Best Data Warehouse Software for Salesforce Marketing Cloud

Find and compare the best Data Warehouse software for Salesforce Marketing Cloud in 2024

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

  • 1
    Grow Reviews
    Grow is a full-stack, no-code business intelligence (BI), platform that empowers everyone within your organization to make data-driven decision. Any organization can connect to its data and discover insights by combining ETL, data warehouses, and visualization in one platform. Our unlimited-user license model allows everyone to access the answers they seek without having to wait for an analyst. Everyone can now make great decisions in real time to accelerate their growth. Plus: Unlimited Users - More than 100 Integrations - No SQL required (but still available for use) - BI Consultants Support - Simple ETL Dynamic Dashboards
  • 2
    COZYROC SSIS+ Suite Reviews
    COZYROC's SSIS+ suite includes 270+ Data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services.
  • 3
    Sesame Software Reviews
    When you have the expertise of an enterprise partner combined with a scalable, easy-to-use data management suite, you can take back control of your data, access it from anywhere, ensure security and compliance, and unlock its power to grow your business. Why Use Sesame Software? Relational Junction builds, populates, and incrementally refreshes your data automatically. Enhance Data Quality - Convert data from multiple sources into a consistent format – leading to more accurate data, which provides the basis for solid decisions. Gain Insights - Automate the update of information into a central location, you can use your in-house BI tools to build useful reports to avoid costly mistakes. Fixed Price - Avoid high consumption costs with yearly fixed prices and multi-year discounts no matter your data volume.
  • 4
    Mozart Data Reviews
    Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.
  • 5
    Data Virtuality Reviews
    Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
  • 6
    Lyftrondata Reviews
    Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.
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