Data Wranglers
Solutions.
A cloud data workbench defined in IaC (Infastructre as Code) containing the essential tools for transforming raw business data into high-value data products.
Catalog & Governance: system for...
1. Taking inventory of business data assets and
2. Locating both raw data assets in source systems and enriched data assets in data products.
Data.World:
- Built on Knowledge graph (forward-thinking)
- Designed & priced for the SMB
- Cloud-native
Ingestion: Pipeline manager for moving data from business systems into the cloud data platform.
Airbyte:
- Broad selection of source connections
- Python code base
- Dagster integration
VaultSpeed empowers enterprises to deliver data products at scale through advanced automation, combining cutting-edge tools for modern data ecosystems, including data lakehouse, data mesh, and fabric architectures. Our no-code platform delivers a 10x improvement in automation, eliminating nearly all traditional ETL tasks across critical areas like data modeling, engineering, testing, and deployment. This transformation enables organizations, including clients like Liberty Mutual, Thomson Reuters, and Grundfos, to meet the challenges of next-generation data management with unprecedented efficiency.
VaultSpeed integrates seamlessly with leading platforms such as Snowflake, Databricks, and Microsoft Fabric. By focusing exclusively on metadata-level operations, VaultSpeed generates code that runs securely within the client’s environment, ensuring strong compatibility with highly regulated industries while safeguarding compliance and privacy without accessing client data directly.
VaultSpeed addresses one of the most significant challenges in the data space: the inefficiency of traditional ETL (Extract, Transform, Load) processes, which consume up to 80% of the time and effort in building data products. As AI-driven demands for data grow, data teams are under increasing pressure, yet automation solutions remain limited. VaultSpeed is uniquely positioned to solve this, enabling clients to automate the entire Software Development Life Cycle (SDLC) for data products—from design and development to testing and deployment—cutting delivery times to just two sprints.
The impact of VaultSpeed is a paradigm shift in how data engineers and business users collaborate. Our platform provides the flexibility to rapidly adapt to changing needs, driving faster innovation and enhanced collaboration between technical and business teams.
VaultSpeed is the solution organizations need to streamline their data workflows and lay out the data foundation for AI. For more information, please visit www.vaultspeed.com
Scheduler/orchestrator: Runs and customizes job schedules. Loads all assets in data products in the proper order.
Dagster:
- Python Code Base
- Treats data as assets
- Robust logging & error handling
- Intuitive UI
Code management & Deployment:
1. Source control for all data products, data assets, jobs & schedules.
2. Code deployment orchestrator
GitHub:
- Widely used
- Large support community
- Low-cost options
- Deployment in GitHub has many customization options.
Snowflake Data Cloud
Why?
- Based on SQL
- Learning curve is less steep than others
- Native AI/ML
- Easy to build and connect apps
Data Wranglers’ creates a workbench that loads your data, formats your data for business meaning, secures it, governs it and
1. Catalog & Governance
1. Taking inventory of business data assets and
2. Locating both raw data assets in source systems and enriched data assets in data products.
Data.World:
– Built on Knowledge graph (forward-thinking)
– Designed & priced for the SMB
– Cloud-native
2. Ingestion
Pipeline manager for moving data from business systmes into the cloud data platform.
Airbyte:
– Broad selection of source connections
– Python code base
– Dagster integration
3. Scheduler/orchestrator
Runs and customizes job schedules. Loads all assets in data products in the proper order.
Dagster:
– Python Code Base
– Treats data as assets
– Robust logging & error handling
– Intuitive UI
4. Code management & Deployment
1. Source control for all data products, data assets, jobs & schedules.
2. Code deployment orchestrator
GitHub:
– Widely used
– Large support community
– Low-cost options
– Deployment in GitHub has many customization options.
5. The platform?
Snowflake Data Cloud
Why?
– Based on SQL
– Learning curve is less steep than others
– Native AI/ML
– Easy to build and connect apps
Data Wranglers’ creates a workbench that loads your data, formats your data for business meaning, secures it, governs it and
Get in touch with us today
Data Wranglers ensures the shape of your cloud data platform fits your business. Contact us today to launch your cloud data journey.