A Spark-based analytics engine released last week runs on a low-latency, software-defined bare metal fabric and can scale Spark clusters and the IT infrastructure that supports them.
Bigstep, which has dual headquarters in London and Chicago, said its real-time Spark service is designed to speed deployment of real-time data streaming applications as more Spark implementations shift to the cloud. Among the emerging uses for such implementations are the Internet of Things and algorithm decision-making, Bigstep Founder and CEO Lucas Roh noted in a statement.
Roh added that Bigstep’s bare metal cloud platform would help reduce development requirements for its real-time Spark service. The company also said it would offer a “pay-per-use” container-based Spark cluster optimized for real-time streaming applications that use multiple concurrent Spark contexts.
A rapid prototyping feature includes a built-in Jupyter interface for Scala, Python or R programming languages. Jupyter Notebook is designed to allow data scientists to combine code, graphs, dashboards and descriptive texts within the same document while performing operations interactively.
Meanwhile, real-time data streaming applications run in parallel with other container application clusters.
The company added that its bare-metal fabric could run multiple Spark versions, including Spark 2.0, using the same pool of resources.
The introduction of the Spark platform follows the company’s release in early October of a real-time application container service designed specifically for streaming applications. The company said it container service also targets emerging infrastructure based on micro-services and memory-intensive workloads requiring low latency and higher performance.
The container service is based on Docker and can run distributed streaming applications on the company’s bare metal cloud. Those applications can be built on Spark Streaming, Apache Flink or the Heron streaming replacement for Apache Storm, the company said.
Persistent storage requirements have recently overtaken security as the top barrier to adoption of application containers in production. Hence, Bigstep stressed its real-time container service offers high-end persistent support, including storage volumes that follow containers as they move across clusters.
Meanwhile, the company said customers could deploy its new Spark service alongside either Zoomdata and Bigstep data lakes, or use it with applications deployed on-premises or on its managed container service.
Recent items:
Unraveling Hadoop and Spark Performance Mysteries
Overcoming Spark Performance Challenges in Enterprise Hadoop Environments
April 26, 2024
- Google Announces $75M AI Opportunity Fund and New Course to Skill One Million Americans
- Elastic Reports 8x Speed and 32x Efficiency Gains for Elasticsearch and Lucene Vector Database
- Gartner Identifies the Top Trends in Data and Analytics for 2024
- Satori and Collibra Accelerate AI Readiness Through Unified Data Management
- Argonne’s New AI Application Reduces Data Processing Time by 100x in X-ray Studies
April 25, 2024
- Salesforce Unveils Zero Copy Partner Network, Offering New Open Data Lake Access via Apache Iceberg
- Dataiku Enables Generative AI-Powered Chat Across the Enterprise
- IBM Transforms the Storage Ownership Experience with IBM Storage Assurance
- Cleanlab Launches New Solution to Detect AI Hallucinations in Language Models
- University of Maryland’s Smith School Launches New Center for AI in Business
- SAS Advances Public Health Research with New Analytics Tools on NIH Researcher Workbench
- NVIDIA to Acquire GPU Orchestration Software Provider Run:ai
April 24, 2024
- AtScale Introduces Developer Community Edition for Semantic Modeling
- Domopalooza 2024 Sets a High Bar for AI in Business Intelligence and Analytics
- BigID Highlights Crucial Security Measures for Generative AI in Latest Industry Report
- Moveworks Showcases the Power of Its Next-Gen Copilot at Moveworks.global 2024
- AtScale Announces Next-Gen Product Innovations to Foster Data-Driven Industry-Wide Collaboration
- New Snorkel Flow Release Empowers Enterprises to Harness Their Data for Custom AI Solutions
- Snowflake Launches Arctic: The Most Open, Enterprise-Grade Large Language Model
- Lenovo Advances Hybrid AI Innovation to Meet the Demands of the Most Compute Intensive Workloads
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Get your Data AI Ready – Celebrate One Year of Deep Dish Data Virtual Series!
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
CDAO Canada Public Sector 2024
June 18 - June 19 -
AI Hardware & Edge AI Summit Europe
June 18 - June 19London United Kingdom -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States -
CDAO Government 2024
September 18 - September 19Washington DC United States