Singdata Editions Overview
Standard Edition vs. Enterprise Edition
Singdata Lakehouse provides two product editions—Standard Edition and Enterprise Edition—designed to meet different scales of analytical workloads and security requirements. Both editions share the same core Lakehouse architecture, while the Enterprise Edition offers expanded capabilities in scale, governance, and security.
This document summarizes the key functional differences between the two editions.
1. Development & Analytics Capabilities
Task Development and Orchestration
| Capability | Standard Edition | Enterprise Edition |
|---|---|---|
| Python Tasks | Up to 5 tasks (creation and concurrent execution) | Unlimited |
| Shell Tasks | Up to 5 tasks | Unlimited |
| Databricks-Compatible Tasks | Up to 5 tasks | Unlimited |
Observability & Data Management
| Capability | Standard Edition | Enterprise Edition |
|---|---|---|
| Monitoring & Alert Rules | Up to 5 rules | Unlimited |
| Data Quality Rules | Up to 5 active rules | Unlimited |
| Notebooks (Analysis) | Up to 5 notebooks | Unlimited |
| Data Sharing Objects | Up to 5 shares | Unlimited |
| Dynamic Tables | Up to 5 tables | Unlimited |
Advanced Indexing
| Capability | Standard Edition | Enterprise Edition |
|---|---|---|
| Vector Index | Not available | Supported |
| Inverted Index | Not available | Supported |
2. Security, Governance & Enterprise Readiness
The Enterprise Edition is designed for organizations with strict security, compliance, and network isolation requirements.
| Capability | Standard Edition | Enterprise Edition |
|---|---|---|
| Private Network Connectivity (PrivateLink / VPC Access) | Not available | Supported |
| Private Storage | Not available | Supported |
| Network Policy Control | Not available | Supported |
| Operation Audit Logs | Not available | Supported |
| User Login Audit | Not available | Supported |
| Dynamic Data Masking | Not available | Supported |
| Single Sign-On (SSO) | Not available | Supported |
3. Edition Selection Guidance
- Standard Edition is suitable for:
- Small teams and individual analysts
- Lightweight development and analytics
- Proof-of-concept and early-stage workloads
- Enterprise Edition is suitable for:
- Large-scale production workloads
- Enterprises requiring advanced security and compliance
- Organizations with private network, governance, and audit requirements
- AI, vector search, and advanced indexing scenarios