Subscribe for Insights
*Donʼt worry – you can unsubscribe at any time
Subscribe for Insights
*Donʼt worry – you can unsubscribe at any time
Subscribe for Insights
*Donʼt worry – you can unsubscribe at any time
All you need is CODE.
Connect. Orchestrate. Deploy. Empower.
All you need is CODE.
Connect. Orchestrate. Deploy. Empower.
Datatailr empowers your team to streamline analytics and data workflows from idea to production without infrastructure hurdles.
Datatailr empowers your team to streamline analytics and data workflows from idea to production without infrastructure hurdles.
Trusted by:
Common Problems
Hurdles to Effective Data Workflows
Hurdles to Effective Data Workflows
Complex infrastructure
Scalability
Security and Governance
Cross Functional Collaboration
Time to Market
Total Cost of Ownership
High Cost
Security Gaps
Slow R&D to Production cycle
The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.
Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.
Complex infrastructure
Scalability
Security and Governance
Cross Functional Collaboration
Time to Market
Total Cost of Ownership
High Cost
Security Gaps
Slow R&D to Production cycle
The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.
Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.
Complex infrastructure
Scalability
Security and Governance
Cross Functional Collaboration
Time to Market
Total Cost of Ownership
High Cost
Security Gaps
Slow R&D to Production cycle
The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.
Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.
Complex infrastructure
Scalability
Security and Governance
Cross Functional Collaboration
Time to Market
Total Cost of Ownership
High Cost
Security Gaps
Slow R&D to Production cycle
The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.
Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.
our solution
Streamline Analytics
Streamline Analytics
Focus on Insights, not Infrastructure
Focus on Insights, not Infrastructure
Research
Built-in Jupyter Notebooks
Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.
Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.
Research
Built-in Jupyter Notebooks
Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.
Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.
Research
Built-in Jupyter Notebooks
Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.
Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.
Develop
Platform-hosted VS Code – dedicated IDE per user
Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.
Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.
Develop
Platform-hosted VS Code – dedicated IDE per user
Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.
Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.
Develop
Platform-hosted VS Code – dedicated IDE per user
Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.
Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.
Deploy
Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.
Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.
Accelerate time-to-production by reducing IT involvement to a few simple commands.
Deploy
Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.
Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.
Accelerate time-to-production by reducing IT involvement to a few simple commands.
Deploy
Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.
Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.
Accelerate time-to-production by reducing IT involvement to a few simple commands.
Schedule
Unified compute scaling and batch management
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.
Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.
Schedule
Unified compute scaling and batch management
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.
Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.
Schedule
Unified compute scaling and batch management
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.
Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.
Monitor
Integrated monitoring and observability
Scheduler provides reports and visualization on all runs - logs, configs. This includes a Gantt view, Graph view, and Metrics view (CPU/Memory), along with custom labels for easier filtering and optional run reports delivered via email or SMS
Reduce troubleshooting time through real-time visibility into all processes.
Monitor
Integrated monitoring and observability
Scheduler provides reports and visualization on all runs - logs, configs. This includes a Gantt view, Graph view, and Metrics view (CPU/Memory), along with custom labels for easier filtering and optional run reports delivered via email or SMS
Reduce troubleshooting time through real-time visibility into all processes.
Monitor
Integrated monitoring and observability
Scheduler provides reports and visualization on all runs - logs, configs. This includes a Gantt view, Graph view, and Metrics view (CPU/Memory), along with custom labels for easier filtering and optional run reports delivered via email or SMS
Reduce troubleshooting time through real-time visibility into all processes.
Secure
End-to-end encryption and user level segregation
Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.
Current industry solutions require manual setup for environment separation which is time consuming and costly.
Secure
End-to-end encryption and user level segregation
Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.
Current industry solutions require manual setup for environment separation which is time consuming and costly.
Secure
End-to-end encryption and user level segregation
Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.
Current industry solutions require manual setup for environment separation which is time consuming and costly.
Research
Built-in Jupyter Notebooks
Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.
Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.
Research
Built-in Jupyter Notebooks
Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.
Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.
Develop
Platform-hosted VS Code – dedicated IDE per user
Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.
Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.
Develop
Platform-hosted VS Code – dedicated IDE per user
Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.
Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.
Deploy
Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.
Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.
Accelerate time-to-production by reducing IT involvement to a few simple commands.
Deploy
Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.
Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.
Accelerate time-to-production by reducing IT involvement to a few simple commands.
Schedule
Unified compute scaling and batch management
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation.
Each job runs in its own dedicated container with resource control, autoscaling capabilities (for time-sensitive workflows) and offers flexibility for running jobs (Schedule based, event based or manual).
Schedule
Unified compute scaling and batch management
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation.
Each job runs in its own dedicated container with resource control, autoscaling capabilities (for time-sensitive workflows) and offers flexibility for running jobs (Schedule based, event based or manual).
Visualize
Connect to any open-source tool or use our custom visualization tool – DT Cube
Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.
Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.
Monitor
Integrated monitoring and observability
Scheduler provides reports and visualization on all runs - logs, configs. This includes: Gantt view Graph view Metrics view (CPU / Mem) Custom labels (for easier filtering) Optional reports about runs via email / SMS
Reduce troubleshooting time through real-time visibility into all processes.
Monitor
Integrated monitoring and observability
Scheduler provides reports and visualization on all runs - logs, configs. This includes: Gantt view Graph view Metrics view (CPU / Mem) Custom labels (for easier filtering) Optional reports about runs via email / SMS
Reduce troubleshooting time through real-time visibility into all processes.
Secure
End-to-end encryption and user level segregation
Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.
Current industry solutions require manual setup for environment separation which is time consuming and costly.
Secure
End-to-end encryption and user level segregation
Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.
Current industry solutions require manual setup for environment separation which is time consuming and costly.
Ready to transform your analytics process
Ready to transform your analytics process
Ready to transform your analytics process
THE choice
See why Users choose datatailr
See why Users choose datatailr
Scales automatically
Scales automatically
Unlimited tooling
Unlimited tooling
Predictable costs
Predictable costs
Automatic Environment Separation
Automatic Environment Separation
Granular User level Control
Granular User level Control
Excel Add-in
Excel Add-in
No Vendor Lock-in
No Vendor Lock-in
No data migration needed
No data migration needed
success stories
Case Studies With our Clients
Case Studies With our Clients
AI Trading Data Providers for Commodities
Effortlessly managing 100-200 batch jobs daily to analyze and prepare data for client distribution.
Large Multi Strategy Fund
Delivered an all-in-one solution with pre-built Dev, Pre, and Prod environments – streamlined for data processing jobs.
AI Trading Data Providers for Commodities
Effortlessly managing 100-200 batch jobs daily to analyze and prepare data for client distribution.
Large Multi Strategy Fund
Delivered an all-in-one solution with pre-built Dev, Pre, and Prod environments – streamlined for data processing jobs.
20+ years of industry expertise
Meet the Team
Meet the Team
Our team brings decades of experience as Senior Technologists and Managing Directors at top financial institutions, including Goldman Sachs, JPMorgan, Bank of America, HSBC, and Barclays.
Our team brings decades of experience as Senior Technologists and Managing Directors at top financial institutions, including Goldman Sachs, JPMorgan, Bank of America, HSBC, and Barclays.
With over 20 years of innovation in commercial scientific computing, we've taken the best lessons learned and built a data analytics and model development platform designed for compute-heavy enterprises.
With over 20 years of innovation in commercial scientific computing, we've taken the best lessons learned and built a data analytics and model development platform designed for compute-heavy enterprises.
contact us
1177 Avenue of The Americas, 5th FloorNew York, NY 10036
© 2025 Datatailr, Inc. All rights reserved. New York, NY, USA.
© 2024 Datatailr, Inc. All rights reserved. New York, NY, USA.