Best Data Governance Software for Docker

Find and compare the best Data Governance software for Docker in 2025

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

  • 1
    IDHub Reviews

    IDHub

    Sath

    $1 per month
    From a single location, you can manage who has access to which business applications and services. Drag-and-drop GUI allows non-technical users to design workflows, forms, or processes. Friendly user interfaces increase adoption and encourage user training. Filter and schedule compliance certifications by user, group, application. Support staff available 24/7. Regular documentation and video walkthrough updates. Team leaders can't control their apps or users without code design. You can create static or dynamic attributes-based roles to grant entitlements and access. All features are available in a simple, per-user pricing. No hidden "feature" costs. Eliminate passwords, hacking attacks, and IT service request for password resets. Each resource, regardless of whether it's a service or entitlement request, role, or application, must follow a specific approval process known as the approval workflow.
  • 2
    IRI Voracity Reviews

    IRI Voracity

    IRI, The CoSort Company

    IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.
  • 3
    DataOps.live Reviews
    Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.
  • 4
    Astro Reviews
    Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.
  • 5
    Commvault Cloud Reviews
    Commvault Cloud is an all-in-one cyber resilience platform designed to secure, manage, and recover data across hybrid, multi-cloud, and SaaS environments. Leveraging Metallic AI, it provides intelligent threat detection, automated compliance enforcement, and rapid disaster recovery solutions such as Cleanroom Recovery and Cloudburst Recovery. The platform enhances data security with proactive risk assessments, cyber deception techniques, and real-time threat hunting to prevent breaches. With infrastructure-as-code automation, organizations can ensure seamless data recovery, business continuity, and minimal downtime. Commvault Cloud simplifies data protection through a unified interface, empowering businesses to safeguard critical assets and quickly respond to cyber incidents.
  • 6
    Tokern Reviews
    Open source data governance suite to manage data lakes and databases. Tokern is an easy-to-use toolkit for collecting, organizing and analysing metadata from data lakes. Runs as a command-line application for quick tasks. Run as a service to continuously collect metadata. Use reporting dashboards to analyze lineage, access control, and PII data. Or programmatically in Jupyter notebooks. Tokern is an open-source data governance suite for data lakes and databases. You can improve the ROI of your data, comply to regulations like HIPAA, CCPA, and GDPR, and protect your data from insider threats with confidence. Centralized metadata management for users, jobs, and datasets. Other data governance features are powered by this feature. Track column-level data lineage for Snowflake and AWS Redshift. You can build lineage using query history or ETL scripts. Interactive graphs and programming with APIs and SDKs allow you to explore lineage.
  • 7
    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.
  • Previous
  • You're on page 1
  • Next