Find and compare the best Artificial Intelligence software for Databricks in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Databricks on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.
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Sana
Sana Labs
Experience a centralized hub for all your educational and informational needs. Sana is an innovative learning platform powered by AI that equips teams with the ability to discover, disseminate, and leverage the knowledge necessary for fulfilling their objectives. Enhance the learning journey for everyone by merging live collaborative interactions with tailored self-paced courses, all available in a single location. Simplify the sharing of knowledge through the capabilities of Sana Assistant, which can create questions, explanations, images, and even entire courses autonomously. Encourage active participation and excitement through a variety of interactive elements such as quizzes, Q&A sessions, polls, sticky notes, reflection cards, recordings, and much more. Seamlessly integrate Sana with your team's favorite applications, ensuring that your organization's collective knowledge remains accessible and searchable in less than 100 milliseconds. From Github to Google Workspace, Notion, Slack, and Salesforce, whatever you need, Sana is ready to provide insights from it. All of this comes together to foster a vibrant learning culture within your organization. -
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TextQL
TextQL
The platform organizes BI tools and semantic layers, documents data utilizing dbt, and incorporates OpenAI and language models to facilitate self-service advanced analytics. Through TextQL, users without a technical background can effortlessly interact with data by posing queries within their familiar work environments (such as Slack, Teams, or email) and receive prompt and secure automated responses. Additionally, the platform employs NLP and semantic layers, including the dbt Labs semantic layer, to deliver sensible solutions. TextQL enhances the question-to-answer workflow by seamlessly transitioning to human analysts when necessary, significantly streamlining the entire process with AI assistance. At TextQL, we are dedicated to enabling business teams to find the data they need in under a minute. To achieve this goal, we assist data teams in uncovering and creating documentation for their datasets, ensuring that business teams can rely on the accuracy and timeliness of their reports. Ultimately, our commitment to user-friendly data access transforms the way organizations utilize their information resources. -
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Qualytics
Qualytics
Assisting businesses in actively overseeing their comprehensive data quality lifecycle is achieved through the implementation of contextual data quality assessments, anomaly detection, and corrective measures. By revealing anomalies and relevant metadata, teams are empowered to implement necessary corrective actions effectively. Automated remediation workflows can be initiated to swiftly and efficiently address any errors that arise. This proactive approach helps ensure superior data quality, safeguarding against inaccuracies that could undermine business decision-making. Additionally, the SLA chart offers a detailed overview of service level agreements, showcasing the total number of monitoring activities conducted and any violations encountered. Such insights can significantly aid in pinpointing specific areas of your data that may necessitate further scrutiny or enhancement. Ultimately, maintaining robust data quality is essential for driving informed business strategies and fostering growth. -
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LlamaIndex
LlamaIndex
LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications. -
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Acryl Data
Acryl Data
Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management. -
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DataGalaxy
DataGalaxy
DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation. -
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Modelbit
Modelbit
Maintain your usual routine while working within Jupyter Notebooks or any Python setting. Just invoke modelbi.deploy to launch your model, allowing Modelbit to manage it — along with all associated dependencies — in a production environment. Machine learning models deployed via Modelbit can be accessed directly from your data warehouse with the same simplicity as invoking a SQL function. Additionally, they can be accessed as a REST endpoint directly from your application. Modelbit is integrated with your git repository, whether it's GitHub, GitLab, or a custom solution. It supports code review processes, CI/CD pipelines, pull requests, and merge requests, enabling you to incorporate your entire git workflow into your Python machine learning models. This platform offers seamless integration with tools like Hex, DeepNote, Noteable, and others, allowing you to transition your model directly from your preferred cloud notebook into a production setting. If you find managing VPC configurations and IAM roles cumbersome, you can effortlessly redeploy your SageMaker models to Modelbit. Experience immediate advantages from Modelbit's platform utilizing the models you have already developed, and streamline your machine learning deployment process like never before. -
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Virtualitics
Virtualitics
With the integration of embedded AI and immersive 3D visualizations, analysts are equipped to formulate groundbreaking business strategies and ensure that no vital insights from their data are overlooked. Virtualitics’ Intelligent Exploration enhances this process by offering AI-assisted exploration that proactively uncovers insights essential for driving impactful decisions. The AI-guided exploration simplifies complex data interpretations into straightforward language, ensuring that every detail is captured. Analysts can delve into a wide array of data types and complexities, swiftly uncovering significant relationships within seconds. Engaging and informative 3D visualizations enhance understanding by vividly portraying data narratives. By utilizing 3D and VR data visualizations, analysts can approach data from fresh perspectives, facilitating the comprehension of intricate findings. Moreover, the ability to share well-annotated insights and clear explanations ensures that all stakeholders are well-informed and aligned with strategic objectives. This holistic approach not only enriches the analysis process but also fosters collaboration among teams. -
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Cranium
Cranium
The AI revolution has arrived. The regulatory landscape is constantly changing, and innovation is moving at lightning speed. How can you ensure that your AI systems, as well as those of your vendors, remain compliant, secure, and trustworthy? Cranium helps cybersecurity teams and data scientists understand how AI impacts their systems, data, or services. Secure your organization's AI systems and machine learning systems without disrupting your workflow to ensure compliance and trustworthiness. Protect your AI models from adversarial threats while maintaining the ability to train, test and deploy them. -
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Qlik Staige
QlikTech
Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways. -
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Validio
Validio
Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively. -
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BREVIAN
BREVIAN
An AI agent designed to interpret information from your ticketing systems, customer relationship management tools, knowledge repositories, and release documentation can significantly enhance the efficiency of your support teams in ticket resolution. It streamlines the process by automatically directing tickets to the appropriate department based on their content. Transitioning from a reactive support model to a proactive one is possible by identifying potential issues before they escalate. Additionally, it organizes tickets into prevalent topics and patterns, thereby enriching knowledge bases to help decrease the overall ticket volume. BREVIAN AI agents come equipped with built-in security and safety features, eliminating the need for multiple product integrations to achieve enterprise readiness. They allow for the implementation of uniform controls that are independent of your data and models. Furthermore, business teams can integrate various agents to create an intelligent network that spans across their enterprise data. This solution also facilitates knowledge extraction from both structured and unstructured data, including images, enhancing overall data utility. Overall, leveraging such technology can lead to marked improvements in operational efficiency. -
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Fluent
Fluent
Empower your organization to independently access data insights through AI with Fluent, your intelligent data analyst that facilitates the exploration of data and helps identify critical questions. Forget about complicated interfaces and lengthy training periods; simply enter your query and let Fluent handle the rest. This tool collaborates with you to refine your inquiries, ensuring you receive the insights necessary for informed decision-making. By leveraging Fluent, you can discover the essential questions that lead to deeper understanding and utilization of your data. It fosters a collective comprehension of data among team members, promoting real-time collaboration and maintaining a unified data dictionary. Say goodbye to data silos, confusion, and disputes over revenue definitions. Fluent seamlessly integrates with platforms like Slack and Teams, allowing you to access data insights directly within your communication channels. Additionally, it provides transparent outputs showcasing the specific SQL paths and AI reasoning behind each query, fostering trust in the results. You can also create customized datasets accompanied by comprehensive usage guidelines and robust quality control measures, further reinforcing data integrity and effective access management. Overall, Fluent not only streamlines data accessibility but also enhances organizational coherence and decision-making capabilities. -
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Quest
Quest
Empower growth and marketing teams to enhance engagement and conversion rates tenfold, all without the need for data or engineering personnel. Elevate your application with an AI-driven personalized user interface that integrates flawlessly with your existing data architecture for a customized experience. By strategically optimizing the onboarding process, we can significantly boost user activation rates. Taking into account factors such as user roles, company types, and specific intents allows us to craft bespoke quick-start guides and tours. Additionally, enabling users to personalize menu or shopping items according to their preferences and behaviors fosters a more engaging browsing experience. Utilizing insights derived from purchase history, browsing habits, and demographic information allows us to provide tailored promotions and discounts that truly resonate with individual users. Our analytical frameworks identify common characteristics among less active users, creating thousands of segments aimed at re-engagement. Moreover, we can efficiently identify successful variants from millions of options, enhancing the user journey at every touchpoint while ensuring that every interaction is optimized for maximum impact. This tailored approach not only boosts user satisfaction but also drives long-term loyalty. -
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Velotix
Velotix
Velotix empowers organizations to unlock the true value of their data while maintaining the highest standards of security and compliance in today’s complex regulatory landscape. The Velotix Data Security Platform offers a comprehensive suite of features, including AI-driven data discovery, automated policy enforcement, and granular, dynamic access controls that adapt to the evolving needs of businesses. Designed to seamlessly integrate with multi-cloud and hybrid environments, Velotix simplifies data management, enabling secure, self-service access to data without compromising governance or risking compliance violations. With Velotix, organizations can optimize the use of their data while ensuring that security policies are enforced consistently and efficiently across all platforms. The platform’s advanced workflows and automation capabilities help reduce manual overhead, streamline data processes, and minimize the risk of human error. This results in faster, more informed decision-making while protecting sensitive data assets. -
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BeagleGPT
BeagleGPT
Personalized data insights and proactive nudges are tailored for every user based on their unique usage patterns, employing automated heuristic guidelines, updated data, and learnings from user cohorts. The semantic framework is specifically adjusted to align with the unique terminologies and nomenclatures used by different organizations. While generating responses, the individual roles and preferences of users are taken into account, ensuring relevance and utility. Advanced modules are designed to address various scenarios such as how, why, and so what, providing comprehensive insights. A single subscription caters to the entire organization, effectively driving the movement towards data democratization. Beagle serves as your dedicated data assistant, providing timely updates and alerts directly to your message inbox. With its integrated self-service features, Beagle significantly lowers the total cost of ownership for organizations. Moreover, it seamlessly integrates with other dashboards, thereby amplifying their functionality and expanding their influence within the organization. This collaborative approach fosters a culture of data-driven decision-making throughout the team. -
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Unity Catalog
Databricks
The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams. -
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Multimodal
Multimodal
Multimodal specializes in the creation and management of secure, cohesive, and customized AI automation solutions specifically designed for intricate workflows within the financial sector. Our robust AI agents leverage proprietary company data to enhance accuracy and function collectively as your digital workforce. These advanced agents are capable of processing various documents, querying databases, powering chatbots, making informed decisions, and generating comprehensive reports. They excel at automating entire workflows and possess the ability to learn independently, continuously enhancing their performance. The Unstructured AI component acts as an Extract, Transform, Load (ETL) layer, adeptly handling complex, unstructured documents for applications like RAG or other AI-driven uses. Our Document AI is meticulously trained on your specific schema to efficiently extract, label, and organize data from diverse sources including loan applications, claims, and PDF reports. Additionally, our Conversational AI functions as a dedicated in-house chatbot, utilizing unstructured internal data to deliver effective support to both customers and employees. Furthermore, Database AI interfaces with company databases to respond to inquiries, interpret data sets, and offer valuable insights that can drive decision-making. This comprehensive suite of AI capabilities aims to streamline operations and enhance productivity across various financial services. -
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Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.
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Lumi AI
Lumi AI
Lumi AI serves as a comprehensive analytics platform designed for enterprises, allowing users to delve into data and derive personalized insights through natural language inquiries, which removes the necessity for knowledge in SQL or Python. This platform provides a range of features, including self-service analytics, conversational analytics, customizable visual representations, knowledge management, smooth integrations, and strong security measures. It caters to various teams such as data analysis, supply chain management, procurement, sales, merchandising, and financial planning by delivering actionable insights that align with specific business terminology and metrics. Lumi AI's intelligent workflows can manage both straightforward and intricate queries, revealing underlying causes and enabling sophisticated analyses while effectively interpreting language tailored to business contexts. Additionally, Lumi AI seamlessly connects with multiple data sources and upholds enterprise-level security by processing data within the client's infrastructure and implementing advanced user permissions and query management, thereby fostering a secure and efficient analytics environment. This multifaceted approach ensures that organizations can harness their data to drive informed decision-making and strategic growth. -
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Observo AI
Observo AI
Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats. -
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100x
100x
100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management. -
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XTEL AI
XTEL AI
XTEL is an advanced AI platform tailored for commercial execution, designed to assist businesses in transforming their data into practical strategies and implementing them effectively. The platform includes various modules, such as ADAM (Augmented Data Management) for data ingestion and normalization, RGM (Revenue Growth Management) which provides insights and strategies from a comprehensive company perspective, MAX AI aimed at optimizing profit and revenue, TPX for managing trade promotions from inception to execution, and REX for retail execution that guarantees effective coordination across different channels, customers, and distribution routes. Engineered for enterprise use, XTEL boasts a modular and scalable architecture with open APIs, adheres to compliance standards like ISO, SOC, and GDPR, and is built on Azure to facilitate both centralized and localized models. Its AI and data science components are specifically designed for the consumer goods sector while allowing for customization, thorough back-testing, and maintaining transparency to foster trust and dependability. Furthermore, XTEL's innovative technology positions it as a vital resource for businesses looking to enhance their operational efficiency and drive growth in a competitive market. -
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Claude Science
Anthropic
Claude Science is an AI-powered research environment that enables scientists to perform data analysis, computational research, literature review, and scientific writing from a single integrated application. Rather than serving as a standalone language model, the platform combines Claude's AI capabilities with scientific databases, laboratory tools, high-performance computing resources, and research software to support complete scientific workflows. Researchers can analyze datasets, generate publication-quality figures, explore hypotheses, review literature, and prepare manuscripts while maintaining complete reproducibility for every result. The application automatically records the code, computational environment, and conversation behind each artifact, allowing analyses to be reproduced, validated, edited, or expanded long after the original work is completed. Claude Science supports scientific disciplines including genomics, single-cell sequencing, proteomics, structural biology, cheminformatics, and other computational research fields through specialized workflows and database integrations. The platform operates across local computers, Linux systems, remote servers, and HPC environments while managing the computational infrastructure needed for each analysis. Built-in connectors allow laboratories to integrate internal APIs, electronic lab notebooks, custom pipelines, and scientific software into existing research environments. Scientists can continue using their established workflows while adding AI-powered automation, reasoning, and computational assistance where it provides the greatest value.
