What Integrates with ORCA?

Find out what ORCA integrations exist in 2025. Learn what software and services currently integrate with ORCA, and sort them by reviews, cost, features, and more. Below is a list of products that ORCA currently integrates with:

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    SendGrid Reviews

    SendGrid

    Twilio SendGrid

    $19.95 per month
    8 Ratings
    Partner with the email service trusted by developers and marketers for time-savings, scalability, and delivery expertise. The Twilio SendGrid Email API and proprietary Mail Transfer Agent (MTA), intuitive console, powerful features, and email experts make it easy to ensure all your email gets delivered in seconds and without interruption. Whether you’re sending 100 emails or 100 billion, SendGrid is built to scale, while maximizing inbox placement and protecting your reputation as a trusted sender. Monitor engagement data and optimize deliverability with our Deliverability Insights dashboard. Integrate with our RESTful APIs and SMTP in minutes, with sample code libraries available in 7 languages, interactive docs, templates, and more.
  • 2
    Sage Payroll Reviews
    Sage Payroll, a cloud-based payroll system, makes it easy to manage payroll operations. Sage Payroll allows users to pay their employees using a variety of methods, including company-generated checks and paycards or direct deposit. Sage Payroll integrates easily with Sage 100, Quickbooks, Sage 50, and Sage 50. Sage Payroll allows users to monitor multiple reports and perform analysis.
  • 3
    PostgresML Reviews

    PostgresML

    PostgresML

    $.60 per hour
    PostgresML serves as a comprehensive platform integrated within a PostgreSQL extension, allowing users to construct models that are not only simpler and faster but also more scalable directly within their database environment. Users can delve into the SDK and utilize open-source models available in our hosted database for experimentation. The platform enables a seamless automation of the entire process, from generating embeddings to indexing and querying, which facilitates the creation of efficient knowledge-based chatbots. By utilizing various natural language processing and machine learning techniques, including vector search and personalized embeddings, users can enhance their search capabilities significantly. Additionally, it empowers businesses to analyze historical data through time series forecasting, thereby unearthing vital insights. With the capability to develop both statistical and predictive models, users can harness the full potential of SQL alongside numerous regression algorithms. The integration of machine learning at the database level allows for quicker result retrieval and more effective fraud detection. By abstracting the complexities of data management throughout the machine learning and AI lifecycle, PostgresML permits users to execute machine learning and large language models directly on a PostgreSQL database, making it a robust tool for data-driven decision-making. Ultimately, this innovative approach streamlines processes and fosters a more efficient use of data resources.
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