Find and compare the best Artificial Intelligence software for Hadoop in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Hadoop on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.
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Netdata
Netdata, Inc.
Free 20 RatingsMonitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation. -
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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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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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Elastic Observability
Elastic
$16 per monthLeverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly. -
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Superblocks
Superblocks
$0 per monthSuperblocks is a programmable, IDE that allows developers to create any internal app, workflow or scheduled job in a fraction of time and cost. Next month's roadmap will be available this week. Rapidly create apps, workflows and jobs that are connected to your data. Secure your data with granular permissions (RBAC), SSO and audit logs. Monitor production and deploy with Git. You can extend anything with code. You don't need to know HTML, CSS, or React. Drag and drop components, connect them with data, and make your app dynamic using trigger APIs. To improve the speed of your support team, you can create custom KYC, Compliance, AML and credit approval tools. Stop wasting time with CLIs. You can quickly create admin panels for your datastores so you can read, write, or update customer data using tables, forms, charts, and other tools. You can track deployment status and monitor versions from one pane of glass. Any deployment system you use can be read/written to. Clark is the first AI agent purpose-built for securely creating internal enterprise apps at scale. Designed to work within your company’s existing infrastructure, Clark uses your design systems, access controls, and private APIs to generate fully compliant internal tools. With the ability to build through AI prompts, drag-and-drop interfaces, or your favorite IDE, Clark unites business users and developers on a single governed platform. -
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Akira AI
Akira AI
$15 per monthAkira.ai offers organizations a suite of Agentic AI, which comprises tailored AI agents aimed at refining and automating intricate workflows across multiple sectors. These agents work alongside human teams to improve productivity, facilitate prompt decision-making, and handle monotonous tasks, including data analysis, HR operations, and incident management. The platform is designed to seamlessly integrate with current systems such as CRMs and ERPs, enabling a smooth shift to AI-driven processes without disruption. By implementing Akira’s AI agents, businesses can enhance their operational efficiency, accelerate decision-making, and foster innovation in industries such as finance, IT, and manufacturing. Ultimately, this collaboration between AI and human teams paves the way for significant advancements in productivity and operational excellence. -
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Indexima Data Hub
Indexima
$3,290 per monthTransform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations. -
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Inferyx
Inferyx
FreeBreak free from the limitations of application silos, budget overruns, and outdated skills by leveraging our advanced data and analytics platform to accelerate growth. This sophisticated platform is tailored for effective data management and in-depth analytics, facilitating seamless scaling across various technological environments. Our innovative architecture is designed to comprehend the flow and transformation of data throughout its entire lifecycle. This capability supports the creation of resilient enterprise AI applications that can withstand future challenges. With a highly modular and flexible design, our platform accommodates a diverse range of components, allowing for effortless integration. Its multi-tenant architecture is specifically crafted to promote scalability. Additionally, advanced data visualization tools simplify the analysis of intricate data structures, leading to improved enterprise AI application development within an intuitive, low-code predictive environment. Built on a unique hybrid multi-cloud framework utilizing open-source community software, our platform is highly adaptable, secure, and cost-effective, making it an ideal choice for organizations seeking efficiency and innovation. Furthermore, this platform not only empowers businesses to harness their data effectively but also enhances collaboration across teams, fostering a culture of data-driven decision-making. -
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Alteryx
Alteryx
Embrace a groundbreaking age of analytics through the Alteryx AI Platform. Equip your organization with streamlined data preparation, analytics powered by artificial intelligence, and accessible machine learning, all while ensuring governance and security are built in. This marks the dawn of a new era for data-driven decision-making accessible to every user and team at all levels. Enhance your teams' capabilities with a straightforward, user-friendly interface that enables everyone to develop analytical solutions that boost productivity, efficiency, and profitability. Foster a robust analytics culture by utilizing a comprehensive cloud analytics platform that allows you to convert data into meaningful insights via self-service data preparation, machine learning, and AI-generated findings. Minimize risks and safeguard your data with cutting-edge security protocols and certifications. Additionally, seamlessly connect to your data and applications through open API standards, facilitating a more integrated and efficient analytical environment. By adopting these innovations, your organization can thrive in an increasingly data-centric world. -
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Datatron
Datatron
Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions. -
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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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iFinder
IntraFind Software
IntraFind's iFinder offers a comprehensive search solution that serves as a hub for all of your organization’s data. This platform seamlessly connects to various data sources within your enterprise. As your data repositories expand, iFinder prepares you for the future: leveraging Elasticsearch technology, it can effortlessly scale to accommodate any data volume. By utilizing artificial intelligence, it enhances search outcomes, providing intelligent enterprise search capabilities. Whether your essential documents and information reside on company drives, intranet pages, wikis, or email systems, iFinder streamlines the process of locating them. Embrace the next phase of your organization's digital evolution by centralizing access to all data through our innovative enterprise search solution. By implementing iFinder, you're not just enhancing search efficiency; you're also optimizing how your team interacts with information. -
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ScriptString
ScriptString
Enhance your understanding of documents and make informed decisions with assurance. Are you weary of the challenges posed by manual processing, tight deadlines, budget constraints, and constantly evolving compliance regulations? Effortlessly collect and integrate your cloud expenditure data in half the time and at a fraction of the cost. With suggested cost reductions and expert advice, you could potentially save over 50% on your total expenses. Achieve comprehensive visibility of your cloud spending through KPI monitoring, real-time analytics, and actionable recommendations. Experience built-in reassurance with security and compliance measures designed to adhere to any regulatory standards. You can gather data through various channels, including portals, emails, APIs, repositories, tables, data lakes, or third-party sources. The automated AI-driven intelligent document processing minimizes manual workload, while the smart review of document knowledge detects anomalies, duplicates, and mistakes. Utilize ScriptString's Knowledge Relationship Indexing to effortlessly pinpoint critical information amidst vast data sets. This innovative approach not only streamlines your processes but also transforms the way you manage your cloud spending. -
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Deeplearning4j
Deeplearning4j
DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries. -
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Yottamine
Yottamine
Our cutting-edge machine learning technology is tailored to effectively forecast financial time series, even when only a limited number of training data points are accessible. While advanced AI can be resource-intensive, YottamineAI harnesses the power of the cloud, negating the need for significant investments in hardware management, which considerably accelerates the realization of higher ROI. We prioritize the security of your trade secrets through robust encryption and key protection measures. Adhering to AWS's best practices, we implement strong encryption protocols to safeguard your data. Additionally, we assess your current or prospective data to facilitate predictive analytics that empower you to make informed, data-driven decisions. For those requiring project-specific predictive analytics, Yottamine Consulting Services offers tailored consulting solutions to meet your data-mining requirements effectively. We are committed to delivering not only innovative technology but also exceptional customer support throughout your journey. -
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Wherobots
Wherobots
Wherobots provides a seamless way for users to create, test, and implement geospatial data analytics and AI pipelines directly within their current data ecosystem, with the option for cloud deployment. This solution alleviates concerns regarding resource management, scalability of workloads, and the complexities of geospatial processing and optimization. By linking your Wherobots account to the cloud database housing your data via our user-friendly SaaS web interface, you can efficiently build your geospatial data science, machine learning, or analytics applications using the Sedona Developer Tool. You can also automate the deployment of your geospatial pipeline to the cloud data platform while monitoring its performance through Wherobots. The results of your geospatial analytics tasks can be accessed in various ways, such as through a single geospatial map visualization or via API calls, ensuring flexibility in how insights are utilized. This comprehensive approach makes geospatial analytics more accessible and manageable for users at all levels of expertise. -
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Apache Mahout
Apache Software Foundation
Apache Mahout is an advanced and adaptable machine learning library that excels in processing distributed datasets efficiently. It encompasses a wide array of algorithms suitable for tasks such as classification, clustering, recommendation, and pattern mining. By integrating seamlessly with the Apache Hadoop ecosystem, Mahout utilizes MapReduce and Spark to facilitate the handling of extensive datasets. This library functions as a distributed linear algebra framework, along with a mathematically expressive Scala domain-specific language, which empowers mathematicians, statisticians, and data scientists to swiftly develop their own algorithms. While Apache Spark is the preferred built-in distributed backend, Mahout also allows for integration with other distributed systems. Matrix computations play a crucial role across numerous scientific and engineering disciplines, especially in machine learning, computer vision, and data analysis. Thus, Apache Mahout is specifically engineered to support large-scale data processing by harnessing the capabilities of both Hadoop and Spark, making it an essential tool for modern data-driven applications. -
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Determined AI
Determined AI
With Determined, you can engage in distributed training without needing to modify your model code, as it efficiently manages the provisioning of machines, networking, data loading, and fault tolerance. Our open-source deep learning platform significantly reduces training times to mere hours or minutes, eliminating the lengthy process of days or weeks. Gone are the days of tedious tasks like manual hyperparameter tuning, re-running failed jobs, and the constant concern over hardware resources. Our advanced distributed training solution not only surpasses industry benchmarks but also requires no adjustments to your existing code and seamlessly integrates with our cutting-edge training platform. Additionally, Determined features built-in experiment tracking and visualization that automatically logs metrics, making your machine learning projects reproducible and fostering greater collaboration within your team. This enables researchers to build upon each other's work and drive innovation in their respective fields, freeing them from the stress of managing errors and infrastructure. Ultimately, this streamlined approach empowers teams to focus on what they do best—creating and refining their models. -
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MLlib
Apache Software Foundation
MLlib, the machine learning library of Apache Spark, is designed to be highly scalable and integrates effortlessly with Spark's various APIs, accommodating programming languages such as Java, Scala, Python, and R. It provides an extensive range of algorithms and utilities, which encompass classification, regression, clustering, collaborative filtering, and the capabilities to build machine learning pipelines. By harnessing Spark's iterative computation features, MLlib achieves performance improvements that can be as much as 100 times faster than conventional MapReduce methods. Furthermore, it is built to function in a variety of environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud infrastructures, while also being able to access multiple data sources, including HDFS, HBase, and local files. This versatility not only enhances its usability but also establishes MLlib as a powerful tool for executing scalable and efficient machine learning operations in the Apache Spark framework. The combination of speed, flexibility, and a rich set of features renders MLlib an essential resource for data scientists and engineers alike. -
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Unravel
Unravel Data
Unravel empowers data functionality across various environments, whether it’s Azure, AWS, GCP, or your own data center, by enhancing performance, automating issue resolution, and managing expenses effectively. It enables users to oversee, control, and optimize their data pipelines both in the cloud and on-site, facilitating a more consistent performance in the applications that drive business success. With Unravel, you gain a holistic perspective of your complete data ecosystem. The platform aggregates performance metrics from all systems, applications, and platforms across any cloud, employing agentless solutions and machine learning to thoroughly model your data flows from start to finish. This allows for an in-depth exploration, correlation, and analysis of every component within your contemporary data and cloud infrastructure. Unravel's intelligent data model uncovers interdependencies, identifies challenges, and highlights potential improvements, providing insight into how applications and resources are utilized, as well as distinguishing between effective and ineffective elements. Instead of merely tracking performance, you can swiftly identify problems and implement solutions. Utilize AI-enhanced suggestions to automate enhancements, reduce expenses, and strategically prepare for future needs. Ultimately, Unravel not only optimizes your data management strategies but also supports a proactive approach to data-driven decision-making.
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