Single-tenant • Your cloud • No data migration
Single-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Single-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Single-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Why hedge funds choose Datatailr
Why hedge funds choose Datatailr
Go live fast
Go live fast
Deployment and testing usually take several days. One case study onboarded in under a month
Elastic at market speed
Elastic at market speed
Burst to thousands of VMs. Run about 50K jobs with around 10 seconds start spread and scale to about 100K jobs in roughly 10 minutes
Self service for quants and analysts
Self service for quants and analysts
One click deploy, SDLC, and an Excel add in that exposes Python as native functions
Predictable TCO
Predictable TCO
License based platform. Compute is billed by your cloud with no platform markup
Built for your team
One platform based
on 4 pillars
Datatailr unifies the building blocks of modern analytics in a secure BYOC platform
Datatailr unifies the building blocks of modern analytics in a secure BYOC platform
Portfolio Manager
Portfolio Manager
Launch new strategies quickly while keeping costs governable and auditable
Launch new strategies quickly while keeping costs governable and auditable
Head of Quant Research
Head of Quant Research
Research, test, and deploy in one governed workspace with fewer handoffs
Python and Jupyter for research. Deploy apps and services in minutes.
Python and Jupyter for research. Deploy apps and services in minutes.
CTO / Head of IT
CTO / Head of IT
SSO with optional MFA, RBAC, approvals from Dev to Pre to Prod, audit trails, and outbound egress control
Code or no-code DAGs with built-in versioning and one-click rollback.
No YAML.
Code or no-code DAGs with built-in versioning and one-click rollback. No YAML.
Quants & Analysts
Quants & Analysts
Focus on research and alpha, not infrastructure. Connect data, code in familiar tools like Jupyter/VS Code, backtest and analyse results in Excel – without developer queues.
Unified SQL that queries Snowflake, S3, Postgres and 40+ more databases where the data already lives. No migration.
Focus on research and alpha, not infrastructure. Connect data, code in familiar tools like Jupyter/VS Code, backtest and analyse results in Excel – without developer queues.
What you can ship
What you can ship
Real time signals for energy and commodities desks at massive scale, including about 50K parallel jobs and bursts to roughly 2,000 VMs
Periodic batch jobs run by quants themselves, reducing reliance on infra core engineering
Excel driven analytics backed by governed services and caching
Security
and Compliance
Security
and Compliance
Runs in your cloud in a single tenant deployment. SSO with optional MFA. Granular RBAC. Encryption in transit. IP allowlists and outbound firewall. Full audit logs.
Runs in your cloud in a single tenant deployment. SSO with optional MFA. Granular RBAC. Encryption in transit. IP allowlists and outbound firewall. Full audit logs.
Proof from Real Funds
Use cases
and outcomes
Energy trading
Energy trading
about 50K jobs in parallel
about 50K jobs in parallel
about 50K jobs in parallel
first to last job start around 10 seconds
first to last job start around 10 seconds
first to last job start around 10 seconds
burst to roughly 2,000 VMs
burst to roughly 2,000 VMs
burst to roughly 2,000 VMs
about 100K jobs in around 10 minutes
about 100K jobs in around 10 minutes
about 100K jobs in around 10 minutes
Data provider and commodities
Data provider and commodities
100 to 200 batch jobs per day
100 to 200 batch jobs per day
100 to 200 batch jobs per day
onboarding in under a month
onboarding in under a month
onboarding in under a month
a proper SDLC
a proper SDLC
a proper SDLC
Challenges and what solves them
Use cases
and outcomes
Challenge
Research and market data live across Snowflake, S3, Postgres, and external feeds
New strategies wait on infrastructure tickets and cluster work
Intraday bursts around opens, closes, and news exceed web style autoscaling
Backtests and live runs must be reproducible for investors and auditors
Finance needs cost per run, per signal, and per strategy
Risk grows when data leaves the fund cloud
Use
No migration
Federated SQL in your cloud with role based access and masking
Result
Query in place under one policy layer with no centralization project
Challenge
Research and market data live across Snowflake, S3, Postgres, and external feeds
New strategies wait on infrastructure tickets and cluster work
Intraday bursts around opens, closes, and news exceed web style autoscaling
Backtests and live runs must be reproducible for investors and auditors
Finance needs cost per run, per signal, and per strategy
Risk grows when data leaves the fund cloud
Use
No migration
Federated SQL in your cloud with role based access and masking
Result
Query in place under one policy layer with no centralization project
Challenge
Research and market data live across Snowflake, S3, Postgres, and external feeds
New strategies wait on infrastructure tickets and cluster work
Intraday bursts around opens, closes, and news exceed web style autoscaling
Backtests and live runs must be reproducible for investors and auditors
Finance needs cost per run, per signal, and per strategy
Risk grows when data leaves the fund cloud
Use
No migration
Federated SQL in your cloud with role based access and masking
Result
Query in place under one policy layer with no centralization project
Challenge
Research and market data live across Snowflake, S3, Postgres, and external feeds
Use
No migration
Federated SQL in your cloud with role based access and masking
Result
Query in place under one policy layer with no centralization project
New strategies wait on infrastructure tickets and cluster work
Intraday bursts around opens, closes, and news exceed web style autoscaling
Backtests and live runs must be reproducible for investors and auditors
Finance needs cost per run, per signal, and per strategy
Risk grows when data leaves the fund cloud
Challenge
Research and market data live across Snowflake, S3, Postgres, and external feeds
Use
No migration
Federated SQL in your cloud with role based access and masking
Result
Query in place under one policy layer with no centralization project
New strategies wait on infrastructure tickets and cluster work
Intraday bursts around opens, closes, and news exceed web style autoscaling
Backtests and live runs must be reproducible for investors and auditors
Finance needs cost per run, per signal, and per strategy
Risk grows when data leaves the fund cloud
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© 2025 Datatailr, Inc. All rights reserved. New York, NY, USA.