Best Data Management Software for Cisco AnyConnect

Our unified cloud solution for data and analytics enables business users to connect data with business contexts and unlock insights. SAP Data Warehouse Cloud unites data and analytics in a cloud platform that includes data integration, data warehouse, data warehouse, as well as analytics capabilities. This will help you unleash your data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. You can connect data across multi-cloud and local repositories in real time, while keeping the context of your business. SAP HANA Cloud enables you to gain insights and analyze real-time data at lightning speed. All users can access self-service capabilities to connect, model and visualize their data securely in an IT-governed environment. Use pre-built templates, data models, and industry content.

Data intelligence can transform data chaos into data value. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at an enterprise scale. SAP Data Intelligence provides a comprehensive data management solution. It is the data orchestration layer within SAP's Business Technology Platform. It transforms distributed data into vital data insights and delivers innovation at scale. Integrate across the IT landscape to provide intelligent, relevant and contextual insights for your users. Integrate and orchestrate large data volumes and streams at scale. Machine learning enables you to streamline, operationalize, manage, and govern innovation. Comprehensive metadata management rules optimize governance and reduce compliance risk. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at enterprise level.

The self-service analytics tools promised to make end users more data-driven and agile. The increased agility resulted in siloed, disconnected work as a part of an ungoverned data-free-for-all. Knowledge Hub addresses these issues by providing a solution that benefits business users and simplifies and improves IT governance. Knowledge Hub is the only market-leading collaborative data preparation platform. It offers a browser-based interface that automates data transform tasks. Business teams can collaborate with data engineers and scientists to create, validate, and share governed, trusted datasets. No coding is required to share work and make better decisions. A cloud-ready solution that is designed to foster innovation can manage governance, data lineage, and collaboration. A platform that is extensible and requires little to no code allows multiple people in the enterprise to transform data.

Third-party data enriched with third-party data can be used to improve campaign performance and easily create audience segments. Oracle Audience Segmentation uses customer analytics to predict campaign performance and measure it. You can sort through your customer data without SQL. Drag-and-drop tools allow you to create segments and include important information to personalize every message. Segment your marketing efforts based on aggregated customer value. You can filter easily to identify the top 15% of buyers and isolate the least engaged web visitors. You can save time and improve the accuracy of your targeting. You can quickly assess the size of an audience and not have to wait for a query response. Waterfall segmentation allows for you to create and prioritize segments within your audience to match customers with relevant, goal-oriented content. This segment data will be included in the audience when it is published to external systems such as Responsys Campaign Management.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

DashDB Local is the newest edition of the IBM dashDB family. It provides organizations with the most flexible architecture to lower the cost of analytics in the dynamic worlds of big data and cloud. How is this possible? Analytics workloads can be easily moved and optimized by a common engine with different deployment options across public and private clouds. DashDB Local is an option if you prefer to deploy on a hosted private clouds or on-premises private clouds through a software defined infrastructure. DashDB Local is easy to deploy and manage from an IT perspective. It uses container technology with elastic scaling and simple maintenance. DashDB Local is user-friendly. It provides the speed to cycle through data acquisition, apply the right analytics to meet a particular use case, and then operationalizes the insights.

Dqlite is an embedded, persistent SQL database that runs on Raft consensus. It is ideal for fault-tolerant IoT devices and Edge devices. Dqlite ("distributed SQLite") extends SQLite over a cluster of machines with automatic failover and high availability to keep your application running. C-Raft is an optimised Raft implementation in C that allows for high-performance transactional consensus, fault tolerance, and SQlite's small footprint. C-Raft has been designed to minimize transaction latency. C-Raft, dqlite and other programs are written in C to maximize cross-platform portability. Publication under the LGPLv3 License with a static linking exemption for maximum compatibility. Common CLI pattern is used for database initialization, voting member joins and exits. With automatic leader election, there is minimal, but not insignificant, delay for failover. Disk-backed database with in memory options and SQLite transaction.