Datastream
Financial research software
Financial services software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Datastream
Datastream is a financial market data and analytics service that provides historical time-series data across asset classes, macroeconomic indicators, and company fundamentals. It is used by investment professionals, economists, and researchers for market analysis, back-testing, and economic research. The product is commonly accessed via desktop tools and data feeds for integration into spreadsheets and quantitative workflows, with an emphasis on long-run historical coverage and standardized time-series construction.
Deep historical time-series coverage
Datastream is widely used for long-horizon historical analysis across equities, fixed income, FX, commodities, and macroeconomic series. This supports research use cases such as regime analysis, factor studies, and event studies that require consistent history. Its focus on time-series continuity can reduce the effort needed to stitch together data from multiple sources.
Broad cross-asset and macro data
The service aggregates market, economic, and company-level datasets in a single environment. This helps users combine macro indicators with asset prices and fundamentals for multi-factor or top-down research. It is particularly relevant for teams that need both market and economic series rather than only company intelligence or news.
Integration into quant workflows
Datastream is commonly consumed through desktop add-ins and data delivery mechanisms that fit spreadsheet and programmatic research workflows. This supports repeatable data pulls for models, dashboards, and back-testing pipelines. It can serve as a centralized source for standardized series definitions used across a team.
Complex licensing and entitlements
Access often depends on dataset-level entitlements and user permissions, which can be difficult to manage across teams. Costs and coverage can vary based on exchanges, regions, and specific content packages. This can make budgeting and scaling access less straightforward than simpler, single-package tools.
Steep learning curve for new users
Effective use typically requires familiarity with series mnemonics, dataset conventions, and time-series handling. New users may need training to avoid common issues such as incorrect frequency, currency, or adjustment settings. This can slow adoption for occasional users compared with more guided research interfaces.
Not a full research narrative tool
Datastream primarily focuses on structured datasets and time-series retrieval rather than end-to-end narrative research workflows. Users often rely on separate tools for document search, expert transcripts, or automated summarization. Teams seeking an all-in-one research experience may need additional products alongside it.
Seller details
London Stock Exchange Group plc
London, United Kingdom
2000
Public
https://www.lseg.com/
https://x.com/LSEGplc
https://www.linkedin.com/company/london-stock-exchange-group/
