Best Data Management Software for ActiveBatch Workload Automation
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Compare the Top Data Management Software that integrates with ActiveBatch Workload Automation as of October 2024
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This a list of Data Management software that integrates with ActiveBatch Workload Automation. Use the filters on the left to add additional filters for products that have integrations with ActiveBatch Workload Automation. View the products that work with ActiveBatch Workload Automation in the table below.
What is Data Management Software for ActiveBatch Workload Automation?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for ActiveBatch Workload Automation currently available using the table below. This list is updated regularly.
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IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.
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SQL Server
Microsoft
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.Starting Price: $1 one-time payment -
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Teradata Vantage
Teradata
As data volumes grow faster than ever, businesses struggle to get answers. Teradata Vantage™ solves this problem. Vantage uses 100 percent of available data to uncover real-time business intelligence at scale, powering the new era of Pervasive Data Intelligence. See all data from across the entire organization in one place, whenever it's needed, with preferred languages and tools. Start small and elastically scale compute or storage in areas that impact modern architecture. Vantage unifies analytics, Data Lakes, and Data Warehouses, all in the cloud to enable business intelligence. The importance of business intelligence increases. Frustration stems from four key challenges that arise when using existing data analytics platforms: Lack of proper tools and supportive environment needed to achieve quality results. Organizations do not authorize or provide proper accessibility to the necessary tools. Data preparation is difficult. -
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Informatica PowerCenter
Informatica
Embrace agility with the market-leading scalable, high-performance enterprise data integration platform. Support the entire data integration lifecycle, from jumpstarting the first project to ensuring successful mission-critical enterprise deployments. PowerCenter, the metadata-driven data integration platform, jumpstarts and accelerates data integration projects in order to deliver data to the business more quickly than manual hand coding. Developers and analysts collaborate, rapidly prototype, iterate, analyze, validate, and deploy projects in days instead of months. PowerCenter serves as the foundation for your data integration investments. Use machine learning to efficiently monitor and manage your PowerCenter deployments across domains and locations. -
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Informatica Intelligent Cloud Services
Informatica
Go beyond table stakes with the industry’s most comprehensive, microservices-based, API-driven, and AI-powered enterprise iPaaS. Powered by the CLAIRE engine, IICS supports any cloud-native pattern, from data, application, and API integration to MDM. Our global distribution and multi-cloud support covers Microsoft Azure, AWS, Google Cloud Platform, Snowflake, and more. IICS offers the industry’s highest enterprise scale and trust, with the industry’s most security certifications. Our enterprise iPaaS includes multiple cloud data management products designed to accelerate productivity and improve speed and scale. Informatica is a Leader again in the Gartner 2020 Magic Quadrant for Enterprise iPaaS. Get real-world insights and reviews for Informatica Intelligent Cloud Services. Try our cloud services—for free. Our customers are our number-one priority—across products, services, and support. That’s why we’ve earned top marks in customer loyalty for 12 years in a row. -
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Oracle Database
Oracle
Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change. -
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Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
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IBM DataStage
IBM
Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing. -
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Teradata QueryGrid
Teradata
Deploying multiple analytic engines means best-fit engineering, so QueryGrid lets users leverage the right tool for the job. SQL is the language of business, and QueryGrid delivers unparalleled SQL access across commercial and open source analytical engines. Built for a hybrid multi-cloud reality, Vantage solves the world’s most complex data challenges at scale. Software that delivers autonomy, visibility, and insights to keep pace with changing customer demand.
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