Best Data Governance Software for Amazon DynamoDB

Find and compare the best Data Governance software for Amazon DynamoDB in 2025

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

  • 1
    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.
  • 2
    Privacera Reviews
    Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.
  • 3
    QueryPie Reviews
    QueryPie allows you to centrally manage multiple data sources and security policies from one place. Your company can be on the fast track for success without having to change the data environment. Data governance is essential in today's data-driven world. You must ensure that you adhere to data governance standards and allow many users accessing growing amounts of important information. You can establish data access policies by adding key attributes like IP address and access time. To secure data analysis and editing, privilege types can be created using SQL commands such as DML, DCL and DDL. You can view logs based upon permissions to see details of SQL events and uncover user behavior and security concerns. All history can be exported to a file for reporting purposes.
  • 4
    Codified Reviews
    Codified makes governance as simple as writing, "support engineers may only access customer data when they are assigned a support ticket". Codified includes a data catalog, a policy engine, and a workflow manager. Customers receive a streamlined, agile data governance solution which reduces operational costs and increases productivity while improving security. Data access controls are often written as ACLs, or JSON policies. These are difficult to read and write. They are also incomplete. You can't describe your organization's policies in ACLs. Codified allows you to write your policies in plain English, and provides steps to verify their accuracy and completeness.
  • 5
    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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