Automate the flow of financial market data into your analytics warehouse. Stop writing custom ETL scripts to ingest Refinitiv feeds, manually refreshing pricing tables, or stitching together fragmented market data snapshots across your data stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Continuously ingest live pricing, quotes, and trade data from Refinitiv feeds directly into partitioned BigQuery tables. Redbird handles schema mapping, deduplication, and incremental updates so your analytics always reflect current market conditions without manual data pipeline maintenance.
Automatically join your internal portfolio holdings in BigQuery with Refinitiv company financials, corporate actions, and instrument reference data. Redbird maps security identifiers across systems and schedules regular refreshes to keep enriched analytics tables current.
Pull position and exposure data from BigQuery, enrich with live Refinitiv pricing and volatility metrics, then write consolidated risk snapshots back to BigQuery for downstream reporting. Redbird orchestrates the entire workflow on a schedule with full error handling and data validation.
Monitor BigQuery analytical queries for conditions that require updated Refinitiv datasets—like new securities added to portfolios or coverage universe expansions. Automatically fetch the necessary Refinitiv reference or pricing data and update relevant BigQuery tables.
Systematically capture time-series market data from Refinitiv and store it in cost-optimized, date-partitioned BigQuery tables for long-term backtesting and analysis. Redbird manages retention policies, compression, and ensures complete historical coverage without gaps.
Keep BigQuery-based quant models and backtests fed with fresh Refinitiv pricing, fundamentals, and estimates data. Redbird schedules data refreshes, validates completeness, and triggers BigQuery ML model retraining when material data updates occur.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Refinitiv with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both BigQuery's columnar table structures and Refinitiv's complex financial data schemas—so you can connect them without becoming an expert in either API.
Redbird's AI automatically maps Refinitiv instrument identifiers (RICs, ISINs, PermIDs) to your BigQuery dimension tables, handles nested JSON market data structures, and translates Refinitiv feed schemas into optimized BigQuery column definitions. It understands partitioning strategies for time-series pricing data, manages incremental updates to avoid full reloads, and ensures data type compatibility between Refinitiv's APIs and BigQuery's native types without custom transformation code.
faster than building custom Refinitiv-to-BigQuery ETL pipelines
Redbird can pull from BigQuery and Refinitiv simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or Refinitiv.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Refinitiv, or from Refinitiv back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any BigQuery query result or Refinitiv data event—no coding required.
Trigger when a scheduled BigQuery query returns results meeting specified conditions or row counts.
Detect when new tables or date partitions appear in specified BigQuery datasets.
Monitor BigQuery tables for column additions, type changes, or structural modifications.
Run SQL queries in BigQuery with dynamic parameters from upstream workflow data.
Insert, append, or overwrite BigQuery tables with transformed data from Refinitiv or other sources.
Generate or refresh BigQuery materialized views combining multiple data sources for faster analytics.
Trigger when new pricing, quotes, or trade data arrives for specified instruments or asset classes.
Detect dividends, splits, mergers, or other corporate events affecting tracked securities.
Notify when Refinitiv updates earnings estimates, financials, or company reference data.
Retrieve current or historical prices for specific securities using RICs or other identifiers.
Pull financial statements, ratios, estimates, or ownership data for specified companies.
Request historical OHLCV, tick data, or other time-series datasets for analytical backtesting.
Join quantitative analysts, risk teams, and data engineers who've automated their Refinitiv-to-BigQuery workflows with Redbird. Stop maintaining fragile ETL scripts and start shipping analytics faster.