Best Data Management Software for Microsoft Azure - Page 11

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.

Foghub streamlines the integration of IT and OT, enhancing data engineering and real-time intelligence at the edge. Its user-friendly, cross-platform design employs an open architecture to efficiently manage industrial time-series data. By facilitating the critical link between operational components like sensors, devices, and systems, and business elements such as personnel, processes, and applications, Foghub enables seamless automated data collection and engineering processes, including transformations, advanced analytics, and machine learning. The platform adeptly manages a diverse range of industrial data types, accommodating significant variety, volume, and velocity, while supporting a wide array of industrial network protocols, OT systems, and databases. Users can effortlessly automate data gathering related to production runs, batches, parts, cycle times, process parameters, asset health, utilities, consumables, and operator performance. Built with scalability in mind, Foghub provides an extensive suite of features to efficiently process and analyze large amounts of data, ensuring that businesses can maintain optimal performance and decision-making capabilities. As industries evolve and data demands increase, Foghub remains a pivotal solution for achieving effective IT/OT convergence.

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.

Talend Data Integration allows you to connect and manage all of your data regardless of where it is located. Connect virtually any data source to any data environment using over 1,000 connectors and component. Drag-and-drop interface makes it easy to create and deploy reusable data pipes. It's 10x faster than hand-coding. Talend has been a leader in scaling large data sets to advanced data analytics and Spark platforms. We partner with top cloud service providers, data warehouses and analytics platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform, Snowflake and Databricks. Talend ensures data quality at every stage of data integration. Before inconsistencies disrupt or impact critical decisions, you can identify, highlight, and fix them as data moves through your systems. Connect to data wherever it is, and use it where you want it.

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 rapid expansion of consumer data over the last ten years is now being eclipsed by a remarkable surge in business data, creating both unique opportunities and significant challenges for companies and cloud service providers alike. This situation necessitates a revolutionary approach to developing and scaling storage infrastructure. Our vision for this evolution is embodied in the Infinidat Elastic Data Fabric, which reimagines enterprise storage, transitioning from conventional hardware appliances to flexible, high-performance pools of digital storage that are both highly reliable and cost-effective, with effortless data mobility across data centers and public cloud environments. Today, professionals in various industries are grappling with a similar challenge due to the wave of digital transformation influencing their operations. As traditional hardware-based storage solutions are becoming prohibitively expensive and increasingly difficult to manage, they also fall drastically short of the requirements for the data-centric future. Consequently, it is imperative for these systems to transform into innovative software-defined on-premises enterprise storage clouds to meet the demands of the evolving digital landscape. This shift not only enhances efficiency but also positions organizations to better harness the power of their data.

Utilize Azure Table storage to manage petabytes of semi-structured data efficiently while keeping expenses low. In contrast to various data storage solutions, whether local or cloud-based, Table storage enables seamless scaling without the need for manual sharding of your dataset. Additionally, concerns about data availability are mitigated through the use of geo-redundant storage, which ensures that data is replicated three times within a single region and an extra three times in a distant region, enhancing data resilience. This storage option is particularly advantageous for accommodating flexible datasets—such as user data from web applications, address books, device details, and various other types of metadata—allowing you to develop cloud applications without restricting the data model to specific schemas. Each row in a single table can possess a unique structure, for instance, featuring order details in one entry and customer data in another, which grants you the flexibility to adapt your application and modify the table schema without requiring downtime. Furthermore, Table storage is designed with a robust consistency model to ensure reliable data access. Overall, it provides an adaptable and scalable solution for modern data management needs.

DobiMigrate® is relied upon to excel in highly intricate and challenging settings, demonstrating its capability to fulfill any organization’s return on investment and data integrity goals while transitioning to new storage solutions or the cloud. It boasts a rapid setup and straightforward management due to its user-friendly interface. With years of expertise and a track record of thousands of successfully completed projects, users can trust the platform to ensure 100% accurate data migration, backed by verifiable evidence. The licensing model offers flexibility, allowing businesses to migrate varying amounts of data as needed. Supporting all prominent storage systems and a multitude of configurations, it effectively prevents vendor lock-in. Organizations can achieve their anticipated ROI from the new storage or cloud with minimal operational disruption. Furthermore, Datadobi stands as the global authority in unstructured data management software, empowering enterprises to tap into the potential of their ever-growing data landscape. Through its solutions, Datadobi not only aids customers in the migration and protection of data but also in uncovering valuable insights and leveraging them for enhanced business performance. Ultimately, the platform positions businesses to thrive in an increasingly data-driven world.

OpenText Migrate provides a streamlined and secure way to move physical, virtual, and cloud workloads to or from any environment with near-zero downtime. Leveraging real-time, byte-level replication, the platform continuously duplicates source data efficiently, minimizing bandwidth use and maintaining user productivity during migration. It supports a wide variety of operating systems and cloud platforms such as AWS, Azure, and Google Cloud, offering complete flexibility. Automated configuration and management simplify complex migration steps and help avoid errors. OpenText Migrate ensures strong security with AES 256-bit encryption protecting data in transit. The solution’s cutover process is fast, repeatable, and easily reversible if needed. Users can also conduct unlimited non-disruptive test migrations to validate the new environment without affecting ongoing operations. This comprehensive approach helps organizations reduce costs, avoid vendor lock-in, and minimize migration risks.

SOLIXCloud CDP provides a cloud-based data management solution tailored for contemporary data-centric businesses. Utilizing open-source and cloud-native technologies, it enables organizations to effectively handle and analyze their structured, semi-structured, and unstructured data, facilitating advanced analytics, regulatory compliance, infrastructure efficiency, and robust data security. Key components of this platform include Solix Connect for efficient data ingestion, Solix Data Governance, Solix Metadata Management, and Solix Search, collectively forming a holistic framework for managing cloud data. This framework supports the development and operation of data-driven applications, including SQL data warehouses, machine learning models, and artificial intelligence systems, while addressing the increasing complexities associated with data management regulations, data retention policies, and consumer privacy concerns. In this way, SOLIXCloud CDP empowers companies to navigate the evolving landscape of data management with confidence.

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.

Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.

Witboost is an adaptable, high-speed, and effective data management solution designed to help businesses fully embrace a data-driven approach while cutting down on time-to-market, IT spending, and operational costs. The system consists of various modules, each serving as a functional building block that can operate independently to tackle specific challenges or be integrated to form a comprehensive data management framework tailored to your organization’s requirements. These individual modules enhance particular data engineering processes, allowing for a seamless combination that ensures swift implementation and significantly minimizes time-to-market and time-to-value, thereby lowering the overall cost of ownership of your data infrastructure. As urban environments evolve, smart cities increasingly rely on digital twins to forecast needs and mitigate potential issues, leveraging data from countless sources and managing increasingly intricate telematics systems. This approach not only facilitates better decision-making but also ensures that cities can adapt efficiently to ever-changing demands.

Introducing the only software that merges data intelligence via knowledge graphs with multi-cloud data strategies, enhancing business insights like never before. Are you struggling to gather insightful data that could drive your campaigns to success? Discover the intelligence that reveals your customers' desires! Achieve a comprehensive view of your business operations through our unique product, DataBlaze, which offers a complete end-to-end analysis. Equip your data professionals with strategic models without the need for coding, eliminating human errors in the process. Utilize our pre-built machine learning models to help insurers effectively assess and manage property risks. Rawcubes empowers organizations to harness their data by utilizing our advanced data platforms, established domain knowledge graphs, and analytical frameworks to foster improved business insights. Additionally, Rawcubes delivers top-notch data management solutions, business analytical models, and access to an experienced team of data scientists and engineers, ready to provide expert guidance or simply brainstorm your ideas. With Rawcubes, you can finally unlock the full potential of your data and transform it into actionable insights for your business.

An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.

KLDiscovery employs a cutting-edge processing application that enhances speed and reliability, elevating your data processing capabilities to unprecedented heights. By leveraging the ability to launch multiple instances of our application simultaneously, we can handle enormous data volumes in a fraction of the time that other solutions require. In fact, it is not uncommon for us to process several terabytes of information within just one week. Our integrated deduplication engine plays a crucial role in minimizing the overall data footprint by efficiently removing duplicate documents through the comparison of custom hash values derived from metadata across as many as fourteen different fields. Every deduplication action is meticulously documented within the extensive reporting features embedded in our application, ensuring that this defensible process is fully tracked, recoverable, and reproducible. This capability to efficiently manage vast amounts of data represents only part of our comprehensive approach to data processing. Additionally, our commitment to innovation ensures that we continually enhance our solutions to meet the evolving needs of our clients.

The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving.

Staple's innovative interface facilitates the effortless viewing and organization of documents in a user-friendly way. It empowers multiple users to sort, share, and export documents seamlessly across various systems. The proprietary document viewing technology employs simple point-and-click interactions, offering rapid processing and ongoing feedback that enhances its AI capabilities. Unlike standard OCR or text mining solutions, our advanced approach interprets documents with a human-like understanding. With immediate and precise data extraction, companies can significantly streamline their workflows and minimize their dependence on manual data entry. Staple's cutting-edge blend of machine learning and computer vision results in unparalleled extraction efficiency in both speed and accuracy. We invite you to explore our capabilities; we are eager to demonstrate our unique offerings. Additionally, Staple's data extraction services are available through integrations with Xero or QuickBooks, as well as directly via our API for easy access.

Circonus IRONdb simplifies the management and storage of limitless telemetry data, effortlessly processing billions of metric streams. It empowers users to recognize both opportunities and challenges in real time, offering unmatched forensic, predictive, and automated analytics capabilities. With the help of machine learning, it automatically establishes a "new normal" as your operations and data evolve. Additionally, Circonus IRONdb seamlessly integrates with Grafana, which natively supports our analytics query language, and is also compatible with other visualization tools like Graphite-web. To ensure data security, Circonus IRONdb maintains multiple copies across a cluster of IRONdb nodes. While system administrators usually oversee clustering, they often dedicate considerable time to its upkeep and functionality. However, with Circonus IRONdb, operators can easily configure their clusters to run autonomously, allowing them to focus on more strategic tasks rather than the tedious management of their time series data storage. This streamlined approach not only enhances efficiency but also maximizes resource utilization.

Our mission is to ensure that data science and machine learning truly transform organizations. As an AI product studio, we consist of a talented team of 100 seasoned data scientists and engineers, who bring a wealth of experience from both dynamic digital startups and large multinational firms. Our focus extends beyond creating appealing presentations and dashboards; we prioritize delivering automated data solutions that are seamlessly integrated into real-world processes. We emphasize the value of our skilled data scientists and engineers, rather than merely counting clicks. Our commitment lies in the effective deployment of data science solutions in the cloud, adhering to rigorous standards of continuous integration and automation. We strive to cultivate the brightest and most innovative data professionals by providing an inspiring and rewarding work environment in Central Europe. By empowering our team to leverage our collective expertise, we continuously seek and refine the most promising data-driven opportunities for both our clients and our own innovative products, ensuring we remain at the forefront of the industry. This approach not only enhances our clients’ capabilities but also fosters a culture of creativity and collaboration within our studio.

Utilize widely-used open-source frameworks like Apache Hadoop, Spark, Hive, and Kafka with Azure HDInsight, a customizable and enterprise-level service designed for open-source analytics. Effortlessly manage vast data sets while leveraging the extensive open-source project ecosystem alongside Azure’s global capabilities. Transitioning your big data workloads to the cloud is straightforward and efficient. You can swiftly deploy open-source projects and clusters without the hassle of hardware installation or infrastructure management. The big data clusters are designed to minimize expenses through features like autoscaling and pricing tiers that let you pay solely for your actual usage. With industry-leading security and compliance validated by over 30 certifications, your data is well protected. Additionally, Azure HDInsight ensures you remain current with the optimized components tailored for technologies such as Hadoop and Spark, providing an efficient and reliable solution for your analytics needs. This service not only streamlines processes but also enhances collaboration across teams.

Break down data silos through a unified storage solution that effectively optimizes expenses by employing tiered storage and comprehensive policy management. Enhance data authentication with Azure Active Directory (Azure AD) alongside role-based access control (RBAC), while bolstering data protection with features such as encryption at rest and advanced threat protection. This approach ensures a highly secure environment with adaptable mechanisms for safeguarding access, encryption, and network-level governance. Utilizing a singular storage platform, you can seamlessly ingest, process, and visualize data while supporting prevalent analytics frameworks. Cost efficiency is further achieved through the independent scaling of storage and compute resources, lifecycle policy management, and object-level tiering. With Azure's extensive global infrastructure, you can effortlessly meet diverse capacity demands and manage data efficiently. Additionally, conduct large-scale analytical queries with consistently high performance, ensuring that your data management meets both current and future needs.

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.