With SCAILIUM, there’s no such thing as too much data. Whether on-premise or in the cloud, the platform applies supercomputing powers to your enterprise analytics, AI, and ML projects, optimizing big data analytics projects with the parallel processing power of the GPU. SCAILIUM integrates with existing data ecosystems and leverages the parallel processing power of the GPU for up to 80% faster processing than market competitors. SCAILIUM offers a powerful and user-friendly solution for companies seeking to future-proof their organization, and unlock a world where there’s no such thing as too much data.
SCAILIUM Use Cases
Complex Analytics Speed
Speed is at the core of what SCAILIUM does. Leveraging the massive parallelism of the GPU and orchestrating large amounts of data throughput, SCAILIUM is able to speed up queries, BI dashboards, batch processes, reports and more by orders of magnitude – weeks to days, hours to minutes, minutes to seconds.
Data Volume & Complexity
Organizations are being forced to simplify or “dumb-down” their analytics due to constraints imposed upon them by their current CPU based infrastructures. Where organizations used to be limited in the amount of data or the complexity of their queries, SCAILIUM unlocks the full power of the organization’s data because they are no longer limited by speed or cost.
AI & ML Data Operations
Bottlenecks are common in AI & ML operations, especially when looking at ingesting, transforming, and preparing data for complex analytics. In fact, over 50% of all model development is spent in the data preparation phase – limiting the number of models and iterations, ultimately leading to stifled innovation.
Reducing Infrastructure & Cloud Costs
In the world of CPU-only based analytical environments, in order to get speed and scale, organizations string together massive amounts of databases to create clusters to process data. The problem is that these legacy systems and databases were not designed for the scale of data that organizations require today and the costs are too high to meet projects’ ROI. SCAILIUM patented software, coupled with the GPU, allow organizations to have supercomputing resources in a much smaller infrastructure footprint, which translates to lower costs and maintenance. SCAILIUM allows organizations to finally process more data, with limitless complexity, at incredible speeds and a fraction of the infrastructure requirements – reducing costs and carbon footprint.
GenAI
Generative AI is exploding, and organizations are adopting it as fast as they can. While Gen AI solves a lot of the unstructured data challenges and accelerates innovation speed by augmenting human intelligence, it does not solve the problem of processing the structured data necessary to power the answers of complex analytics that Gen AI needs to run in a business context. As complexity of ad-hoc queries increases with Gen AI, so does the need for faster data processing to power those queries. SCAILIUM enables Gen AI to run and scale by speeding up all aspects of the data pipeline process needed for Gen AI to be effective.
Customer Success Stories
Banking
A major banking group discovers the true value of their data when loading, prep and analytics time is slashed by up to 81%, querying goes from hours to minutes, and everyone is on the same page.
Manufacturing
A leading electronics manufacturer reduces the cost of data collection and loading by 90%, increasing production yield from 50% to 90%
Get hands-on with
Experience the Power of SCAILIUM
Our Innovation Lab provides a high-level overview of SCAILIUM with a guided experience to certify partners and educate potential customers.
You’ll have access to a SCAILIUM sandbox with an industry standard dataset. With this dataset, you can perform exercises and interact with the SCAILIUM platform.
A SCAILIUM team member will be guiding you through how to use the platform, and will be available to answer any questions
FAQs
SCAILIUMDB is a GPU-accelerated data platform that enables complex analytics on petabyte-scale datasets with exceptional speed and efficiency. It integrates seamlessly with existing data ecosystems to dramatically improve analytics performance—delivering up to 80% faster processing compared to traditional solutions.
Cresco blends strategic architecture and governance expertise with SCAILIUM’s GPU-accelerated platform. This partnership empowers organizations to execute high-performance analytics while maintaining robust governance, compliance, and data strategy alignment.
By leveraging GPU parallelism, SCAILIUMDB speeds up BI dashboards, batch processes, and ad-hoc queries—transforming analytics timelines from weeks to minutes or seconds.
Absolutely. SCAILIUMDB unlocks high-speed analytics without restricting data size or query complexity. It allows organizations to fully utilize their data assets without compromising on performance.
Cresco incorporates governance best practices, such as data lineage, access controls, and metadata management—within SCAILIUM-powered environments to ensure security, transparency, and regulatory compliance.
SCAILIUMDB’s GPU-accelerated design significantly reduces infrastructure footprint and operational overhead. By needing fewer compute resources, organizations can lower both costs and carbon emissions relative to CPU-only systems.
- High-volume analytics—e.g., running complex reports on banking or telecom data.
- Data preparation for AI/ML pipelines—where large-scale transformation needs fast throughput.
- Ad-hoc querying over large datasets—such as exploratory modeling or deep insight extraction.