS infrastructure. This efficient model not only empowers businesses to spur innovation and reduce time-to-market but also enhances their ability to control software utilization and costs effectively. Ultimately, AWS Marketplace stands as an essential tool for organizations looking to optimize their software management and procurement processes. -
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Fabi.ai
Fabi.ai
$199/month Fabi.ai, an AI-powered platform for collaborative data analysis, is a collaborative data analysis platform. It helps data teams transform data into insights through a seamless integration of SQL, Python and AI. Fabi.ai allows data teams to create and share interactive dashboards, reports, data apps or lightweight data pipelines. Insights are then sent directly to Google Sheets and Slack. -
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FeatureByte
FeatureByte
FeatureByte acts as your AI data scientist, revolutionizing the entire data lifecycle so that processes that previously required months can now be accomplished in mere hours. It is seamlessly integrated with platforms like Databricks, Snowflake, BigQuery, or Spark, automating tasks such as feature engineering, ideation, cataloging, creating custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving—whether online or in batch—all within a single, cohesive platform. The GenAI-inspired agents from FeatureByte collaborate with data, domain, MLOps, and data science experts to actively guide teams through essential processes like data acquisition, ensuring quality, generating features, creating models, orchestrating deployments, and ongoing monitoring. Additionally, FeatureByte offers an SDK and an intuitive user interface that facilitate both automated and semi-automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval workflows, role-based access control, alerts, and version management, which collectively empower teams to rapidly and reliably construct, refine, document, and serve features. This comprehensive solution not only enhances efficiency but also ensures that teams can adapt to changing data requirements and maintain high standards in their data operations. -
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Aleph
Aleph
Aleph is a finance platform designed for AI, facilitating financial planning and analysis by merging data consolidation, spreadsheets, dashboards, and intelligent automation to enhance finance processes. It seamlessly integrates with over 150 systems, including ERP, HRIS/ATS, CRM, and various databases, utilizing no-code solutions to ensure real-time data synchronization. The platform adeptly transforms raw data through mapping, table combinations, and applying specific calculations, while securely storing essential metrics. Users can access Aleph via a web interface, complemented by spreadsheet add-ins that allow for the preservation of existing models, all while leveraging more accurate and live data. With features like dashboards and drill-down capabilities, it enables users to identify variances, expedite reporting and closing procedures, engage in forecasting and budget planning, model various scenarios, manage headcount effectively, and share visualized metrics across teams. Additionally, it incorporates robust security measures (SOC 2 Type II) and compliance features, ensuring clients receive immediate value from the platform; many report achieving operational readiness and generating reports within just a few days or weeks after implementation. This rapid onboarding and user-friendly design make Aleph an appealing choice for organizations looking to optimize their finance workflows. -
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Codd AI
Codd AI
$25k per yearCodd AI addresses a major challenge in the analytics landscape: transforming data into a format that is genuinely suitable for business purposes. Rather than having teams dedicate weeks to the tedious tasks of manually mapping schemas, constructing models, and establishing metrics, Codd leverages generative AI to automatically generate a context-aware semantic layer that connects technical data with the language of the business. As a result, business users can pose inquiries in straightforward English and receive precise, governed responses instantly—whether through BI tools, conversational AI, or various other platforms. Additionally, with built-in governance and auditability, Codd not only accelerates the analytics process but also enhances clarity and reliability. Ultimately, this innovative approach empowers organizations to make more informed decisions based on trustworthy data insights. -
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Solid
Solid
Solid is a data intelligence platform enhanced by AI, aimed at ensuring enterprise data is both dependable and accessible for applications in AI, analytics, and interactive data queries. It automatically identifies, documents, and constructs business-relevant semantic models utilizing a company's existing data, queries, and tools, thereby establishing a reliable foundation that AI systems can depend upon. By assessing the actual usage of data within the organization, it produces validated tables, metrics, relationships, and SQL logic that correspond with genuine business definitions. With offerings like Solid Build and Solid Analyze, teams can streamline semantic modeling, convert natural language inquiries into production-ready SQL, and ensure models are continually refreshed in response to data changes. The platform prioritizes transparency and human involvement, permitting data teams to review, adjust, and confirm AI-generated models instead of merely depending on unclear automation. This approach fosters a collaborative environment where data professionals can enhance the quality and accuracy of the models they work with. -
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Milo
Autonomous Minds
Milo serves as a robust AI data analyst, empowering teams to query, analyze, and interpret their data through natural language interactions. Rather than requiring the construction of intricate dashboards or the writing of SQL queries, users can effortlessly pose questions and receive immediate responses, along with visualizations and valuable insights. This innovative platform integrates seamlessly with company data sources, converting raw information into coherent analyses in mere seconds. It caters specifically to business teams, analysts, and product managers who require swift access to insights, minimizing the reliance on labor-intensive reporting or conventional business intelligence systems. Central to Milo's design are security and data governance, ensuring that the platform is suitable for enterprise-level environments with stringent access protocols to safeguard sensitive corporate information. By streamlining the manner in which teams engage with data, Milo not only accelerates organizational processes but also lessens the reliance on manual reporting practices, ultimately facilitating improved decision-making through real-time, AI-enhanced analysis. As a result, companies can leverage data more effectively and swiftly adapt to changing business dynamics. -
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Cloud Dataprep
Google
Trifacta's Cloud Dataprep is an advanced data service designed for the visual exploration, cleansing, and preparation of both structured and unstructured datasets, facilitating analysis, reporting, and machine learning tasks. Its serverless architecture allows it to operate at any scale, eliminating the need for users to manage or deploy infrastructure. With each interaction in the user interface, the system intelligently suggests and forecasts your next ideal data transformation, removing the necessity for manual coding. As a partner service of Trifacta, Cloud Dataprep utilizes their renowned data preparation technology to enhance functionality. Google collaborates closely with Trifacta to ensure a fluid user experience, which bypasses the requirement for initial software installations, separate licensing fees, or continuous operational burdens. Fully managed and capable of scaling on demand, Cloud Dataprep effectively adapts to your evolving data preparation requirements, allowing you to concentrate on your analytical pursuits. This innovative service ultimately empowers users to streamline their workflows and maximize productivity. -
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Kraken
Big Squid
$100 per monthKraken caters to a wide range of users, from analysts to data scientists, by providing a user-friendly, no-code automated machine learning platform. It is designed to streamline and automate various data science processes, including data preparation, cleaning, algorithm selection, model training, and deployment. With a focus on making these tasks accessible, Kraken is particularly beneficial for analysts and engineers who may have some experience in data analysis. The platform’s intuitive, no-code interface and integrated SONAR© training empower users to evolve into citizen data scientists effortlessly. For data scientists, advanced functionalities enhance productivity and efficiency. Whether your routine involves using Excel or flat files for reporting or conducting ad-hoc analysis, Kraken simplifies the model-building process with features like drag-and-drop CSV uploads and an Amazon S3 connector. Additionally, the Data Connectors in Kraken enable seamless integration with various data warehouses, business intelligence tools, and cloud storage solutions, ensuring that users can work with their preferred data sources effortlessly. This versatility makes Kraken an indispensable tool for anyone looking to leverage machine learning without requiring extensive coding knowledge. -
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Privacera
Privacera
Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system. -
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Tonic
Tonic
Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information. -
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Secuvy AI
Secuvy
Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data. -
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TruEra
TruEra
An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.
