DataTorrent
DataTorrent is a real-time data processing platform founded by Phu Hoang, one of Yahoo's first engineers hired in 1996.
Profile
Processes high-volume data streams in real time using Hadoop-based infrastructure.
DataTorrent is a real-time data processing platform founded by Phu Hoang, one of Yahoo's first engineers hired in 1996. The company emerged from stealth in 2013 with an $8 million Series A led by August Capital, with participation from Yahoo co-founder Jerry Yang's AME Cloud Ventures. Its core product, DataTorrent RTS, is built on Hadoop 2.0 and claims to process over a billion events per second, targeting financial services, telecom, and ad tech use cases.
The platform differentiates by handling streaming analytics without requiring data to first land in storage. While early traction included unnamed Fortune 500 clients, the company's website now primarily features content reviewing social media growth tools rather than enterprise data products, suggesting a possible pivot or content marketing shift. No funding announcements or leadership changes have surfaced since the 2013 round, and the current headcount and revenue are undisclosed. The most recent product-related coverage dates to 2014, leaving the company's current market position unclear amid Hadoop ecosystem consolidation.
Who buys this
- Financial services firms analyzing market data
- Telecommunications companies monitoring network traffic
- Ad tech platforms processing real-time bidding streams
- Enterprises with high-velocity IoT data pipelines
Strengths and what to watch
Strengths
- Demonstrated throughput of over 1 billion events/second in 2014 benchmarks
- Early mover in Hadoop-based stream processing with Yahoo engineering pedigree
- Backing from notable investors including Jerry Yang's AME Cloud Ventures
Watch for
- No visible product updates or funding news since 2014 raises sustainability questions
- Website currently emphasizes social media tool reviews over core data platform
- Hadoop ecosystem consolidation may have eroded technical differentiation
Key Information
- Founded
- 2012
- Headquarters
- San Jose, California. Phone
Frequently Asked Questions
What is DataTorrent?
DataTorrent is a real-time data processing platform built on Hadoop 2.0, founded by ex-Yahoo engineer Phu Hoang. It specializes in high-volume stream analytics without requiring data storage first. The platform targets financial services, telecom, and ad tech with throughput claims exceeding 1 billion events per second.
How does DataTorrent process streaming data?
DataTorrent RTS processes data directly in motion using Hadoop infrastructure, eliminating the need to land information in storage first. The platform's 2014 benchmarks demonstrated capacity to handle over 1 billion events per second, focusing on time-sensitive use cases like financial trading and network monitoring.
Who uses DataTorrent for real-time analytics?
Primary DataTorrent customers include financial firms analyzing market data, telecoms monitoring network traffic, and ad tech platforms processing bid streams. Early adopters included unnamed Fortune 500 companies, though recent public case studies are scarce. The platform suits any enterprise with high-velocity IoT or transactional data pipelines.
What makes DataTorrent different from other streaming platforms?
DataTorrent differentiated itself as an early Hadoop-based streaming solution with Yahoo engineering roots. Unlike batch-oriented systems, it processes data in motion at scale. However, its technical edge may have diminished amid Hadoop ecosystem consolidation and limited public updates since 2014.
Is DataTorrent still active in 2023?
DataTorrent's current market position is unclear. While its website remains live, recent content focuses on social media tools rather than data products. No funding announcements or leadership changes have surfaced since its 2013 Series A, and product coverage largely dates to 2014 benchmarks.
How fast can DataTorrent process data streams?
In 2014 benchmarks, DataTorrent RTS demonstrated capacity to process over 1 billion events per second on Hadoop 2.0 infrastructure. This throughput targeted high-velocity use cases like financial market analysis and telecom network monitoring, though real-world performance may vary based on cluster configuration and data complexity.
Sources
- techcrunch.com — $8M Series A funding in 2013 with Jerry Yang participation
- techcrunch.com — Product capability of 1B+ events/second processing
- www.datatorrent.com — Current website content focus on social media tools
- www.econ.yale.edu — Background reference for data processing context