Compare the Top Live Chat Software that integrates with PostgreSQL as of June 2025

This a list of Live Chat software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What is Live Chat Software for PostgreSQL?

Live chat software enables businesses to communicate with website visitors or customers in real time through a chat interface. It provides a convenient and efficient way for users to get instant support, ask questions, or make inquiries without needing to call or email. Many live chat tools offer features like automated responses, chatbots, and integration with CRM or help desk systems to enhance customer experience and streamline workflows. This software is widely used in customer service, sales, and marketing to boost engagement and conversion rates. With its ability to offer quick, personalized assistance, live chat software plays a vital role in improving customer satisfaction and retention. Compare and read user reviews of the best Live Chat software for PostgreSQL currently available using the table below. This list is updated regularly.

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    Sirius

    Sirius

    Data Semantics

    The all-in-one chatbot platform that outshines all conversational platforms. Sirius is designed to optimize the workflow of employees and increase transactional conversions from conversations with your customers while having a delightful conversation flow. This chatbot platform is designed to offer complete control to administrative teams and can be deployed on multiple channels and sources within a few hours! Dive right in to explore the uber-cool, Sirius. Get the usage analytics of your user behavior with the most relevant metrics on the dashboard of SiriuBOT. Get your Power BI KPIs and reports on any channels of the bot’s chat interface withing seconds, anytime, anywhere. SiriusBOT is smart enough to understand the intent of users and enables you to completely manage them from the backend. Identify the unanswered queries by the bot and train it to become smarter for your users, with every interaction.
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