Building a robust data platform can take years of development and solutioning. Let Distilled’s core foundation and architecture, as well as configurable frameworks, operate as your master data management system, all out of the box.
Immersive and branded data experiences through Distilled.
Building a robust data platform can take years of development and solutioning. Let Distilled’s core foundation and architecture, as well as configurable frameworks, operate as your master data management system, all out of the box.
Book a DemoCloud Data Operating System
Robust Isolated-Tenant Cloud Infrastructure
Highly scalable data management & isolated cloud architecture back-ends. Built for all thresholds of data-intensive requirements, and best-in-class security & compliance specifications in mind.
Accelerator Data Applications – No Engineering Required
From Business Intelligence dashboards, off-the-shelf Machine Learning models, to insight-driven data activation workflows – All are ready for use in minutes as opposed to weeks or months.
Customizable & White-Label Ready
Whether for internal analytics use-cases or to offer externally as a white-labeled capability or product, Distilled is designed for one-to-many partner distribution models and can be customized for look and feel.
The deployable modern data stack.
Distilled leverages a combination of the best-in-class technologies, frameworks, and infrastructure available to the market. We harmonize all of these solutions through our uniform integration, abstraction and orchestration protocol, and proprietary deployment technology.
Book a Demo
Save time and money by utilizing our infrastructure, tailored to your needs.
Distilled includes customizable interfaces and component libraries that will be tailored to your requirements and brand aesthetics to bring to market a truly special and bespoke data insights platform.
Book a Demo
Accelerate your business goals.
- Rapid Data Integration and Onboarding: seamless data integration for 150+ market-standard sources
- Highly Scalable Data Warehousing: fully managed cloud data warehouse for centralizing all of your company’s datasets
- Secure Access for Plug & Play Analysis in Preferred Tooling: connection string for all BI tools, analytics tools, and spreadsheet software (excel/g-sheets) to rapidly produce descriptive dashboards, build models, garner insights, and monitor critical metrics near-real time
ECONOMIC VALUE PROPOSITIONS
Do-It-Yourself Data Stack vs Distilled
The deployable modern data stack.
Distilled leverages a combination of the best-in-class technologies, frameworks, and infrastructure available to the market. We harmonize all of these solutions through our uniform integration, abstraction and orchestration protocol, and proprietary deployment technology.
Book a Demo
Save time and money by utilizing our infrastructure, tailored to your needs.
Distilled includes customizable interfaces and component libraries that will be tailored to your requirements and brand aesthetics to bring to market a truly special and bespoke data insights platform.
Book a Demo
Accelerate your business goals.
- Rapid Data Integration and Onboarding: seamless data integration for 150+ market-standard sources
- Highly Scalable Data Warehousing: fully managed cloud data warehouse for centralizing all of your company’s datasets
- Secure Access for Plug & Play Analysis in Preferred Tooling: connection string for all BI tools, analytics tools, and spreadsheet software (excel/g-sheets) to rapidly produce descriptive dashboards, build models, garner insights, and monitor critical metrics near-real time
ECONOMIC VALUE PROPOSITIONS
Do-It-Yourself Data Stack vs Distilled
Frequently asked questions.
Can you connect the current platform to our existing data warehouse?
Yes, but with caveats that influence total cost. Our ideal scenario would be each of your “clients” or deployments has a Distilled data warehouse of which could sync to a root/master distilled data lake. This is how the Distilled platform is built out of the box for 1-to-many “external MDS” distributed deployments. We’d then load the data from the lake to your existing data warehouse. This would be factored into the “custom development category”
What is custom versus pre-built regarding our use-case on the Distilled data platform?
High-level: ~30-35% customization will be required in implementation. This percentage is derived from any modifications to the look & feel of the front-end (and the depth of those modifications/requirements), the data warehousing architecture requirements, the data object/field mapping UI and supporting back-end functionality, and any unique alerting/notifications requirements.
What tech stack is Distilled built on?
AWS services power a majority of the underlying Distilled platform. As it relates to ELT services, we use Fivetran. For transformations, modeling and the semantic layer, we use DBT. For BI tooling, our preference is Sisense but we’ve worked with most of the mainstream offerings for embedding use-cases.
Frequently asked questions.
Can you connect the current platform to our existing data warehouse?
Yes, but with caveats that influence total cost. Our ideal scenario would be each of your “clients” or deployments has a Distilled data warehouse of which could sync to a root/master distilled data lake. This is how the Distilled platform is built out of the box for 1-to-many “external MDS” distributed deployments. We’d then load the data from the lake to your existing data warehouse. This would be factored into the “custom development category”
What is custom versus pre-built regarding our use-case on the Distilled data platform?
High-level: ~30-35% customization will be required in implementation. This percentage is derived from any modifications to the look & feel of the front-end (and the depth of those modifications/requirements), the data warehousing architecture requirements, the data object/field mapping UI and supporting back-end functionality, and any unique alerting/notifications requirements.
What tech stack is Distilled built on?
AWS services power a majority of the underlying Distilled platform. As it relates to ELT services, we use Fivetran. For transformations, modeling and the semantic layer, we use DBT. For BI tooling, our preference is Sisense but we’ve worked with most of the mainstream offerings for embedding use-cases.
