Accelerate your Business Intelligence
applications up to

30x faster


Hyper-acceleration Layer


Bigstream provides a 2X - 5X hyper-acceleration of your Spark applications, and can achieve 10X - 30X levels using FPGAs. This is done with zero code changes, special skills or proprietary APIs. Using an adaptive combination of acceleration techniques - like native compilation, vectorization, locality optimization and custom data connectors - Bigstream provides faster time-to-insight and cost avoidance of up to 50% of your EMR expense.


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Target Use Cases

  • Security Log Analytics
  • High Frequency Trading
  • Industrial Internet
  • Machine and Deep Learning
  • Fraud Detection
  • User Behavior Analysis
  • Risk Management
  • Healthcare Analytics
  • Genome Sequencing
  • AdTech Realtime Bidding
  • Big Data Platforms logos
  • Dataflow Adaptation Layer
  • Bigstream Dataflow
  • Bigstream Hypervisor
  • cpuCPU
  • gpuGPU
  • fpgaFPGA


  • User Behavior Analytics
  • Fraud Detection
  • Risk Management
  • Advanced Analytics
  • Healthcare Analytics
  • Security Analytics

User Behavior Analytics

The Bigstream hyper-acceleration platform translates user analysis into actionable insights in real-time, allowing enterprises to accurately predict future usage trends and user preferences.

Analyzing the behavior of online users can help predict the success and future trends of a product/service. As data is collected from both past and current user activity, the volume of data associated with the analysis in e-commerce, AdTech, and FinTech industries can be extremely high. Enterprises need high computing power to build accurate machine learning models in order to analyze purchasing decisions, marketing responsiveness, and overall improve customer conversion rates.

Fraud Detection

Bigstream hyper-acceleration algorithms can accelerate the detection of fraudulent transactions to identify unusual financial activity, improve security, and protect customers/partners.

Fraudulent transactions pose a serious threat to all enterprises. As fraudsters have come up with more complex attack scenarios, fraud detection systems need to become more agile, adaptive, and sophisticated. To detect and prevent fraud transactions with precision in real-time, enterprises need more advanced algorithms, which in turn require higher computing power and deeper analysis of data.

Risk Management

Bigstream hyper-acceleration solutions can speed up evaluation and elimination of potential cyber threats, and enabler proactive risk intelligence to minimize financial risks and regulatory penalties.

Estimating Value at Risk (VAR) and other financial statistics is an important capability for financial services and insurance companies. Credit and debit valuation adjustments also require a large amount of computing power to evaluate different scenarios, instruments, and time intervals. Risk managers need to be provided with the right resources to identify, assess, and monitor known, unknown, and hidden risks to the organization.


Advanced Analytics

Bigstream hyper-acceleration technology empowers enterprises to make faster, more informed business decisions based on ever larger data sets.

With new big data technologies like Apache Spark, machine learning, and real-time predictive analytics, decision makers at every level of the enterprise now have the ability to query, analyze and visualize more powerful business metrics than ever before, even under changing operational and market conditions.

Healthcare Analytics

The Bigstream hyper-acceleration platform enables healthcare providers to transform unprecedented amounts of patient, research and clinical data to create true individualized care and advance personalized medicine.

With advancements in genome sequencing, the healthcare industry is undergoing a major transformation to revolutionize clinical decision support and to deliver precision medicine. Customizing patient treatments and integrating precision medicine into mainstream delivery requires high performance computing to recognize complex patterns diagnosis and deeper understanding of the individual patient.

Security Analytics

Bigstream hyper-acceleration technology can radically boost performance for security anomaly detection in data collected from endpoint network equipment, security logs and servers. This provides better detection and defense against criminal intrusions and other advanced threats which can significantly mitigate damage from security breaches.

Through real-time collection and historical analysis of security events, hyper-accelerated Security Information and Event Management systems (SIEMs) provide instantaneous threat detection and security alerts generated by network hardware and applications. The effectiveness of SIEMs depend directly on the volume of data the systems can process, as well as the response latency when attacks occur.