Best Customer Data Platforms (CDP) for MongoDB
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Compare the Top Customer Data Platforms (CDP) that integrate with MongoDB as of October 2025
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This a list of Customer Data Platforms (CDP) that integrate with MongoDB. Use the filters on the left to add additional filters for products that have integrations with MongoDB. View the products that work with MongoDB in the table below.
What are Customer Data Platforms (CDP) for MongoDB?
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 MongoDB currently available using the table below. This list is updated regularly.
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1
OpenDQ
Infosolve Technologies, Inc
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework: Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management Customer 360 View Data Governance Business Glossary Meta Data ManagementStarting Price: $0 -
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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. -
3
Bloomreach
Bloomreach
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include: Engagement, a marketing automation platform; Discovery, an e-commerce search solution; Content, a headless CMS; and Clarity, AI-powered conversational shopping. The company has multiple AI patents and serves global brands that include Williams-Sonoma, Bosch, Puma, and Marks & Spencer. -
4
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. -
5
Salesforce Data Cloud
Salesforce
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. -
6
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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