INQDATA offers a fully managed Market Data as a Service platform that streamlines data ingestion, processing, and access using kdb+ technology, enabling clients to efficiently manage their market data without the burden of infrastructure and maintenance. This solution addresses the complexities of data management in capital markets, providing analytic-ready datasets while significantly reducing total cost of ownership.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CFFounders
Product
Problem
Capital markets firms face increasing challenges in managing and accessing vast amounts of market data. The complexities of data ingestion, processing, and ensuring data quality require significant infrastructure investment and specialized expertise. Maintaining a competitive edge demands a modern data and technology stack, often straining budgetary resources.
Solution
INQDATA offers a fully managed Market Data as a Service (MDaaS) platform that simplifies data management and access for capital markets. The platform handles all aspects of the data pipeline, including ingestion, quality control, storage, and access, eliminating the need for firms to manage complex infrastructure. By leveraging kdb+ technology and cloud-based architecture, INQDATA provides analytic-ready datasets in various formats, accessible through familiar tooling and APIs. This allows clients to focus on core business activities, accelerate innovation, and reduce the total cost of ownership associated with market data management.
Target Audience
The primary target audience includes capital markets firms, trading firms, hedge funds, and financial institutions that require efficient and reliable access to market data for trading, analysis, and regulatory compliance.
Features
- Fully managed data ingestion, handling both existing and new datasets with kdb+ for efficient and reliable processing.
- Comprehensive data quality tools for assessing accuracy and completeness, including monitoring, alerting, and customizable features.
- Scalable cloud infrastructure with optimized storage tiering for cost-performance efficiency.
- Seamless data access through rich APIs in kdb+, REST, and other endpoints, eliminating data engineering and preparation tasks.
- Parallel architecture for fast data backfill and batch processing.
- Continuous data monitoring and updates, ensuring data completeness and accuracy.