Best Data Management Software for Commvault Cloud

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.

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.

Microsoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency.

Accelerate the transition from data to tangible business results with Splunk. Splunk Enterprise streamlines the process of gathering, analyzing, and leveraging the hidden potential of the vast data created by your technological framework, security measures, and enterprise applications—equipping you with the knowledge necessary to enhance operational efficiency and achieve business objectives. Effortlessly gather and index log and machine data from a variety of sources. Merge your machine data with information stored in relational databases, data warehouses, as well as Hadoop and NoSQL data repositories. The platform's multi-site clustering and automatic load balancing capabilities are designed to accommodate hundreds of terabytes of data daily, ensuring quick response times and uninterrupted access. Customizing Splunk Enterprise to suit various project requirements is straightforward with the Splunk platform. Developers have the flexibility to create bespoke Splunk applications or incorporate Splunk data into existing applications. Furthermore, applications developed by Splunk, our collaborators, and the community enhance and expand the functionalities of the Splunk platform, making it a versatile tool for organizations of all sizes. This adaptability ensures that users can extract maximum value from their data in a rapidly changing business landscape.

Amazon Athena serves as an interactive query service that simplifies the process of analyzing data stored in Amazon S3 through the use of standard SQL. As a serverless service, it eliminates the need for infrastructure management, allowing users to pay solely for the queries they execute. The user-friendly interface enables you to simply point to your data in Amazon S3, establish the schema, and begin querying with standard SQL commands, with most results returning in mere seconds. Athena negates the requirement for intricate ETL processes to prepare data for analysis, making it accessible for anyone possessing SQL skills to swiftly examine large datasets. Additionally, Athena integrates seamlessly with AWS Glue Data Catalog, which facilitates the creation of a consolidated metadata repository across multiple services. This integration allows users to crawl data sources to identify schemas, update the Catalog with new and modified table and partition definitions, and manage schema versioning effectively. Not only does this streamline data management, but it also enhances the overall efficiency of data analysis within the AWS ecosystem.

Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

Oracle Enterprise Data Quality offers an extensive environment for managing data quality, enabling users to comprehend, enhance, safeguard, and govern data integrity. This software supports leading practices in Master Data Management, Data Governance, Data Integration, Business Intelligence, and data migration efforts, while also ensuring seamless data quality integration in CRM systems and various cloud services. Furthermore, the Oracle Enterprise Data Quality Address Verification Server enhances the functionality of the main server by incorporating global address verification and geocoding features, thus broadening its application potential. As a result, organizations can achieve higher accuracy in their data management processes, leading to better decision-making and operational efficiency.

Oracle Big Data Discovery is an impressively visual and user-friendly tool that harnesses the capabilities of Hadoop to swiftly convert unrefined data into actionable business insights in just minutes, eliminating the necessity for mastering complicated software or depending solely on highly trained individuals. This product enables users to effortlessly locate pertinent data sets within Hadoop, investigate the data to grasp its potential quickly, enhance and refine data for improved quality, analyze the information for fresh insights, and disseminate findings back to Hadoop for enterprise-wide utilization. By implementing BDD as the hub of your data laboratory, your organization can create a cohesive environment that facilitates the exploration of all data sources in Hadoop and the development of projects and BDD applications. Unlike conventional analytics tools, BDD allows a broader range of individuals to engage with big data, significantly reducing the time spent on loading and updating data, thereby allowing a greater focus on the actual analysis of substantial data sets. This shift not only streamlines workflows but also empowers teams to derive insights more efficiently and collaboratively.

Effortlessly integrate your on-premises infrastructure with cloud solutions. VMware HCX facilitates the smooth transition of applications, workload redistribution, and ensures business continuity across various data centers and cloud environments. It enables the large-scale transfer of workloads between any VMware platform, allowing for migrations from vSphere 5.0+ to the latest vSphere versions in either cloud settings or modern data centers. Additionally, it supports conversions from KVM and Hyper-V to the latest vSphere versions. The platform is compatible with VMware Cloud Foundation, VMware Cloud on AWS, Azure VMware Services, and additional offerings. Users benefit from a variety of migration strategies tailored to their specific workload requirements. With the capability for live large-scale HCX vMotion migration of thousands of virtual machines, it promises zero downtime, significantly minimizing business interruptions. The solution includes a secure proxy for both vMotion and replication traffic, along with a migration planning and visibility dashboard that provides valuable insights. Automated migration-aware routing via NSX ensures seamless network connectivity, while WAN-optimized links facilitate migrations over the Internet or WAN. Featuring high-throughput Layer 2 extension and advanced traffic engineering, VMware HCX significantly enhances application migration efficiency and speed. This robust framework ultimately empowers organizations to make cloud transitions with confidence and ease.