Solutions made for you
Developing and operationalizing complex business logic and ML algorithms at cloud-scale
Interactively work with petabytes of data; billions of classifications in seconds
Virtual data warehousing and ad hoc analytics
Migrate your traditional DWs to an open scale-out architecture
Data transformation and quality at petabyte scale
Work with trillion rows; process petabyte scale batch data in seconds or minutes
Financial Services
Financial services companies compete in a rapidly changing global landscape. With real-time, interactive modelling of large-scale, complex problems, they can better meet regulatory constraints, combat fraud, manage risk and make better recommendations to customers. The ability build and drive an ever-increasing number of analytics workloads through their infrastructure is critical.
Xcalar’s expertise in the financial sector
Data Warehousing
Next Generation Trading Analytics
Xcalar helps its client's customer-facing analysts have access to live data to make better recommendations to customers
Large scale compute for business logic
Accelerating Complex Business Logic Transformations
Faster time-to-market with huge performance gains and rapid, flexible dataflow development and deployment
Partner Solution
Synechron has partnered with Xcalar to help clients transform their data infrastructure, unlocking Big Data solutions, advanced data analytics, and data-dependent innovation. Synechron’s Business Consulting practice works with clients to modernize their enterprise data strategy, integrate data processes for efficiency, optimize data management, and design new data models.
Retail
Large scale retailers with billions of supplier transactions, typically across a number disparate ERP and other legacy systems, can potentially lose millions of dollars annually because of billing or discounting errors and supplier fraud. Machine learning models that can be quickly developed and operationalized to harness the exploding data to detect anomalies can result in significant savings.
Xcalar’s expertise in the retail sector
Data Preparation
Sourcing Analytics: Finding Billing Anomalies, Detecting Supplier Fraud
Xcalar helps its customer discover anomalies and flag suspicious supplier behavior for their retailer clients by analyzing billions of supplier transactions, emails, and log data
Advertising and Marketing Technology
Telecommunications companies that provide cable TV and broadband services to tens of millions of customers continually attempt to grow their advertising revenue stream by improving their understanding of viewer behavior to better target their ads to maximize the value of ad impressions for their sponsors.
Xcalar’s expertise in the advertising and marketing technology sector
Data Preparation
Cable Television Analytics: Advertisement Viewership Analysis
Xcalar helps its customer maximize the value of ad impressions for sponsors by increasing analyst productivity through interactive, visual modeling
Technology
Technology companies must quickly and accurately analyze contextual data from online services, devices, and social media to improve their offerings and stay ahead of their market. With actionable insights into business operations, technology companies can streamline operations, deliver higher quality and more relevant products, and reduce waste.
Xcalar’s expertise in the technology sector
Data Preparation
Device Usage and Failure Analytics for F500 Data Storage Vendor
Xcalar helps a data storage vendor’s data analytics team significantly improve efficiency and completeness of their telemetry data discovery workflow
Partner Solution
NetApp and Xcalar provide customers with a powerful solution to understand and discover insights from their NetApp data. Xcalar enables all NetApp users to build models and create business value at cloud-scale, directly and interactively, without requiring programming skills. Xcalar leverages all the resiliency, availability, and scalability built into NetApp ONTAP storage combining simplicity and flexibility with powerful data management capabilities and storage efficiency.