Best Predictive Analytics Software for Amazon Redshift

Find and compare the best Predictive Analytics software for Amazon Redshift in 2024

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

  • 1
    Qrvey Reviews
    See Software
    Learn More
    Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house. Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience. Qrvey's solution offers: - Built-in data lake powered by Elasticsearch - A unified data pipeline to ingest and analyze any type of data - The most embedded components - all JS, no iFrames - Fully personalizable to offer personalized experiences to users With Qrvey, you can build less software and deliver more value.
  • 2
    Quaeris Reviews

    Quaeris

    Quaeris, Inc.

    $250 per month
    3 Ratings
    Top Pick See Software
    Learn More
    Voice and written support makes it easy to get answers. Based on your interests, history, and role, you will receive personalized and recommended results. Quaeris provides near-real-time data access for all data. Quaeris enhances your existing dashboards. To increase knowledge sharing and track performance, teams can share insights and pinboards. Ask questions in plain English. There's no need for keywords or queries. Our advanced AI engine transforms your inquiry to a database-ready language within seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.
  • 3
    JMP Statistical Software Reviews

    JMP Statistical Software

    JMP Statistical Software

    $1500.00/year/user
    1 Rating
    JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.
  • 4
    Pecan Reviews

    Pecan

    Pecan AI

    $950 per month
    Founded in 2018, Pecan is a predictive analytics platform that leverages its pioneering Predictive GenAI to remove barriers to AI adoption, making predictive modeling accessible to all data and business teams. Guided by generative AI, companies can obtain precise predictions across various business domains without the need for specialized personnel. Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. With Pecan's fusion of predictive and generative AI, realizing the business impact of AI is now far faster and easier.
  • 5
    Tableau CRM Reviews

    Tableau CRM

    Tableau

    $50 per user per month
    Find out the story your data has. Tableau CRM (formerly Einstein Analytics), empowers Salesforce CRM users with actionable insight and AI-driven analysis right in their workflow. You can work more efficiently, spot trends quicker, predict outcomes, as well as receive AI-based guidance on the best actions to take while you are still in the flow. The action framework allows you to take action on a record, such as updating records, collaborating in Chatter and sharing visualizations with your team. Salesforce is natively integrated with Tableau CRM so data can seamlessly be incorporated into every action and decision made in Salesforce. For fast decision-making, use trusted predictive models in your Tableau workflows. Tableau CRM helps you spot opportunities and predict the outcome.
  • 6
    Amazon QuickSight Reviews
    Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.
  • 7
    Alteryx Reviews
    Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.
  • 8
    B2Metric Reviews

    B2Metric

    B2Metric

    $99 per month
    Platform for customer intelligence data that helps brands analyze user behavior across multiple channels. Analyze data quickly and accurately. AI and ML solutions can help you identify customer behavior patterns to make informed decisions. B2Metric integrates with a wide range of sources, including databases that you use most often. Optimize your retention strategy by predicting churn in customers and taking preventive action accordingly. To enable targeted marketing, categorize customers based on their characteristics, behaviors, and preferences. Optimize marketing strategies by leveraging data-driven insights. This will improve performance, target, personalization and budget. Optimizing touchpoints and tailoring your marketing efforts will help you provide unique customer experiences. AI-based marketing analytics to reduce user churn and increase growth. Advanced ML algorithms can identify customers at risk of churning and develop proactive retention strategy.
  • 9
    TrendMiner Reviews
    TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.
  • 10
    Continual Reviews
    Without complex engineering, build predictive models that can never stop improving. Connect to your cloud data warehouse and get all of your data right where it is. You can share features and create state-of-the art ML models using only SQL or dbt, or extend with Python. Predictions can be stored directly in your data warehouse, making them available for your BI and other operational tools. You can maintain features and predictions directly within your data warehouse without the need for new infrastructure. Create state-of the-art models that make use of all your data, without having to write code or create pipelines. Continual's declarative engine AI engine allows you to unify analytics and AI teams. As you scale, manage features, models, policies and workflows with declarative GitOps. Accelerate model development using a shared feature store, and a data-first workflow.
  • 11
    DigDash Reviews
    Your business generates many data every day. This data can be invaluable if it is used correctly. This strategic information, when gathered together, opens up a vast array of possibilities. DigDash is a trusted partner in business intelligence. We can help you to exploit your data and improve your performance today. DigDash is there for you, from design to deployment, and all questions to development, in a close partnership. DigDash's DNA is flexible. We are committed to continuous improvement. Our software is easy to use at all levels. This software is a market leader. Our tool adapts to any business' operational vision. Your managers can make rational decisions by having real-time visibility of all your activities, including marketing, finance, sales, and HR.
  • 12
    Zepl Reviews
    All work can be synced, searched and managed across your data science team. Zepl's powerful search allows you to discover and reuse models, code, and other data. Zepl's enterprise collaboration platform allows you to query data from Snowflake or Athena and then build your models in Python. For enhanced interactions with your data, use dynamic forms and pivoting. Zepl creates new containers every time you open your notebook. This ensures that you have the same image each time your models are run. You can invite your team members to join you in a shared space, and they will be able to work together in real-time. Or they can simply leave comments on a notebook. You can share your work with fine-grained access controls. You can allow others to read, edit, run, and share your work. This will facilitate collaboration and distribution. All notebooks can be saved and versioned automatically. An easy-to-use interface allows you to name, manage, roll back, and roll back all versions. You can also export seamlessly into Github.
  • Previous
  • You're on page 1
  • Next