Alternatives to VMware Cloud Director

JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows. JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control. JS7 can operate thousands of Agents across any platform in parallel. Platforms - Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc. - True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid cloud and on-premises use User Interface - Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers - Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows. - Multi-client functionality, role-based access management - OIDC authentication and LDAP integration High Availability - Redundancy & Resilience based on asynchronous design and autonomous Agents - Clustering of all JS7 Products, automatic fail-over and manual switch-over

Stonebranch’s Universal Automation Center (UAC) is a Hybrid IT automation platform, offering real-time management of tasks and processes within hybrid IT settings, encompassing both on-premises and cloud environments. As a versatile software platform, UAC streamlines and coordinates your IT and business operations, while ensuring the secure administration of file transfers and centralizing IT job scheduling and automation solutions. Powered by event-driven automation technology, UAC empowers you to achieve instantaneous automation throughout your entire hybrid IT landscape. Enjoy real-time hybrid IT automation for diverse environments, including cloud, mainframe, distributed, and hybrid setups. Experience the convenience of Managed File Transfers (MFT) automation, effortlessly managing and orchestrating file transfers between mainframes and systems, seamlessly connecting with AWS or Azure cloud services.

ActiveBatch by Redwood is a centralized workload automation platform, that seamlessly connects and automates processes across critical systems like Informatica, SAP, Oracle, Microsoft and more. Use ActiveBatch's low-code Super REST API adapter, intuitive drag-and-drop workflow designer, over 100 pre-built job steps and connectors, available for on-premises, cloud or hybrid environments. Effortlessly manage your processes and maintain visibility with real-time monitoring and customizable alerts via emails or SMS to ensure SLAs are achieved. Experience unparalleled scalability with Managed Smart Queues, optimizing resources for high-volume workloads and reducing end-to-end process times. ActiveBatch holds ISO 27001 and SOC 2, Type II certifications, encrypted connections, and undergoes regular third-party tests. Benefit from continuous updates and unwavering support from our dedicated Customer Success team, providing 24x7 assistance and on-demand training to ensure your success.

Our new multi-cloud offering includes VMware Cloud Foundation-Subscription (includes Tanzu Standard), which adds a flexible term-based licensing option for on-premises deployments. VMware Cloud Foundation supports both modern and traditional enterprise apps. It offers a complete set highly secure software-defined service for compute, storage and network security. This allows enterprises to increase agility and flexibility by ensuring consistent infrastructure and operations across public and private clouds. Reduce your CapEx, OpEx and TCO by using consistent operations and a wide range of deployment options. You can scale workloads without compromising with consistent infrastructure that supports both modern containerized applications and existing enterprise applications. A pool of virtualized resources can be used to provision agile infrastructure on the premises, at the edge or in the cloud.

Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.

A true self-service reporting platform and analytics platform will empower your business. Orbit's business intelligence and operational reporting software is powerful and scalable. Users can create their own reports and analytics. Orbit Reporting + Analytics provides pre-built integration with enterprise resources planning (ERP), key cloud business applications, such as Salesforce, Oracle E-Business Suite and PeopleSoft. Orbit allows you to quickly and efficiently discover answers from any data source, identify opportunities, and make data-driven decisions.

IBM Spectrum LSF Suites are a workload manager and job scheduler designed for distributed high-performance computation (HPC). Terraform-based automated provisioning and configuration of resources for an IBM Spectrum LSF cluster on IBM Cloud are available. Our integrated solution for mission critical HPC environments increases user productivity and hardware usage while reducing management costs. The heterogeneous architecture is highly scalable and supports high-throughput workloads and traditional high-performance computing. It is also suitable for containerized, big data, GPU machine-learning, and cognitive workloads. IBM Spectrum LSF Suites' dynamic HPC cloud support allows organizations to intelligently utilize cloud resources based upon workload demand. It supports all major cloud providers. Use advanced workload management with policy-driven schedules, including GPU scheduling and a dynamic hybrid cloud to add capacity as needed.

Software that automates forms and processes. This software has been proven in practice. It's easy to use, faster Time-to Value, and process acceleration. TAP's drag and drop UI makes it easy to create and publish workflows and digitized forms in hours or days. They are also much faster than traditional processes and take only a fraction of time. You can encourage more efficient and faster teamwork across departments and with outside resources. Automated notifications, esignatures, role-based access and e-signatures ensure timely contributions. Managers have access to every workflow to monitor and adjust performance. Users share centrally stored common assets. All workflows and documents are automatically archived to ensure security and review. To reduce risks, best practices and compliance can be integrated into every workflow. Automating repetitive tasks reduces human error and costs while delivering quick Time-to-Value (T/V) and ROI.

There are many products that can help companies do this. But if your priorities include creating a data-driven company and being as efficient as possible, Fraxses is the best distributed data platform. Fraxses gives customers access to data on-demand and delivers powerful insights through a data mesh (or data fabric architecture) solution. A data mesh is a structure that can be placed over diverse data sources, connecting them and enabling them all to work together in a single environment. The Fraxses data platform is decentralized, unlike other data integration and virtualization platforms. Although Fraxses supports traditional data integration processes, the future lies with a new approach where data is delivered directly to users without the need of a centrally managed data lake or platform.

The industry's most comprehensive, API-driven, microservices-based, AI-powered enterprise iPaaS is here to help you go beyond the table. IICS is powered by the CLAIRE engine and supports any cloud-native patterns, including data, applications, API integration, MDM, and API integration. Our multi-cloud support and global distribution covers Microsoft Azure, AWS and Google Cloud Platform. Snowflake is also included. IICS has the industry's highest trust and enterprise scale, as well as the industry's highest security certifications. Our enterprise iPaaS offers multiple cloud data management products that can be used to increase productivity, speed up scaling, and increase efficiency. Informatica is a Leader in the Gartner 2020 Magic Quadrant Enterprise iPaaS. Informatica Intelligent Cloud Services reviews and real-world insights are available. Get our cloud services for free. Customers are our number one priority, across products, services, support, and everything in between. We have been able to earn top marks in customer loyalty 12 years running.

The Hammerspace Global Data Environment makes network share visible and accessible from anywhere in the world to remote data centers and public cloud. Hammerspace is the only global file system that leverages our metadata replication, file granular data services and transparent data orchestration. This allows you to access your data wherever you need it, when you need. Hammerspace offers intelligent policies that help you manage and orchestrate your data. Hammerspace provides intelligent policies to manage and orchestrate your data.

IBM® Workload Automation provides a solution to batch and real-time hybrid workload administration. It is available for distributed, mainframe, or cloud computing. An analytics-driven solution can help you streamline your workload management.

Unlock the potential value of your data, wherever it may be. Data-driven companies must be able to access all information across apps, clouds, and systems in order to make use of it. CONNX data integration allows you to easily access, virtualize, and move your data, regardless of where it is located or how it's structured, without having to change your core systems.

Adaptive data virtualization™, a technology that allows enterprises to run existing applications on modern cloud storage warehouses without rewriting them or reconfiguring them, is Adaptive Data Virtualization™. Datometry HyperQ™, a cloud database management software, allows enterprises to adopt new cloud databases quickly, reduce ongoing operating expenses, and develop analytic capabilities to accelerate digital transformation. Datometry HyperQ virtualization software makes it possible to run any existing application on any cloud database. This allows applications and databases to interoperate. Enterprises can now choose the cloud database they prefer, without needing to rip, replace, or rewrite existing applications. Runtime compatibility with legacy data warehouse functions can be achieved through Transformation and Emulation. Transparent deployments on Azure, AWS, or GCP clouds. Applications can continue to use existing JDBC and ODBC connectors. Connects to the major cloud data warehouses Azure Synapse Analytics and AWS Redshift as well as Google BigQuery.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

AtScale accelerates and simplifies business intelligence. This results in better business decisions and a faster time to insight. Reduce repetitive data engineering tasks such as maintaining, curating, and delivering data for analysis. To ensure consistent KPI reporting across BI tools, you can define business definitions in one place. You can speed up the time it takes to gain insight from data and also manage cloud compute costs efficiently. No matter where your data is located, you can leverage existing data security policies to perform data analytics. AtScale's Insights models and workbooks allow you to perform Cloud OLAP multidimensional analysis using data sets from multiple providers - without any data prep or engineering. To help you quickly gain insights that you can use to make business decisions, we provide easy-to-use dimensions and measures.

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.

Integrate with existing toolchain to automate self-service provisioning, refresh enterprise workloads, and integrate with existing tools. Through a rich set APIs and automation, data scientists can achieve high-performance data delivery and re-use. Any cloud data can be recovered at any time, at any scale, and beyond legacy solutions. Reduce the business impact of ransomware and cyber attacks by quickly recovering with immutable backups. Unified platform to protect, secure, keep, govern, and recover your data whether it is on-premises or cloud. Actifio's patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP), provides full-stack data management - hybrid, on-premises, or multi-cloud -- from rich application integration, SLA based orchestration, flexible movement, data immutability, security, and SLA-based orchestration.

Cloud-native data integration with IBM Cloud Pak data enables you to accelerate AI innovation AI-powered data integration from anywhere. Your AI and analytics can only be as good as the data they are powered by. IBM®, DataStage®, for IBM Cloud Pak®, for Data provides high-quality data through a container-based architecture. It combines industry-leading data integration, DataOps, governance, and analytics on one data and AI platform. Automation speeds up administrative tasks, helping to reduce TCO. AI-based design accelerators, out-of-the box integration with DataOps or data science services accelerate AI innovation. Multicloud integration and parallelism allow you to deliver trusted data across hybrid and multicloud environments. The IBM Cloud Pak for Data platform allows you to manage the data and analytics lifecycle. Data science, event messaging, and data warehousing are some of the services offered. Automated load balancing and parallel engine.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

data.world is a fully managed cloud service that was built for modern data architectures. We handle all updates, migrations, maintenance. It is easy to set up with our large and growing network of pre-built integrations, including all the major cloud data warehouses. Your team must solve real business problems and not struggle with complicated data software when time-to value is important. data.world makes it simple for everyone, not just the "data people", to get clear, precise, and fast answers to any business question. Our cloud-native data catalog maps siloed, distributed data to consistent business concepts, creating an unified body of knowledge that anyone can understand, use, and find. Data.world is the home of the largest open data community in the world. It is where people come together to work on everything, from data journalism to social bot detection.

Traditional methods of integrating mainframe, ETL, warehouses, and building connectors are not fast enough or efficient enough to be useful for businesses today. Data virtualization is a new way to store and create more data on the mainframe than ever before. Data virtualization is the only way to close the gap and make mainframe data more accessible to developers and other applications. You can map your data once and then virtualize it for access anywhere, anytime. Your data can scale to your business goals. Data virtualization on z/OS removes the complexity that comes with working with mainframe resources. Data virtualization allows you to combine data from many sources into one logical data source. This makes it easier to connect mainframe data to your distributed applications. Combine mainframe data with location, social networks, and other distributed data.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

TIBCO offers industrial-strength software solutions that meet performance, throughput and reliability requirements. They also offer a variety of deployment options and technologies to deliver real-time information where it is needed. The TIBCO platform will allow you to manage and monitor your TIBCO applications, no matter where they are located: in the cloud, on premises, or at the edge. TIBCO builds solutions that are critical to the success of some of the largest companies in the world.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.

Oracle Roving Edge Infrastructure speeds up the deployment of cloud workloads beyond the data center. Rugged Oracle Roving Edge Devices, also known as Oracle REDs, deliver cloud computing and storage services in remote locations. This allows for faster processing and better insight into the data. Existing Oracle Cloud Infrastructure virtual machines (VMs), and object storage can all be synchronized to Oracle Roving edge devices using the same portal, tenancy tooling, and tenancy tooling that we use for our public regions. OCI services can be deployed by both the public and private sector outside of Oracle Cloud Regions or Dedicated Region Cloud@Customer. Field operations teams can achieve very low latency for delay sensitive cloud applications locally, rather than relying on remote services over multiple network hops. Even if they are completely disconnected, small, portable server nodes can bring Oracle Cloud Infrastructure capabilities to remote locations.

AtomicWP Workload Security protects workloads in a variety environments and enhances security. One lightweight agent that meets virtually all cloud workload protection requirements. AtomicWP protects workloads in Amazon AWS and Google Cloud Platform (GCP), Microsoft Azure and IBM Cloud, as well as hybrid environments. AtomicWP protects both container-based and VM-based workloads. - Comprehensive Security in One Lightweight Agent - Automate Cloud Compliance - Automated intrusion prevention and adaptive security Reduce Cloud Security Costs

ProActive Parallel Suite, a member of the OW2 Open Source Community for acceleration and orchestration, seamlessly integrated with the management and operation of high-performance Clouds (Private, Public with bursting capabilities). ProActive Parallel Suite platforms offer high-performance workflows and application parallelization, enterprise Scheduling & Orchestration, and dynamic management of private Heterogeneous Grids & Clouds. Our users can now simultaneously manage their Enterprise Cloud and accelerate and orchestrate all of their enterprise applications with the ProActive platform.

One software solution can optimize resources across your data centers and cloud, resulting in a better application performance. Full-stack transparency lets you see how app and infrastructure dependencies impact workload performance. AI-assisted resource recommendations and analytics will help you to proactively address issues, before they negatively impact your business. Reduce costs, automate workloads, and optimize application resources in IT. You can do all of this from one place with our hybrid cloud decision engine. You can have resource recommendations automatically carried out when you want. Combine real-time awareness of user experience and business outcomes with infrastructure automation by partnering with Cisco AppDynamics. Integrate with third-party APM software such as Dynatrace or New Relic to gain more insights. Optimize workloads and applications running on AWS.

StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.

Reduce Kubernetes cost by up to 80%, and improve cluster reliability with real-time, context-aware automation for your most important production environments. Our proprietary technology of real time automation & application contextual awareness unlocks the full potential of cloud native applications. Our intelligent resource optimization and automated workflow management will reduce your Kubernetes cost by up to 80%, ensuring that you only pay for the resources you need without sacrificing on performance. Improve your Kubernetes environments to ensure peak application performance. Installation takes just 2 minutes. You will be able to see the full potential of our platform as soon as you start with read-only permissions.

Enterprises must automate a diverse and complex landscape of platforms, applications, and technologies in order to provide services in a digitally competitive business environment. Service Orchestration and Automation platforms are vital to scale your IT operations, and gain greater value from automation. Complex workflows must be managed across platforms, ERP systems, business applications from mainframe to microservices, multi-cloud, and other platforms. You must streamline your big data pipelines to enable self-services by data scientists and strong governance over data flows. You are required to provide compute, network, and storage resources on-prem as well as in the cloud for development or business users. Automic Automation provides the speed, reliability, and agility required to automate your digital business. Automic centrally offers the automation and orchestration capabilities required to accelerate your digital transformation from a single platform.

This hosted platform is ideal for developers who are rapidly growing and want to automate deployment, life-cycle management, monitoring and maintenance of applications to reduce costs of replicating them in DEV/TEST environments. Modern solutions are required for websites such as PayPal Casino Canada, which automate thousands of transactions per day. A dedicated PayPal finance team monitors withdrawals and deposits stored in cloud applications. This improves efficiency and time management. Integrations with public and private cloud platforms are available to automate provisioning and scaling of virtual infrastructure for Docker-based applications. Summary of the performance of clusters hosts and running containers with support for alerts & self-healing.

A platform designed to efficiently automate all your enterprise processes across diverse environments. HCL Workload Automation is a comprehensive automation platform that helps modern enterprises accelerate their digital transformation. It orchestrates tasks across various environments, from traditional systems to the cloud and Kubernetes, ensuring business agility and resilience. Here's what makes HCL Workload Automation stand out: Simplified Automation: Streamlined modeling and contextual help make it easy to automate IT and business processes. AI-Powered Insights: Analyze workload data and gain observability to improve operational efficiency. Unified Orchestration: Acts as a central platform to manage all automation tasks, including containerized workloads. Intuitive Interface: Easy-to-use interface for managing and monitoring automation workflows. Cost-Effective: Offers the lowest total cost of ownership (TCO) in the market, with potential savings of up to 40% compared to competitors. With HCL Workload Automation, organizations can achieve continuous automation, improve business agility, and reduce operational costs.

Automated workload automation for centralized Linux job scheduling. Your IT team will be able to automate all of your workflows on Windows, UNIX and Linux systems using a job scheduler. This will allow them to focus more on strategic projects that have a direct impact on the bottom line. You can use Windows Task Scheduler or cron to create isolated job schedules across your entire organization. Integrating your job scheduler with other key software applications makes it easier to see the whole picture, use data across the organization, unify job schedules, and leverage data. You can achieve your automation goals by being more efficient. Automated job scheduling simplifies your life and transforms how you do business. You can create dynamic, event-driven job plans across servers and take dependencies into consideration. This will help you achieve your business goals through better workflows. Automate Schedule provides high availability for both a master and standby server, so important tasks can continue even if there is an outage.

WEKA 4 delivers unprecedented performance and runs impossible workloads everywhere, without compromise. Artificial Intelligence is opening up new business opportunities. Operationalizing AI requires the ability of processing large amounts of data from multiple sources in a short amount time. WEKA is a complete solution that can be used to accelerate DataOps tasks across the entire data pipeline, whether it is on-prem or the public cloud. Modern methods are required to store and analyze large data sets in life science, whether they are next-generation sequencing, imaging, and microscopy. This will allow for better insights and economics. WEKA reduces the time it takes to get insights. It eliminates performance bottlenecks in the Life Sciences data pipeline and significantly reduces the cost and complexity of managing large amounts of data. WEKA is a modern storage architecture that can manage the most demanding I/O-intensive workloads as well as latency-sensitive applications at exabyte scale.

Slurm Workload Manager (formerly Simple Linux Utility for Resource Management, or SLURM) is a free and open-source cluster management system for Linux-like kernels. It is designed to manage computing jobs on high-performance computing (HPC), high throughput computing environments (HTC), and is used by most supercomputers and computer groups around the world.

Leapwork is the world's most accessible platform for automation. Leapwork is a visual, no code approach that makes it easy for IT and business users to automate repetitive tasks. This allows enterprises to adopt automation faster and scale it up more quickly. More than 400 global companies use Leapwork across all industries, including banks, insurance companies, life science, government, and aerospace. NASA, PayPal and Daimler are just a few of the clients. The company has offices in Europe, America, and Asia. It is headquartered in Copenhagen.

Organizations must be able to manage large volumes of business-critical workloads across multiple platforms and applications. There are many business challenges that you must address in such complex environments. Access to critical business services. One single failure in a workload can have a major impact on the organization's ability to deliver services. Respond to business events in real-time. Real-time automation is essential in today's business world. Improve IT efficiency. While reducing IT costs is a critical requirement for organizations, IT can also be expected to improve service delivery. AutoSys Workload Automation improves visibility and control over complex workloads across platforms and ERP systems. It reduces the complexity and cost of managing mission-critical business processes and ensures consistent and reliable service delivery.

Oracle Big Data Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.

Manages users, groups, and roles. Authentication, delegation authorization, auditing. Access control based on role, entitlements, and time-based rules. Manages access control policies for Web and Java resources. Manages access control policies to protect fine-grained application data and/or features. Flexible deployment options and central administration. Specific features designed to assist in compliance with privacy legislation. Integration with existing security infrastructure. Provides the foundation for Java Security Services orb2

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

Oracle's server virtualization products are optimized for performance and efficiency. They support x86 architectures and a variety workloads like Linux, Windows, and Oracle Solaris. Oracle offers hypervisor-based solutions as well as virtualization built into hardware and Oracle operating system to provide the best solution for your entire computing environment.

EDI management made easier with comprehensive monitoring and tracking via a cloud interface that is user-friendly. You only need three steps to assign EDI messages and determine the communication method. Visually model complex data structures to make it easier to understand. You can track and monitor your data intuitively. Drill down to see the details of error handling and reporting. Business partners can track file exchanges and send/receive files via secure HTTPS protocol. You can easily manage and use STFP and AS2 servers to exchange files.

Cloud environments can be quickly set up for quick development, testing, and productivity for your IT staff and business users. Comprehensive data governance for business users will reduce the risks and cost of maintaining your data lakes. You can save money by providing consistent, timely, and clean information for your data lakes, big data projects, and data warehouses. Also, consolidate applications and retire outdated databases. Automatic schema propagation can be used to accelerate job generation, type-ahead searching, and backwards capabilities. All this while designing once and executing everywhere. With a cognitive design that recognizes patterns and suggests ways to use them, you can create data integration flows and enforce quality rules and data governance. You can improve visibility and information governance by creating authoritative views of information that are complete and authoritative.

It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views from data starting at the source. This allows you to reuse, configure, test and deploy all your data in one integrated environment. You can analyze your business data as it happens to maximize the use and minimize costs, improve/refine business processes, and optimize the use of your assets. Our implementation time to market is between 50-90% shorter. We connect your sources so that you can make business decisions based upon real-time data.

Embedded Data Virtualization allows you to extend your applications with unified data connectivity. CData Query Federation Drivers are a universal data access layer that makes it easier to develop applications and access data. Through a single interface, you can write SQL and access data from 250+ applications and databases. The CData Query Federation Driver provides powerful tools such as: * A Single SQL Language and API: A common SQL interface to work with multiple SaaS and NoSQL, relational, or Big Data sources. * Combined Data Across Resources: Create queries that combine data from multiple sources without the need to perform ETL or any other data movement. * Intelligent Push-Down - Federated queries use intelligent push-down to improve performance and throughput. * 250+ Supported Connections: Plug-and–Play CData Drivers allow connectivity to more than 250 enterprise information sources.