Vertica Solution
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Vcinity and Vertica
Faster time to intelligent insights, without moving data
Accelerate time to insights
Begin processing sooner by removing the need to move or copy the data from where it sits.
Retain control of data
Meet data residency by keeping data on-prem, while maintaining app performance.
Increase operational agility
Expand use of data-intensive apps and flexibility to execute on data anywhere.
Reduce TCO
Reduce cost associated with data duplication and transfers; optimize infrastructure.
Use Cases
High performance analytics from edge to AWS cloud, without moving your data.
Production monitoring
Apps that monitor equipment in the field can access edge sensor data upon creation and respond to production changes in real-time.
Fraud Detection for FinServ
Maintain data residency requirements for confidential and geo distributed data, while operating app across multiple regions.
Backup and recovery
Improve backup cycles by expediting time to move large volume of data required for AI/ML apps.
Optimize telco networks
With more data traveling across networks, optimize where operators store it, whether on-prem or in the cloud.
The Challenge
Unified analytics enables hybrid flexibility, but latency penalty to move data delays insights.
Customers leverage Vertica’s advanced analytics and in-database machine learning platform to provide unified data access across cloud(s) and on-premises locations, fuel scalable, demanding analytic workloads, and quickly derive predictive business insights. Yet, to take advantage of these data-heavy analytics, Machine Learning (ML), and Artificial Intelligence (AI) workloads, organizations must first migrate their entire datasets into the Vertica clusters—whether in the cloud (Verica Eon or Enterprise mode) or on-premises (Enterprise mode). Migrating entire datasets across hybrid cloud can be complex, expensive, and time-consuming. Additionally, whether during the initial migration process or as new data is being moved into the Vertica cluster, these analytics and AI/ML workloads cannot begin processing until the data is within a Vertica cluster (whether in the AWS cloud or on-prem), delaying time to insights and decreasing efficiency.
Vcinity Solution
Accelerate time to AI/ML insightswith real-time access to distributed data.
Vcinity provides Vertica customers the ability to access and run data-intensive workloads on data with local-like performance, no matter its location (on-premises or in the AWS cloud), in real-time, and regardless of distance or latency. As opposed to first moving, copying, or caching their data to where their Vertica clusters sit within AWS, their data analytics and AI/ML applications can begin processing data immediately, accelerating time to intelligent insights and action and improving operational efficiency. Additionally, the freedom to select where they want to store their data empowers customers with an increased level of agility from edge to on-prem to cloud, whether by optimizing infrastructure design or tapping into data while upholding residency requirements.
Product
Features
Access data over any distance with Vcinity’s latency-eliminating software – sustained 95% bandwidth utilization and continuous performance with no intermittent latency beyond the first byte.
Adding Vcinity to your application platform enables faster aggregate data access and processing from existing hardware. Take advantage of pre-processing and computation from resources at edge/core/cloud without migration workflows.
Data insights require access to fresh and accurate data. Vcinity brings the data collected at the edge and various offices, and makes it available in real time to train models, feed AI algorithms, and produce lakes for holistic queries.
Seamless integration of Vcinity solution tech stack into existing workflows with no application rewrite, deployable at the edge, on-premises, or cloud turning your WAN into a global LAN.
