Best Machine Learning Software for Firebase

Find and compare the best Machine Learning software for Firebase in 2025

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

  • 1
    Google Cloud BigQuery Reviews
    ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys
  • 2
    Synerise Reviews
    Synerise, an AI-driven Customer Data & Experience Platform (CDXP), centralizes customer data to enhance marketing and engagement. Key strengths include real-time capabilities, advanced AI, quick setup, and personalized omnichannel experiences. Pay-as-you-go pricing available. Key Strengths of Synerise Synerise excels in several key areas that set it apart from other platforms: - Real-time capabilities. Powered by TerrariumDB, our proprietary database engine designed specifically for behavioural intelligence, real-time computing - AI Engine. The quality of AI algorithms confirmed by successful participation in: Rakuten Data Challenge 2020; Twitter RecSys AI Challenge 2021; KDD Cup 2021; Booking.com AI Challenge 2021 - Time-To-Market. Confirmed by numerous successful implementations across various clients from various industries. Benefits that Synerise brings: - Increase conversion through super-targeted AI product recommendations - Increased sales through personalised search results - Reduce costs by predicting customer behaviour - propensity to act - Reduce operational costs with an all-in-one tool - Optimise ROI through usage-based billing mod - Enhance customer experience and loyalty
  • 3
    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.
  • 4
    ML Kit Reviews
    ML Kit provides Google's machine-learning expertise to mobile developers in a simple-to-use package. Optimized for Android and iOS devices, these solutions will make your apps more engaging, personalized and helpful. The processing of ML Kit takes place on-device. This makes it extremely fast and allows for real-time applications such as processing camera input. It can also be used offline to process images and text that must remain on the device. Make use of the machine learning technology that powers Google's mobile experiences. Our machine learning models are complemented by advanced processing pipelines. We offer these APIs through simple-to-use APIs that allow you to create powerful use cases for your apps. Handwritten text and handdrawn forms can be recognized on a digital surface such as a touch screen. Recognizes more than 300 languages, emojis, and basic shapes.
  • Previous
  • You're on page 1
  • Next