Best Data Management Software for Spotfire

Find and compare the best Data Management software for Spotfire in 2024

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

  • 1
    Apache Kafka Reviews

    Apache Kafka

    The Apache Software Foundation

    1 Rating
    Apache Kafka®, is an open-source distributed streaming platform.
  • 2
    Plotly Dash Reviews
    Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps
  • 3
    Data Virtuality Reviews
    Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
  • 4
    Arria NLG Studio Reviews
    NLG Studio is an Artificial Intelligence solution (AI) developed by Arria NLG to be used by small and medium-sized companies. It provides them with full-time skills similar to financial analysts. This includes spotting trends and identifying problems and forecasting what's likely next. Arria's patented technology has been used to create a SaaS-based solution that provides relevant details in just seconds via Natural Language Generation. This platform combines financial and business intelligence.
  • 5
    Vertica Reviews
    The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.
  • 6
    Shapelets Reviews
    Powerful computing at your fingertips. Parallel computing and innovative algorithms are available. What are you waiting for?! This tool is designed to empower data scientists in the business. You can get the fastest computing through an all-inclusive platform that covers time-series. Shapelets offers analytical features such as forecasting, clustering and motif discovery, discords, and causality. To make Big Data analysis more efficient, you can run, extend, and integrate your own algorithms in the Shapelets platform. Shapelets can be integrated seamlessly with any data storage and collection solution. It can also be integrated with MS Office and any other visualization software to simplify and share your insights without needing any technical knowledge. Interactive visualizations are possible because our UI integrates with the server. Our modern interface allows you to make the most out of your metadata and present it in the various visual graphs available. Shapelets allows users in the oil, gas, or energy industry to analyze operational data in real-time.
  • 7
    eLynx Technologies Reviews
    Operators who have an existing SCADA system can use the eLynx Data Historian to provide their users mobile app access, meaningful visualizations, modern data analysis, and integration capabilities. Using the eLynx Data Snapshot client, you can extract, transform and load (ETL), existing system data. Send SCADA data via MQTT directly to the eLynx Azure IoT hub. Some SCADA systems support bidirectional communication. Users can send commands back via MQTT to the SCADA system in-house. You can customize what users see and do within the app. Role-based security is available for office personnel, field operators, and third-party users. Users can create their own views, trends and reports. You can share your configurations with others or keep them private. Users can set their home page, favorites and default views to make it easy to find the data they need.
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