Total raised
—
Stage
Mature
Founded
2014
Headcount
2
HQ
Bet Shemesh
Sector
Business Software
About
FactorData delivers software that drives data optimization and control at a massive scale without inserting a proprietary appliance, agent, or other technology into open Hadoop clusters. The company aims to remove the risk of vendor dependence on critical data access in enterprise or cloud Hadoop environments. The net result is a nondisruptive way to improve existing Hadoop deployments by increasing performance, reducing infrastructure, and automating optimization tasks.
Company Intelligence Q&A
Structured intelligence from startupim data — optimized for AI retrieval and grounding.
- What is FactorData's primary business offering?
- FactorData provides software for large-scale data storage management and optimization, specifically designed to improve existing Hadoop deployments by increasing performance, reducing infrastructure, and automating optimization tasks.
- When was FactorData founded?
- FactorData was founded in June 2014.
- What is the operational status of FactorData?
- FactorData is currently inactive, having ceased operations in January 2019.
- Where is FactorData's headquarters located?
- FactorData's headquarters is located in Bet Shemesh, Jerusalem District, Israel.
- Does FactorData have any offices outside of Israel?
- Yes, FactorData has an office in the San Francisco Bay Area, CA, United States.
- What is FactorData's main product?
- FactorData's main product is HDFSplus.
- Who are the founders of FactorData?
- The founders of FactorData are Steve Robinson and Daniel Goodman.
- What is FactorData's employee count?
- FactorData has between 1-10 employees, with an exact count of 2.
Sectors & technology
Primary sector
Business Software
Sub-sectors
Business SoftwareIT, R&D & Data SolutionsData Analysis & Decision SupportData Architecture
Technologies
Artificial IntelligenceMachine LearningPlatforms & InterfacesSoftwareData Storage
Target customers
Enterprise & Professional ServicesEnterprises
Business model
B2B
Tags
big-data-analyticsenterprisesenterprise-solutionsdata-optimizationdata-centersdata-storagemachine-learningstorageartificial-intelligence