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Secure Data Platforms
Sherlock Data Services provides a one-stop shop for building and managing cloud-based data management solutions that enable access to on-demand, elastic, secure, data services to tackle a variety of data. These turnkey services span the entire data pipeline including ingestion & integration, storage, compute and end user tools.
Data Management is Challenging
Research data management is increasingly challenging due to outdated and isolated data platforms that hinder agility and adaptability. Teams are reluctant to shift from existing investments, constrained by the high costs of data engineering tools and expertise. Compounding these issues is also the rising diversity of data types, posing significant hurdles in data utilization and management.
Challenges for Organizations
- Existing on-premises data platforms are unable to scale.
- Not maximizing ROI and overspending on compute, staffing and licensing costs.
- Data compliance regulations with security and legal requirements.
- Many academic and research teams lack time and resources to retrain on new technologies.
- Hiring data and cloud engineers with the right expertise is slow and expensive.
- SLAs must be upheld despite market changes and data complexity.
Benefits of Sherlock Data Management
Sherlock strives to create a well-architected solution that focuses on delivering value to customers while addressing key attributes around modernization, scalability, reliability and performance, security and cost savings
Cost-Efficient and
Agile Operations
Secure and Compliant
Cloud Hosting
Serverless and Automated
Data Management
Enhanced Data Processing
and Productivity
Accelerated Data Management | Unified Analytics
Move from dated data silos to a modern, cloud-based, secure data platform. End-to-end value around cloud infrastructure automation, security & compliance, FinOps, data management, and user apps. Platform for both engineering and data analysis teams.
Sherlock Use Case
Sherlock, the University of California Office of the President’s (UCOP) risk and technology delivery services groups and DataMorph partnered to successfully re-architect and migrate the UCOP Risk Services Data Management System from an on-premise, Hadoop-based platform to a serverless, data lake platform in the AWS cloud.
Prior 2016
2016 (RDMS 1.0)
- High License and Maintenance Costs
- Process Semi & Un-Structured Data
- Implement Data Lake
2021 (RDMS 2.0)
- Serverless Computing
- Pay-Per-Use
- Reduced Infrastructure Maintenance
- Efficient Data Processing
- Reduced Cost
2023
- Additional Benefits
- Simpler Data Engineering
- Support for ACID Transactions
- AI/ML Use Cases
- Additional Reduction in Costs
Our Partners
DataMorph is a visually-driven data engineering platform for scaling ELT processes.
- A low-code/no-code data engineering platform to build Data Products.
- Designed for Business Analysts, Analytics Engineers, and Data Engineers.
- Data integration, transformation & orchestration.
- A single unified framework for real time and batch data pipelines.
- Leverages simplicity of SQL and power of Spark.
- Out-of-the-box pre-built data transformation processors.
- Improves data team productivity by 80%-90%.
Databricks is a cloud-based platform designed for large-scale data engineering and collaborative data science.
- Delta Lake offers industry-leading performance and a cost-effective lakehouse.
- Efficiently handles large volumes of data and scales automatically.
- Advanced analytics capabilities with support for machine learning and AI.
- Supports a wide range of data sources and formats.
- Robust security features.