Best Data Governance Software for Amazon Web Services (AWS) - Page 2

SecurEnds cloud software allows the world's most innovative companies to automate: User access reviews, Access certifications, entitlement audits, access requests, and identity analytics. Use the SecurEnds connectors and files to load employee data from a Human Resources Management System (e.g. ADP, Workday. Ultipro. Paycom). To pull identities across enterprise applications (e.g. Active Directory, Salesforce. Oracle, and databases (e.g. SQL Server, MySQL and PostreSQL) and cloud applications (e.g. AWS, Azure and Jira), you can use flex connectors and built-in connectors. As often as necessary, you can perform user access reviews by role and attribute. To track any changes since last campaign, application owners can use delta campaigns. To perform access updates, application owners can send remediation tickets directly. Auditors have the ability to access dashboards and remediations.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Atlas serves as a versatile and scalable suite of essential governance services, empowering organizations to efficiently comply with regulations within the Hadoop ecosystem while facilitating integration across the enterprise's data landscape. Apache Atlas offers comprehensive metadata management and governance tools that assist businesses in creating a detailed catalog of their data assets, effectively classifying and managing these assets, and fostering collaboration among data scientists, analysts, and governance teams. It comes equipped with pre-defined types for a variety of both Hadoop and non-Hadoop metadata, alongside the capability to establish new metadata types tailored to specific needs. These types can incorporate primitive attributes, complex attributes, and object references, and they can also inherit characteristics from other types. Entities, which are instances of these types, encapsulate the specifics of metadata objects and their interconnections. Additionally, REST APIs enable seamless interaction with types and instances, promoting easier integration and enhancing overall functionality. This robust framework not only streamlines governance processes but also supports a culture of data-driven collaboration across the organization.

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.

An agile platform for end-to-end DataOps that not only enhances but also protects your data assets is available through Arena, the leading augmented data management solution. With our dynamic data catalog, users can enrich and access data independently, facilitating efficient management of intricate data landscapes. Tailored workflows enhance the precision and dependability of every dataset, while machine learning identifies and aligns master data assets to facilitate superior decision-making. Comprehensive lineage tracking, accompanied by intricate visualizations and advanced security measures like masking and tokenization, ensures utmost protection. Our platform simplifies data management by cataloging data from any location, with flexible connections that allow analytics to integrate seamlessly with your chosen tools. Additionally, our software effectively addresses the challenges of data sprawl, driving success in business and analytics while offering essential controls and adaptability in today’s diverse, multi-cloud data environments. As organizations increasingly rely on data, Arena stands out as a vital partner in navigating this complexity.

Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.

Acceldata stands out as the sole Data Observability platform that offers total oversight of enterprise data systems, delivering extensive visibility into intricate and interconnected data architectures. It integrates signals from various workloads, as well as data quality, infrastructure, and security aspects, thereby enhancing both data processing and operational efficiency. With its automated end-to-end data quality monitoring, it effectively manages the challenges posed by rapidly changing datasets. Acceldata also provides a unified view to anticipate, detect, and resolve data-related issues in real-time. Users can monitor the flow of business data seamlessly and reveal anomalies within interconnected data pipelines, ensuring a more reliable data ecosystem. This holistic approach not only streamlines data management but also empowers organizations to make informed decisions based on accurate insights.

The Odaseva platform is tailored to support large Salesforce clients in mastering all three essential aspects of data management. It ensures that customer data remains secure, unaltered, and readily accessible through robust backup and archiving solutions. By empowering users to take comprehensive control of their data lifecycle, it addresses privacy compliance challenges from the ground up. Users can seamlessly transfer data across production and non-production environments, including sandboxes and external systems. Visibility is crucial for effective management; Odaseva Advanced Analytics provides complete insight into the dynamics of your data. This feature allows users to monitor overarching trends such as API usage and data storage while also keeping track of minute details, like individual record restorations, on the Odaseva platform. Ultimately, this level of oversight equips businesses to make informed decisions and optimize their data strategies effectively.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

OPAQUE Systems delivers a cutting-edge confidential AI platform designed to unlock the full potential of AI on sensitive enterprise data while maintaining strict security and compliance. By combining confidential computing with hardware root of trust and cryptographic attestation, OPAQUE ensures AI workflows on encrypted data are secure, auditable, and policy-compliant. The platform supports popular AI frameworks such as Python and Spark, enabling seamless integration into existing environments with no disruption or retraining required. Its turnkey retrieval-augmented generation (RAG) workflows allow teams to accelerate time-to-value by 4-5x and reduce costs by over 60%. OPAQUE’s confidential agents enable secure, scalable AI and machine learning on encrypted datasets, allowing businesses to leverage data that was previously off-limits due to privacy restrictions. Extensive audit logs and attestation provide verifiable trust and governance throughout AI lifecycle management. Leading financial firms like Ant Financial have enhanced their models using OPAQUE’s confidential computing capabilities. This platform transforms AI adoption by balancing innovation with rigorous data protection.

Prioritizing data automation allows your organization to expedite and enhance the process of achieving digital transformation within the enterprise. By implementing data automation, you can improve customer service and streamline operations. This approach alleviates employees from monotonous, repetitive tasks, enabling them to concentrate on addressing challenges and generating value. It accelerates data initiatives by empowering both non-IT personnel and data specialists to organize, classify, and master data effectively. Drive your digital transformation efforts forward by automating a substantial portion of data management with the assistance of human-guided machine learning. Boost the speed of business results with precise and comprehensive data that is automatically curated for data visualization and analytical insights. Furthermore, the solution integrates seamlessly with your organization’s core systems and existing applications, automating data management, communication, and response processes. Once deployed, Data Automation by Io-Tahoe efficiently handles repetitive, high-volume data tasks, freeing up resources for more strategic endeavors. This capability not only enhances productivity but also fosters innovation within the company.

Brainwave is transforming how you evaluate user access! With an innovative user interface, enhanced predictive controls, and comprehensive risk-scoring features, you can now conduct in-depth access risk analyses. The Autonomous Identity solution allows your teams to operate more effectively with a user-friendly, industry-recognized tool that speeds up your identity management initiatives (IGA). This empowers organizations to assess and make informed decisions regarding access to shared files and folders. You can inventory, categorize, review access, and ensure compliance irrespective of the environment, whether it be file servers, NAS, Sharepoint, Office 365, and beyond. Our flagship offering, Brainwave Identity GRC, is packed with analytical tools that make the most of your access inventory. Enjoy constant visibility across all resources at any given moment. Furthermore, Brainwave’s extensive inventory serves as an entitlement catalog that spans across various infrastructure, business applications, and data access points, ensuring a comprehensive overview of user permissions. This holistic approach promotes better security and informed decision-making.

The volume of data continues to increase, yet not all data carries the same significance. Companies that embrace cloud data management can effectively lower their enterprise data management expenses while ensuring security, compliance, high performance, and straightforward accessibility. As time passes, the value of content diminishes; however, organizations can still generate revenue from older data using innovative SaaS-based solutions. SOLIXCloud provides all the necessary features to achieve an ideal equilibrium between managing both historical and current data. In addition to its robust compliance functionalities for structured, unstructured, and semi-structured data, SOLIXCloud presents a comprehensive managed service for all types of enterprise data. Furthermore, Solix's metadata management framework serves as a complete solution for analyzing all enterprise metadata and lineage from a single, centralized repository, supported by a comprehensive business glossary that enhances organizational efficiency. This holistic approach allows businesses to derive insights from their data, regardless of its age.

QueryPie serves as a unified platform that consolidates diverse data sources and security protocols into a single interface. Accelerate your company's journey toward achievement without altering your current data infrastructure. In an era driven by data, effective data governance has become essential. Make certain that you adhere to data governance regulations while simultaneously granting multiple users access to an increasing volume of essential data. Formulate data access policies by incorporating crucial factors such as IP addresses and time of access. You can create various privilege types based on SQL commands categorized into DML, DCL, and DDL, allowing for secure data analysis and modifications. Effortlessly monitor SQL event details and analyze user behavior along with potential security threats by examining logs filtered by permissions. Furthermore, all historical data can be exported for comprehensive reporting, ensuring that you have a clear view of your data usage and security practices. This holistic approach not only enhances oversight but also supports informed decision-making for future strategies.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

Streamline the processes of data discovery, safeguarding, and governance within your cloud workloads and SaaS applications. Effortlessly locate all instances of vulnerable sensitive data across these platforms, enabling a reduction in the potential data attack surface. Recognize and categorize sensitive information like personally identifiable information (PII), protected health information (PHI), payment card information (PCI), and proprietary company intellectual property to mitigate the risk of data breaches. Gain real-time, actionable insights on strategies to secure your cloud data and uphold compliance standards. Implement robust data access protocols to ensure minimal access privileges, bolster your security framework, and enhance resilience against cyber threats. This proactive approach not only protects your assets but also fosters a culture of security awareness within your organization.

Uncover hidden sensitive information in unexpected locations such as screenshots, logs, messages, tickets, and tables in just a few minutes. With a single click, LightBeam facilitates the creation of detailed executive or delta reports that provide you with essential insights into your sensitive data landscape. By utilizing LightBeam's distinctive PII/PHI graphs, you can automate Data Subject Requests (DSRs) in a comprehensive manner tailored to your data infrastructure. Foster user trust by allowing them to take charge of their own data collection practices. Ensure ongoing oversight of how sensitive data is gathered, utilized, shared, and protected, maintaining suitable safeguards throughout your organization while keeping stakeholders informed. This proactive approach not only enhances compliance but also strengthens the overall data governance framework.

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.

SAP Business Data Cloud serves as a comprehensive managed SaaS solution that integrates and governs all data from SAP while effortlessly linking to external data sources, thus equipping business leaders with essential context for making significant decisions. This platform features critical data products that ensure access to SAP information across vital business operations in a well-regulated and contextual manner, which helps to mitigate the significant expenses tied to data extraction and duplication. As a premier data platform, it facilitates the seamless integration of all SAP and external data in partnership with Databricks, offering robust insight applications that enhance advanced analytics and strategic planning across multiple business sectors. By synchronizing all essential data within a collaborative open data environment and utilizing a strong semantic layer, SAP Business Data Cloud delivers exceptional business insights. Additionally, this system not only enhances decision-making but also drives innovation by making advanced data capabilities accessible to various departments.

Cosmian’s Data Protection Suite offers a robust and advanced cryptography solution designed to safeguard sensitive data and applications, whether they are actively used, stored, or transmitted through cloud and edge environments. This suite features Cosmian Covercrypt, a powerful hybrid encryption library that combines classical and post-quantum techniques, providing precise access control with traceability; Cosmian KMS, an open-source key management system that facilitates extensive client-side encryption dynamically; and Cosmian VM, a user-friendly, verifiable confidential virtual machine that ensures its own integrity through continuous cryptographic checks without interfering with existing operations. Additionally, the AI Runner known as “Cosmian AI” functions within the confidential VM, allowing for secure model training, querying, and fine-tuning without the need for programming skills. All components are designed for seamless integration via straightforward APIs and can be quickly deployed through marketplaces such as AWS, Azure, or Google Cloud, thus enabling organizations to establish zero-trust security frameworks efficiently. The suite’s innovative approach not only enhances data security but also streamlines operational processes for businesses across various sectors.

Teleskope is an innovative platform for data protection that aims to streamline the processes of data security, privacy, and compliance on a large scale within enterprises. It works by consistently discovering and cataloging data from a variety of sources, including cloud services, SaaS applications, structured datasets, and unstructured information, while accurately classifying more than 150 types of entities such as personally identifiable information (PII), protected health information (PHI), payment card industry data (PCI), and secrets with remarkable precision and efficiency. After identifying sensitive data, Teleskope facilitates automated remediation processes, which include redaction, masking, encryption, deletion, and access adjustments, all while seamlessly integrating into developer workflows through its API-first approach and offering deployment options as SaaS, managed services, or self-hosted solutions. Furthermore, the platform incorporates preventative measures, integrating within software development life cycle (SDLC) pipelines to prevent sensitive data from being introduced into production environments, ensure safe adoption of AI technologies without utilizing unverified sensitive information, manage data subject rights requests (DSARs), and align its findings with regulatory standards such as GDPR, CPRA, PCI-DSS, ISO, NIST, and CIS. This comprehensive approach to data protection not only enhances security but also fosters a culture of compliance and accountability within organizations.

Claravine is changing the way global enterprises view data integrity. The Data Standards Cloud allows teams to connect, standardize, and control data across their organization. Claravine is used by leading brands to increase their control and ownership of their data, allowing them to make better decisions, provide better customer experiences, and increase ROI.

Skyflow allows you to run workflows, logic, and analytics on encrypted data. Skyflow uses multiple encryption and tokenization methods to ensure maximum security. With auditable logs, provenance, and data residency, you can manage access to your data and policy enforcement. Compliance is possible in minutes, not weeks. It's easy with our trusted infrastructure and simple REST or SQL APIs. Tokenization is required for compliance. An encrypted data store allows you to search, analyze, and make use of secure data. Skyflow can be run in any virtual private cloud you prefer. It can be used as a secure gateway, zero trust storage, and many other purposes. Replace a difficult-to-maintain patchwork of point solutions with a single cost-effective data vault. You can use your sensitive data in any application or workflow without ever having to decrypt it.