Compare the Top Customer Data Platforms (CDP) that integrate with SQL Server as of August 2025

This a list of Customer Data Platforms (CDP) that integrate with SQL Server. Use the filters on the left to add additional filters for products that have integrations with SQL Server. View the products that work with SQL Server in the table below.

What are Customer Data Platforms (CDP) for SQL Server?

Customer Data Platforms (CDPs) are software solutions designed to collect, unify, and manage customer data from various sources across an organization. These platforms aggregate data from different channels such as websites, social media, CRM systems, and purchase history, creating a centralized and comprehensive customer profile. CDPs allow businesses to segment and analyze customer data, enabling more personalized marketing and communication strategies. They also provide real-time data integration, ensuring that customer information is always up-to-date and accessible for decision-making. By leveraging CDPs, companies can enhance customer experiences, improve targeting, and drive better business outcomes. Compare and read user reviews of the best Customer Data Platforms (CDP) for SQL Server currently available using the table below. This list is updated regularly.

  • 1
    Skypoint AI Platform

    Skypoint AI Platform

    SkyPoint Cloud

    The Skypoint AI Platform is a powerful data and AI solution designed for regulated industries like healthcare, finance, and the public sector, enabling seamless data integration and advanced AI-driven automation. Built on an open-architecture data lakehouse, it consolidates structured and unstructured data into a single source of truth while ensuring governance, security, and compliance. The platform provides end-to-end AI capabilities, including business intelligence, AI agents, and copilots, helping organizations streamline operations and improve decision-making. By leveraging compound AI systems with specialized language models, retrievers, and external tools, Skypoint delivers tailored, intelligent solutions to meet industry-specific challenges.
    Starting Price: $24,995/month
  • 2
    Senzing

    Senzing

    Senzing

    Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records into common entities in real time as new data is received. The complete view of all records related to every person or organization, across all of your internal and external data sources, can help you reduce costs and enable new revenue opportunities. Companies use Senzing entity resolution API to provide highly accurate views of people, organizations, and their relationships. You can deploy the Senzing entity resolution API on premises or in cloud-native deployments. Data remains in your ecosystem and never flows to Senzing. A free proof of concept can be completed in one day on AWS or on BareMetal. Senzing makes human-intelligent decisions without any pre-training or pre-tuning.
  • 3
    Seekwell

    Seekwell

    SeekWell

    Unlock your data warehouse. Write SQL and sync the results to the apps your team operates in. Connect to Postgres, MySQL, Snowflake, Redshift, and SQL Server. Send data where your team needs it like Google Sheets, Excel, Slack and email. Schedule your queries to run hourly, daily, weekly or every 5 minutes. Your data will always be fresh and up to date. Share, tag, and discover code written by anyone on your team. Never re-write code someone else has already perfected. Share small, reusable bits of SQL with your team using Snippets. They're great for automating date formatting or metric defintions. An always up-to-date Wall Street Journal article about your company automatically refreshed and delivered to your inbox daily.
    Starting Price: $50 per month
  • 4
    Adverity

    Adverity

    Adverity GmbH

    Adverity is the fully-integrated data platform for automating the connectivity, transformation, governance and utilization of data at scale. The platform enables businesses to blend disparate datasets such as sales, finance, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and powerful data governance features, Adverity is the easiest way to get your data how you want it, where you want it, and when you need it. Adverity was founded in 2015 and is headquartered in Vienna with offices in London and New York, and currently works with leading brands and agencies including Unilever, Bosch, IKEA, Forbes, GroupM, Publicis, and Dentsu.
  • 5
    Algonomy

    Algonomy

    Algonomy

    Algonomy’s real-time CDP helps marketers provide consistent personalized customer engagement in the moment. It enables real-time activation of audiences by unifying customer identities across online and offline channels for a single view. It is built for retail with the ability to track customer behavior using 1,200+ measures and dimensions out of the box. It uses ML algorithms to create micro-segments, throw up deep insights and uncover marketing opportunities throughout the customer lifecycle.
  • 6
    Blotout

    Blotout

    Blotout

    Activate customer journeys with complete visibility using infrastructure-as-code. Blotout’s SDK offers companies all of the analytics and remarketing tools they are accustomed to, while offering best-in-class privacy preservation for the company’s users. Blotout’s SDK is out of the box compliant with GDPR, CCPA & COPPA. Blotout’s SDK uses on-device, distributed edge computing for analytics, messaging and remarketing, all without using user personal data, device IDs or IP addresses. Measure, attribute, optimize, and activate customer data with 100% customer coverage. The only stack that gives you the complete customer lifecycle by unifying event, online, and offline data sources. Establish a trusted data relationship with your customers to build loyalty and maintain compliance with the GDPR and global privacy laws.
  • 7
    Salesforce Data Cloud
    Salesforce Data Cloud is a real-time data platform designed to unify and manage customer data from multiple sources across an organization, enabling a single, comprehensive view of each customer. It allows businesses to collect, harmonize, and analyze data in real time, creating a 360-degree customer profile that can be leveraged across Salesforce’s various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. This platform enables faster, more personalized customer interactions by integrating data from online and offline channels, including CRM data, transactional data, and third-party data sources. Salesforce Data Cloud also offers advanced AI gents and analytics capabilities, helping organizations gain deeper insights into customer behavior and predict future needs. By centralizing and refining data for actionable use, Salesforce Data Cloud supports enhanced customer experiences, targeted marketing, and efficient, data-driven decision-making across departments.
  • 8
    Solitics

    Solitics

    Solitics

    Leverage Your Data In Real-Time For: Marketing Automation Retention. Automation Personalization Business Intelligence Support. Seamlessly integrate and utilize all your data, in real-time, from one place, for any business need. Enabling Companies To Build Amazing Products. Solitics centralizes your data and provides you with the best utilization tools out there. Whether it’s automation, personalization, product enhancement, analytics or execution – Solitics has got you covered! Marketing Automation. Real-time customer journeys based on all your data Personalized engagements across any marketing channel. Automated analysis of your retention and conversion performance. Machine-based decisions. Technology That Spans Across Industries. Gaming. Trading eCommerce. B2C Brands. For Marketing Teams. Best in class attribution. Analyze campaign impact on revenues across all marketing channels, using data streamed from backend sources.
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