
Streaming Analytics at the Edge With CyberRax Data Flow Pipeline
LAKE FOREST, CALIF., AUGUST 6, 2019 — PSSC Labs, a developer of custom High Performance Computing and Big Data computing solutions today announced the launch of a new product. The ability to ingest, transform and analyze data at the edge is the new IT frontier. Data processing has become increasingly complicated for many organizations, and this rings particularly true for organizations that find themselves constantly dealing with large influxes of data. Not only can those influxes be time-consuming and difficult to manage, but more often than not, that data needs to be processed, analyzed, and delivered to employees with real-time access. Unfortunately, many organizations don’t have the resources to do this and the solutions they implement in an attempt to get their data into the right hands often fall short.
Fortunately there is an answer. NSA developers released an open source version of their “Niagrafiles” application to the Apache project and dubbed it “NiFi”. NiFi is a simple tool to automate the flow of data between systems. NiFi offers organizations a real-time, fault-tolerant platform to process millions of transactions per second.
Organizations can now identify key patterns, compare against existing models, and potentially solve problems before they even occur. As with many successful open source projects, NiFi is now available as a commercially supported offering by Cloudera, called Cloudera Data Flow (CDF). CDF includes all of the open source features of NiFi including data governance, integration with other tools including Cloudera’s HDP Data Platform, Apache Ranger for security, and Apache Kafka for streaming data.
Our mission at PSSC Labs is to provide organizations with the equipment and means that they need in order to succeed. That’s why we created our purpose-built, high performance, truly redundant CyberRax Data Flow Pipeline solution. Working with Cloudera engineers, PSSC Labs engineered the CyberRax Data Flow Pipeline with the latest in technology to scale to any organization’s streaming analytics needs. Included in the solution is a three node redundant configuration with 16TB usable storage for Content Repo, 8TB usable storage for Flowfile Rep, 8TB useable storage for Provenance Repo and an additional 8TB for other NiFi components. CyberRax Data Flow Pipeline includes all of the enterprise features and functions necessary for production deployments at U.S. Government Agencies as well as Fortune 5000 Corporations.
CyberRax Data Flow Pipeline key features include: certified compatible with Cloudera Dataflow (Apache NiFi), delivered with and without back end data platform, significant CapEx and OpEx reduction, truly turn-key deployment, manage and secure your data, and reduced time to deployment and value.
Our solutions have assisted in the prevention of many disasters by helping our clients better predict flooding, prevent wildfires, know when to perform maintenance on aircraft, and more. CyberRax Data Flow Pipeline is already being deployed at various Department of Defense organizations as well as cybersecurity-focused firms. These organizations have combined their CyberRax Data Flow Pipeline with PSSC Labs’ CloudOOP Rax Enterprise Data Lake platform to create a powerful and highly scalable environment to not only process and ingest data at the edge but also store that data for additional analysis using Apache Spark for data science and machine learning. For more information, please visit https://pssclabs.com/solutions/streaming-analytics
About PSSC Labs
For technology powered visionaries with a passion for challenging the status quo, PSSC Labs is the answer for hand-crafted HPC and Big Data computing solutions that deliver relentless performance with the absolute lowest total cost of ownership.
Source: PSSC Labs
August 28, 2025
- Pecan AI Brings Explainable AI Forecasting Directly to Business Teams
- Virtualitics Introduces Iris with Mission-Tuned AI Agents for DoD and Beyond
- EDB Outlines Future of Lakehouse and Strategies for Intelligent Applications at Supermicro Open Storage Summit
- Cerebras and Core42 Launch Global Access to OpenAI’s gpt-oss-120B
August 27, 2025
- Acceldata Announces General Availability of Agentic Data Management
- Data Streaming Summit 2025 Returns to San Francisco with 30-Plus Sessions Across Four Tracks
- CDAO Fall 2025 Opens Registration for Boston Conference
- Ataccama Data Trust Assessment Reveals Data Quality Gaps Blocking AI and Compliance
- Apache Software Foundation Expands Tools, Governance, and Community in FY2025
- Coalesce Launches JOIN Community Discussions on Data Strategy and AI
- Alluxio Reports Q2 Growth as Enterprise AI 3.7 Advances AI Data Performance
- OpenText and Ponemon Institute Survey of CIOs Finds Lack of Information Readiness Threatens AI Success
- Domo Announces Enhanced Cloud Integration Capabilities with BigQuery
August 26, 2025
- MariaDB Accelerates Cloud Deployments, Adds Agentic AI and Serverless Capability with Acquisition of SkySQL
- OpenLight Raises $34M Series A to Scale Next-Gen Integrated Photonics for AI Data Centers
- Domo Unveils Enhanced Cloud Integration Upgrades for Snowflake
- NVIDIA: Industry Leaders Transform Enterprise Data Centers for the AI Era with RTX PRO Servers
- Hydrolix Accelerates Growth with $80M Series C
- Ai2 Launches Asta: A New Standard for Trustworthy AI Agents in Science
- IDC: Agentic AI to Dominate IT Budget Expansion Over Next 5 Years, Exceeding 26% of Worldwide IT Spending, and $1.3T in 2029
- Rethinking Risk: The Role of Selective Retrieval in Data Lake Strategies
- Why Metadata Is the New Interface Between IT and AI
- What Are Reasoning Models and Why You Should Care
- Why OpenAI’s New Open Weight Models Are a Big Deal
- LinkedIn Introduces Northguard, Its Replacement for Kafka
- Meet Vast Data CEO Renen Hallak, a 2024 BigDATAwire Person to Watch
- Beyond Words: Battle for Semantic Layer Supremacy Heats Up
- What Is MosaicML, and Why Is Databricks Buying It For $1.3B?
- Doing More With Your Existing Kafka
- Software-Defined Storage: Your Hidden Superpower for AI, Data Modernization Success
- More Features…
- Mathematica Helps Crack Zodiac Killer’s Code
- BigDATAwire Exclusive Interview: DataPelago CEO on Launching the Spark Accelerator
- GigaOm Rates the Object Stores
- Solidigm Celebrates World’s Largest SSD with ‘122 Day’
- McKinsey Dishes the Goods on Latest Tech Trends
- Google Pushes AI Agents Into Everyday Data Tasks
- The Top Five Data Labeling Firms According to Everest Group
- Oracle Launches Exadata Service for AI, Compliance, and Location-Critical Workloads
- Databricks Now Worth $100B. Will It Reach $1T?
- Promethium Wants to Make Self Service Data Work at AI Scale
- More News In Brief…
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- Seagate Unveils IronWolf Pro 24TB Hard Drive for SMBs and Enterprises
- LF AI & Data Foundation Hosts Vortex Project to Power High Performance Data Access for AI and Analytics
- Deloitte Survey Finds AI Use and Tech Investments Top Priorities for Private Companies in 2024
- Dell Unveils Updates to Dell AI Data Platform
- Stack Overflow’s 2025 Developer Survey Reveals Trust in AI at an All Time Low
- Redpanda Partners with Databricks to Deliver One‑Step Stream‑to‑Table Iceberg Integration for Real‑Time Lakehouses
- Computing Community Consortium Outlines Roadmap for Long-Term AI Research
- Transcend Expands ‘Do Not Train’ and Deep Deletion to Power Responsible AI at Scale for B2B AI Companies
- Anaconda Raises Over $150M in Series C Funding to Power AI for the Enterprise
- More This Just In…