Stay in touch at TigerGraph

Redwood City, California, United States

TigerGraph Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Not specified - Likely requires experience in data analytics, machine learning, or related fields

Responsibilities

  • Not specified - Likely involves contributing to the development and improvement of the TigerGraph platform

Skills

Graph Database
Machine Learning
Analytics
Fraud Detection
AI
IoT
MDM

TigerGraph

Graph database for data analytics solutions

About TigerGraph

TigerGraph focuses on graph-powered analytics and machine learning, providing a graph database that helps businesses analyze complex data sets by showing how different pieces of information are connected. This technology is especially useful for industries like healthcare and insurance, allowing for real-time data management and collaboration across departments. TigerGraph's graph database reduces infrastructure operating costs, as demonstrated by Intuit's 77% cost reduction after implementation. The company's goal is to offer an efficient solution for data management that supports informed decision-making.

Redwood City, CaliforniaHeadquarters
2012Year Founded
$188.9MTotal Funding
SERIES_CCompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees

Benefits

Flexible Work Hours

Risks

Competition from Microsoft and Cisco may impact TigerGraph's market share.
Rapid cyber threat escalation pressures TigerGraph to innovate security features.
Early-stage CoPilot release may face software bugs, affecting user trust.

Differentiation

TigerGraph offers the only distributed native graph database for advanced analytics.
Its graph database model efficiently integrates and analyzes complex data sets.
TigerGraph's technology reduces infrastructure costs, as demonstrated by Intuit's 77% savings.

Upsides

Rising demand for graph databases in cybersecurity boosts TigerGraph's market potential.
TigerGraph's CoPilot, QueryAI, simplifies data queries, enhancing user engagement.
Version 3.9.3's Kubernetes support positions TigerGraph for complex enterprise needs.

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