Analytics Evaluated
Polybase logo

Polybase

Polybase is a decentralized database built on the Polygon blockchain, designed to store and manage data in a secure, verifiable, and scalable manner. It allows developers to build dApps with robust data persistence, leveraging cryptographic proofs for data integrity and user-controlled data access.

Category / Domain Analytics
I/O Performance Empirical Profile

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

Polybase is a decentralized database built on the Polygon blockchain, designed to store and manage data in a secure, verifiable, and scalable manner. It allows developers to build dApps with robust data persistence, leveraging cryptographic proofs for data integrity and user-controlled data access.

Domain Classification & Tags

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Varies greatly based on data source, query complexity, and Azure SQL DW/Synapse Analytics scale. Can range from MB/s to GB/s.

Payload Size: Varies based on data source and query. Can range from KB to TB.

Processing Latency: Varies greatly based on data source, network latency, query complexity, and Azure SQL DW/Synapse Analytics scale. Can range from tens of milliseconds to minutes.

Write Performance Profile

Throughput: PolyBase is primarily for reading external data. Direct write performance metrics are not applicable as it's not a write engine for external data. Data is typically loaded into Azure SQL DW/Synapse Analytics first, then queried via PolyBase if external tables are used.

Payload Size: Not applicable as PolyBase is primarily for reading external data.

Processing Latency: Not applicable as PolyBase is primarily for reading external data.

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to Polybase.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.