Best IT Management Software for DataStax

Find and compare the best IT Management software for DataStax in 2026

Use the comparison tool below to compare the top IT Management software for DataStax on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
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    Revolutionize your IT management with New Relic. Gain strategic insights and enhance operational performance using New Relic's state-of-the-art observability platform, built to provide unmatched transparency and control. Our tool offers a comprehensive overview of your IT ecosystem, bringing together data from various systems to optimize operations, improve decision-making, and achieve successful business results. Track performance in real-time, detect and address issues before they escalate, and ensure efficient resource distribution through insightful analytics. Encourage collaboration between IT and business sectors, synchronize technology investments with corporate objectives, and confidently navigate the intricate landscape of contemporary IT. New Relic redefines IT management as a key driver of growth and innovation, all while ensuring streamlined operations.
  • 2
    Kubernetes Reviews
    Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.
  • 3
    Knowi Reviews
    Business Intelligence, AI & NLP are available to anyone who wants to make data-driven business decisions. Knowi instantly transforms data into insights and data-driven actions. No ETL. No ODBC drivers. Simply connect your datasources to start building queries. It's that simple. In a matter of minutes, you can create blended datasets by joining data sources from NoSQL and SQL, REST API, and even file-based sources. Click. Done. We have combined the power and natural language queries of AI to create a new self-service experience in BI that makes it easier to find and reveal new insights. The data we have today is large and scattered. A business intelligence solution is required to instantly connect to modern data. Knowi is the only full-stack analytics platform that integrates natively to all popular NoSQL data sources, as well as relational or Cloud APIs.
  • 4
    JupiterOne Reviews

    JupiterOne

    JupiterOne

    $2000 per month
    Go beyond asset management. Turn complexity into capability. Our cyber asset analysis platform empowers security teams by providing total visibility into the assets, context and risks that make up their attack surface. With JupiterOne, organizations transform asset visibility from frustration into strength.
  • 5
    Astra DB Reviews
    Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.
  • 6
    Astra Streaming Reviews
    Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.
  • 7
    WEKA Reviews
    WEKA is an advanced data platform that delivers exceptional performance, scalability, and efficiency for AI, machine learning, and high-performance computing applications. By breaking down data silos, WEKA enables seamless integration across cloud and on-premise environments, allowing businesses to manage and analyze vast data sets effortlessly. The platform supports a variety of use cases, including HPC, AI inferencing, and generative AI, with robust infrastructure that accelerates model training and optimizes performance at scale. Additionally, WEKA emphasizes sustainability by reducing energy usage, offering a future-ready solution for data-driven innovation.
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