RapidRatings Tech Stack

Financial health analytics and supply chain risk intelligence for enterprises

Software Development New York, NY 51–200 employees Founded 2007 Privately Held

RapidRatings analyzes financial health and third-party risk across 140+ countries using Python, SQL databases, and cloud infrastructure (AWS, Azure, GCP). The company is actively migrating from legacy reporting systems toward a modern data lake/warehouse stack (Databricks, BigQuery, Redshift) while adopting visualization tools like Looker and ThoughtSpot — a pattern consistent with moving from batch reporting to real-time analytics. Recent hiring skews heavily sales (4 of 9 roles) and data engineering (2 roles), signaling renewed focus on customer expansion and platform modernization.

Tech Stack 25 technologies

Core StackPython Tableau Salesforce Intercom Gong MongoDB PostgreSQL AWS AWS RDS AWS Lambda Neo4j Power BI Looker QuickSight Refinitiv Visio Protocol Buffers AWS SQS Azure GCP

AdoptingDatabricks BigQuery Redshift Looker Power BI Tableau ThoughtSpot Databricks SQL

What RapidRatings Is Building

◆Challenges

Legacy systems coexist with new architecture
Platform efficiency improvement
Balancing near-term delivery with long-term re-architecture
Migrating legacy reporting systems
Establishing data governance
Reporting gaps
Data visibility
Data accuracy issues
Retaining enterprise accounts
Expansion opportunities

▲Active Projects

Executive business reviews
Modern enterprise data lake/warehouse ecosystem
Enterprise data visualization & analytics platform
Program strategy shaping
Renewal cycle management
Program strategy evolution
Platform roadmap advocacy
Dib and dow sales opportunities
New business strategy for dib and dow

Hiring Activity

Accelerating9 roles · 9 in 30d

Department

Sales

Data

Engineering

Product

Seniority

Senior

Director

Notable leadership hires: Data Lead

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About RapidRatings

RapidRatings provides financial health ratings and predictive analytics to help enterprises assess the risk of suppliers, vendors, and other business partners. The platform analyzes both public and private company data globally and surfaces insights into likelihood of performance across third parties. The company serves large enterprises managing supply chain and corporate credit risk. Internally, RapidRatings operates a multi-cloud infrastructure (AWS, Azure, GCP) with MongoDB and PostgreSQL as primary databases, routing analytics through Tableau, QuickSight, Power BI, and Looker. Current priorities include modernizing the enterprise data architecture, closing reporting gaps, and improving data governance across legacy and new systems.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2007

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does RapidRatings use?

Python, PostgreSQL, MongoDB, AWS (Lambda, RDS, SQS), Azure, GCP, Tableau, QuickSight, Power BI, Salesforce, and Refinitiv. The company is adopting Databricks, BigQuery, Redshift, and Looker.

What is RapidRatings currently working on?

Modernizing the enterprise data lake/warehouse ecosystem, migrating legacy reporting systems, building new analytics visualization platforms, improving data governance, and expanding into defense and industrial sectors (DIB/DoW).

How this profile is built

RapidRatings's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.