Find and compare the best Artificial Intelligence software for Apache Cassandra in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Apache Cassandra on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
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Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.
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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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InsightFinder
InsightFinder
$2.5 per core per monthInsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved. -
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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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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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Intel Tiber AI Studio
Intel
Intel® Tiber™ AI Studio serves as an all-encompassing machine learning operating system designed to streamline and unify the development of artificial intelligence. This robust platform accommodates a diverse array of AI workloads and features a hybrid multi-cloud infrastructure that enhances the speed of ML pipeline creation, model training, and deployment processes. By incorporating native Kubernetes orchestration and a meta-scheduler, Tiber™ AI Studio delivers unparalleled flexibility for managing both on-premises and cloud resources. Furthermore, its scalable MLOps framework empowers data scientists to seamlessly experiment, collaborate, and automate their machine learning workflows, all while promoting efficient and cost-effective resource utilization. This innovative approach not only boosts productivity but also fosters a collaborative environment for teams working on AI projects. -
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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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StreamFlux
Fractal
Data plays an essential role in the process of establishing, optimizing, and expanding your enterprise. Nevertheless, fully harnessing the potential of data can prove difficult as many businesses encounter issues like limited data access, mismatched tools, escalating expenses, and delayed outcomes. In simple terms, those who can effectively convert unrefined data into actionable insights will excel in the current business environment. A crucial aspect of achieving this is enabling all team members to analyze, create, and collaborate on comprehensive AI and machine learning projects efficiently and within a unified platform. Streamflux serves as a comprehensive solution for addressing your data analytics and AI needs. Our user-friendly platform empowers you to construct complete data solutions, utilize models to tackle intricate inquiries, and evaluate user interactions. Whether your focus is on forecasting customer attrition, estimating future earnings, or crafting personalized recommendations, you can transform raw data into meaningful business results within days rather than months. By leveraging our platform, organizations can not only enhance efficiency but also foster a culture of data-driven decision-making. -
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Langflow
Langflow
Langflow serves as a low-code AI development platform that enables the creation of applications utilizing agentic capabilities and retrieval-augmented generation. With its intuitive visual interface, developers can easily assemble intricate AI workflows using drag-and-drop components, which streamlines the process of experimentation and prototyping. Being Python-based and independent of any specific model, API, or database, it allows for effortless integration with a wide array of tools and technology stacks. Langflow is versatile enough to support the creation of intelligent chatbots, document processing systems, and multi-agent frameworks. It comes equipped with features such as dynamic input variables, fine-tuning options, and the flexibility to design custom components tailored to specific needs. Moreover, Langflow connects seamlessly with various services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers have the option to work with pre-existing components or write their own code, thus enhancing the adaptability of AI application development. The platform additionally includes a free cloud service, making it convenient for users to quickly deploy and test their projects, fostering innovation and rapid iteration in AI solutions. As a result, Langflow stands out as a comprehensive tool for anyone looking to leverage AI technology efficiently. -
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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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