Best Data Management Software for Adobe Commerce

Find and compare the best Data Management software for Adobe Commerce in 2024

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

  • 1
    Supermetrics Reviews

    Supermetrics

    Supermetrics

    $29 per month
    Supermetrics began with a bold idea: to make marketing data simple and accessible for businesses everywhere. What started as a small project has grown into a pioneering marketing intelligence platform trusted by over 200K organizations worldwide, including renowned brands like Nestlé, Warner Bros, and Dyson. From the beginning, Supermetrics has been driven by a mission to empower marketers and data analysts with seamless data access and mastery, no matter where they are on their journey. The platform has evolved into an easy-to-use solution that extracts and consolidates data from over 150 marketing and sales platforms—like Google Analytics, Facebook Ads, and HubSpot—into preferred destinations, helping teams streamline their analytics and make data-driven decisions. This dedication to innovation earned Supermetrics a spot on G2’s 2024 Top 50 Best EMEA Software Companies list. At the heart of Supermetrics is a commitment to transparency, innovation, and customer success. We believe data has the power to tell stories, solve problems, and create opportunities. As the marketing landscape evolves, Supermetrics remains committed to leading the way, helping clients not only succeed but excel with cutting-edge solutions.
  • 2
    StarfishETL Reviews

    StarfishETL

    StarfishETL

    400/month
    StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.
  • 3
    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.
  • 4
    Supplysail Reviews

    Supplysail

    Supplysail

    $799 per month
    This is the best way to create, enrich, and share your product information. It's easy to share product information with clients, websites, and eCommerce platforms. All your product information can be stored on one platform. Import product data from multiple sources, such as Excel, Product Sheets, etc. Collect the work of different teams into one place. You can collaborate to enrich your product data by adding content, images, videos, or other attributes. You can manage all your product data from one place and have it automatically updated across channels. All your product information can be created, enhanced, and shared using one platform. You can create and manage online product catalogues that are accurate, current, and easy to use. With accurate product data on your website, you can improve customer experience. Our easy-to-use templates make it easy to create print-ready product sheets. Collaboratively enrich your product data with images and text.
  • 5
    Kleene Reviews
    Easy data management will power your business. Connect, transform and visualise your data quickly and scalable. Kleene allows you to easily access all of the data in your SaaS application. Once the data has been extracted, it's stored and organized into a cloud data warehouse. The data is cleaned up and organized to be used for analysis. Dashboards that are easy to use to gain insights and make data driven decisions to drive your growth. Never waste time again creating your own data pipelines. 150+ pre-built data connectors library. Custom connectors can be built on demand. Always work with the latest data. Setup your data warehouse within minutes, without any engineering. Our unique transformation tools will accelerate your data model creation. Best-in class data pipeline management and observability. Kleene offers industry-leading dashboard templates. Our industry expertise will help you to improve your dashboards.
  • 6
    Salesforce Data Cloud Reviews
    Salesforce Data Cloud is an online data platform that allows businesses to collect, harmonize, and analyze data in real time. This creates a 360-degree customer profile which can be used across Salesforce's various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. It allows businesses collect, harmonize and analyze data in real-time, creating a 360° customer profile that can then be used across Salesforce's different applications, including Marketing Cloud, Sales Cloud and Service Cloud. This platform allows for faster, more personal customer interactions through the integration of data from online and off-line channels, such as CRM data, transactional information, and third-party sources. Salesforce Data Cloud offers advanced AI and analytics capabilities that help organizations gain deeper insight into customer behavior, and predict future needs. Salesforce Data Cloud helps improve customer experiences, target marketing, and data-driven decision making across departments by centralizing and refining the data.
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