Best Data Governance Software for GitHub

Secure and manage all your content across distributed teams, devices and apps. Uncover new business insights, scale compliance and governance, reduce costs, and increase productivity. Right out of the box. Flexible deployment models, robust integration ecosystem, and open APIs to address the business needs of companies in diverse industries and regions, and at different levels of cloud adoption. Egnyte helps thousands of customers take their cloud office strategy into hyper-drive. Transform your approach to content governance, privacy, compliance, and workflow automation with a single, turnkey platform.

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can easily create a comprehensive, up-to date map of your data landscape using automated data discovery, sensitive classification, and end to end data lineage. Data consumers can find trustworthy, valuable data. Automated data discovery, lineage identification and data classification across on and off-premises, multicloud, as well as SaaS sources. For more effective governance, a unified map of all your data assets and their relationships. Semantic search allows data discovery using technical or business terms. Get insight into the movement and location of sensitive data in your hybrid data landscape. Purview Data Map will help you establish the foundation for data usage and governance. Automate and manage metadata from mixed sources. Use built-in and customized classifiers to classify data and Microsoft Information Protection sensitive labels to protect it.

Polymer DLP secures your SaaS apps by preventing sensitive information like business-critical data or PII from being sent to the wrong people. We used machine learning and natural language processing to automatically detect and remediate files and messages in real time. In addition we provide training at the time of infraction, which is proven to help prevent future incidents before they happen. Try for free and set up your custom policy in minutes. Polymer is constantly expanding, currently we integrate with Slack, Google Drive, Microsoft Teams, One Drive, Bitbucket, Github and Box.

A security and privacy program that doesn’t slow down your growth will help you get compliant, prevent breaches, save money, and be compliant. Although "checkbox" security and privacy may seem appealing, it creates security debt that multiplies with every new regulation and each new security questionnaire. Carbide, however, makes enterprise-class security available to all companies. This means that start-ups receive the support they need to design strong security and privacy programs. Established security teams can save valuable time and benefit from the platform's automation and efficiency. Even if you don't have a large security team, it is possible to adopt a privacy and security posture that goes beyond compliance. Carbide makes enterprise-class privacy and security requirements accessible to all companies and makes them achievable.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

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.

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.

Onna, a real time search solution, allows you to connect and search across a growing number of cloud platforms. Onna helps users access eDiscovery and find high-value items across all legal departments. Onna allows users to report, collaborate, manage compliance, and share documents. Onna integrates well with other data sources such as DropBox, Confluence, and Gmail.

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.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

Identify code issues and optimize code in real-time. Prevent data incidents before deployment. Manage code changes that impact data from the operational database all the way to the dashboard. Data lineage is automated, allowing for analysis of every dependency, from the operational database to the reporting layer. Foundational automates the enforcement of data contracts by analyzing each repository, from upstream to downstream, directly from the source code. Use Foundational to identify and prevent code and data issues. Create controls and guardrails. Foundational can be configured in minutes without requiring any code changes.

Automate data protection, governance and discovery in your cloud workloads and SaaS apps. You can automatically pinpoint all of your exposed sensitive data within cloud workloads and SaaS apps, allowing you shrink the data attack area. Identify and classify sensitive information such as PII and PHI to prevent sensitive data from being exposed. Real-time insights on how to protect and comply with your cloud data. Enforce data-access policies to achieve least-privileged access, maintain a secure posture, and remain resilient against cyber-threats.