Best Artificial Intelligence Software for Hadoop
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Compare the Top Artificial Intelligence Software that integrates with Hadoop as of December 2025
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This a list of Artificial Intelligence software that integrates with Hadoop. Use the filters on the left to add additional filters for products that have integrations with Hadoop. View the products that work with Hadoop in the table below.
What is Artificial Intelligence Software for Hadoop?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for Hadoop currently available using the table below. This list is updated regularly.
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Composable DataOps Platform
Composable Analytics
Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.Starting Price: $8/hr - pay-as-you-go -
2
Netdata
Netdata, Inc.
The open-source observability platform everyone needs! 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 Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.Starting Price: Free -
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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 -
4
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. -
5
Elastic Observability
Elastic
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.Starting Price: $16 per month -
6
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 -
7
Akira AI
Akira AI
Akira.ai provides businesses with Agentic AI, a set of specialized AI agents designed to optimize and automate complex workflows across various industries. These AI agents collaborate with human teams, enhancing productivity, making real-time decisions, and automating repetitive tasks, such as data analysis, incident management, and HR processes. The platform integrates smoothly with existing systems, including CRMs and ERPs, ensuring a disruption-free transition to AI-enhanced operations. Akira’s AI agents help businesses streamline their operations, increase decision-making speed, and boost overall efficiency, driving innovation across sectors like manufacturing, finance, and IT.Starting Price: $15 per month -
8
Indexima Data Hub
Indexima
Reshape your perception of time in data analytics. Instantly access your business’ data in no time and work directly on your dashboard without going back and forth with the IT team. Meet Indexima DataHub, a new space-time where operational and functional users gain instant access to their data, in no time. With a combination of its unique indexing engine and machine learning, Indexima allows businesses to access all their data to simplify and speed up analytics. Robust and scalable, the solution allows organizations to query all their data directly at the source, in volumes of tens of billions of rows in just a few milliseconds. Our Indexima platform allows users to implement instant analytics on all their data in just one click. Thanks to Indexima’s new ROI and TCO calculator, find out in 30 seconds the ROI of your data platform. Infrastructure costs, project deployment time, and data engineering costs, while boosting your analytical performances.Starting Price: $3,290 per month -
9
Inferyx
Inferyx
Move past application silos, cost overrun, and skill obsolescence to scale faster with our intelligent data and analytics platform. An intelligent platform built to perform data management and advanced analytics. Helps you scale across the technology landscape. Our architecture understands how data flows and transforms throughout its lifecycle. Enabling the development of future-proof enterprise AI applications. A highly modular and extensible platform that enables the handling of multifold components. Designed to scale with a multi-tenant architecture. Analyzing complex data structures is made easy using advanced data visualization. Resulting in enhanced enterprise AI app development in an intuitive and low-code predictive platform. Our unique hybrid multi-cloud platform is built using open source community software which makes it immensely adaptive, highly secure, and essentially low-cost.Starting Price: Free -
10
Alteryx
Alteryx
Step into a new era of analytics with the Alteryx AI Platform. Empower your organization with automated data preparation, AI-powered analytics, and approachable machine learning — all with embedded governance and security. Welcome to the future of data-driven decisions for every user, every team, every step of the way. Empower your teams with an easy, intuitive user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Build an analytics culture with an end-to-end cloud analytics platform and transform data into insights with self-service data prep, machine learning, and AI-generated insights. Reduce risk and ensure your data is fully protected with the latest security standards and certifications. Connect to your data and applications with open API standards. -
11
Datatron
Datatron
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance. -
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Secuvy AI
Secuvy
Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data. -
13
iFinder
IntraFind Software
IntraFind's Enterprise Search solution iFinder is a central search platform for all of your company's data. iFinder can be connected to all of the data sources within your company. Are your data pools constantly growing? With iFinder you are well equipped for the future: our product is based on Elasticsearch technology and can therefore adapt to any volume of data with ease. It also improves search results by deploying artificial intelligence to deliver smart enterprise search functionality. iFinder helps you find important data and documents, whether they are located on a company drive, on the intranet, in wikis, or in e-mail systems. Take the next step in your company’s digital transformation by centralizing access to all company data with our enterprise search application. iFinder improves search results by deploying artificial intelligence to deliver smart enterprise search functionality. -
14
ScriptString
ScriptString
Optimize your document knowledge and make critical decisions with confidence. Tired of manual processing, time constraints, budget pressures and shifting compliance requirements? Hassle free collection and integration of your cloud spend data in half the time at half the cost. Recommended cost savings and guidance to save more than 50% of total spend. Gain 360° visibility of your entire cloud spend with KPI tracking, real-time insights and recommendations. Built-in peace of mind with security and compliance protection to meet any standards. Gather data via portal, email, API, repository, table, data lake or 3rd party data source. Automated AI powered intelligent document processing eliminates manual effort. Intelligent review of document knowledge identifies anomalies, duplicates and errors. Find the needle in the haystack with ScriptString's Knowledge Relationship Indexing. -
15
Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers. -
16
Yottamine
Yottamine
Our highly innovative machine learning technology is designed specifically to accurately predict financial time series where only a small number of training data points are available. Advance AI is computationally consuming. YottamineAI leverages the cloud to eliminate the need to invest time and money on managing hardware, shortening the time to benefit from higher ROI significantly. Strong encryption and protection of keys ensure trade secrets stay safe. We follow the best practices of AWS and utilize strong encryption to secure your data. We evaluate how your existing or future data can generate predictive analytics in helping you make information-based decisions. If you need predictive analytics on a project basis, Yottamine Consulting Services provides project-based consulting to accommodate your data-mining needs. -
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Wherobots
Wherobots
Wherobots enables users to easily develop, test, and deploy geospatial data analytics and AI pipelines within the user's existing data stack. That can be deployed in the cloud. Users do not have to worry about the hassle of resource administration, workload scalability, and geospatial processing support/optimization. Connect your Wherobots account to the cloud database where the data is stored using our SaaS web interface. Develop your geospatial data science, machine learning, or analytics application using Sedona Developer Tool. Schedule automatic deployment of your geospatial pipeline to the cloud data platform and monitor the performance in Wherobots. Consume the outcome of your geospatial analytics task. The consumption model can be through a single geospatial map visualization or API calls. -
18
Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
19
Determined AI
Determined AI
Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure. -
20
MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
21
Unravel
Unravel Data
Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.
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