List of ArcticDB Customers
London, EC4R 3AD,
United Kingdom
Since 2010, our global team of researchers has been studying ArcticDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ArcticDB for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ArcticDB for Analytics and BI include: Bloomberg, a United States based Media organisation with 21000 employees and revenues of $12.50 billion, Man Group, a United Kingdom based Banking and Financial Services organisation with 1777 employees and revenues of $1.87 billion and many others.
Contact us if you need a completed and verified list of companies using ArcticDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The ArcticDB customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bloomberg | Media | 21000 | $12.5B | United States | ArcticDB | ArcticDB | Analytics and BI | 2023 | n/a |
In 2023 Bloomberg integrated ArcticDB into its BQuant analytics platform to enable quantitative analysts to process, analyse and backtest billions of rows of time series data as part of an Analytics/BI deployment. ArcticDB was embedded in BQuant to handle high volume market data workloads and to accelerate interactive modelling and backtesting workflows for quantitative research.
The implementation positioned ArcticDB as a high performance time series datastore within the BQuant architecture, delivering fast ingest, indexed columnar storage and query acceleration capabilities typical of advanced analytics platforms. Functional focus areas included time series ingestion, historical data retrieval for backtesting, and query performance optimization to support developer productivity in model development and testing.
Operational scope was focused on financial market data and quantitative modelling in the United States, delivered as part of BQuant to Bloomberg quantitative analysts and developer teams. Integration points emphasized direct embedding with BQuant execution and data access layers, and governance centered on platform level provisioning, controlled dataset access for quant teams, and workflow alignment to accelerate analysis pipelines while improving performance and developer productivity.
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Man Group | Banking and Financial Services | 1777 | $1.9B | United Kingdom | ArcticDB | ArcticDB | Analytics and BI | 2023 | n/a |
In 2023, Man Group implemented ArcticDB to support large-scale quantitative research and time-series analytics across multiple asset classes. Apps Category: , Application: ArcticDB, the deployment targeted the finance quant research area in the United Kingdom and was commercialised internally to improve data access and enable point-in-time backtesting for quantitative teams.
ArcticDB was provisioned as a DataFrame and time-series store to support Python-based research workflows, with configuration focused on high-volume time-series ingestion and indexed query access for point-in-time snapshots. Functional capabilities implemented include persistent time-series storage, DataFrame-oriented read and write semantics, and query patterns aligned to backtesting and model validation workloads.
Operational scope covered Man Group quantitative research teams in the UK, supporting multi-asset research and collaborative code and data sharing. Governance and rollout centered on standardizing point-in-time data retrieval and centralizing access patterns to improve reproducibility, while commercialisation inside the firm encouraged adoption across research groups and delivered reported scale and collaboration benefits for research teams.
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Buyer Intent: Companies Evaluating ArcticDB
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