This page compares the features available in Tiger Cloud on AWS, Tiger Cloud on Azure, and self-hosted TimescaleDB Community Edition.
Best-in-class PostgreSQL performance
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Automatic partitioning via hypertables for efficient indexes and faster ingest | ✅ | ✅ | ✅ |
| Continuous aggregates | ✅ | ✅ | ✅ |
| Time/partition-oriented constraint exclusion for faster queries | ✅ | ✅ | ✅ |
| Skip scans, ordered appends, custom optimizations for faster LIMIT and DISTINCT queries | ✅ | ✅ | ✅ |
| Columnar storage for accelerated scans | ✅ | ✅ | ✅ |
| Vectorized query execution (SIMD) | ✅ | ✅ | ✅ |
| Specialized vector indexes for AI applications | ✅ | ✅ | ✅ |
| Source connectors | PostgreSQL, Amazon S3, Apache Kafka | PostgreSQL, Apache Kafka | Manual |
| Destination connectors | Apache Iceberg | ❌ | ❌ |
| In-Console CSV, Parquet, and text file imports | ✅ | ❌ | ❌ |
Flexible analysis with full SQL
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Complete PostgreSQL ecosystem (all PostgreSQL features, connectors, third-party drivers) | ✅ | ✅ | ✅ |
| Cross-table JOINs for time-series and events with relational tables | ✅ | ✅ | ✅ |
| Rich timestamp and timezone support | ✅ | ✅ | ✅ |
| Flexible time-bucketing for time-oriented analysis | ✅ | ✅ | ✅ |
| Advanced hyperfunctions (interpolation, approximation, visualization) | ✅ | ✅ | ✅ |
| Geospatial and vector data types | ✅ | ✅ | ✅ |
Automated data management
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Columnstore compression (up to 98% storage savings) | ✅ | ✅ | ✅ |
| Data retention policies | ✅ | ✅ | ✅ |
| Data tiering with automated policies | ✅ | ✅ | ❌ |
| Data reordering for efficient disk scans | ✅ | ✅ | ✅ |
| Data downsampling for efficient historical analysis | ✅ | ✅ | ✅ |
| Background job scheduler and user-defined jobs | ✅ | ✅ | ✅ |
| Automated chunk interval tuning | ✅ | ✅ | ❌ |
Enterprise scalability
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Disaggregated compute and storage | ✅ | ✅ | Manual |
| Dynamic compute resizing | ✅ | ✅ | ❌ |
| Dynamic disk storage with usage-based pricing | ✅ | ✅ | ❌ |
| Dynamic I/O provisioning for high-read/high-write performance | ✅ | ✅ | Manual |
| Low-cost storage with infinite capacity | ✅ | ✅ | ❌ |
| Transparent queries across high-performance and low-cost tiers | ✅ | ✅ | ❌ |
| Read replicas with load balancing for seamless read scaling | ✅ | ✅ | Manual |
| Connection pooling for connection scaling | ✅ | ✅ | Manual |
| Automated resource-aware parameter tuning | ✅ | ✅ | ❌ |
| Terraform for infrastructure-as-code control | ✅ | ✅ | ❌ |
| Management interfaces (Console, REST API, CLI, Tiger MCP) | ✅ | ✅ | ❌ |
High availability and reliability
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Multi-AZ deployments for high availability | ✅ | ✅ | Manual |
| Continuous incremental backup and automated restore | ✅ | ✅ | Manual |
| Cross-region backup and restore | ✅ | ✅ | ❌ |
| Point-in-time recovery and forking | ✅ | ✅ | Manual |
| Configurable backup retention of up to 180 days | ✅ | ✅ | Manual |
| Regular database and disk snapshots for fast restore | ✅ | ✅ | ❌ |
| Rapid recovery (fast database restart, remote disk remount) | ✅ | ✅ | ❌ |
| Memory guard protections to avoid out-of-memory crashes | ✅ | ✅ | ❌ |
| Decoupled control/data planes for greater resilience | ✅ | ✅ | ❌ |
| Commercial SLAs | ✅ | ✅ | ❌ |
Automated upgrades and software patching
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Automated upgrades during maintenance windows | ✅ | ✅ | ❌ |
| Phased, zero-downtime TimescaleDB and PostgreSQL minor upgrades | ✅ | ✅ | ❌ |
| PostgreSQL major version upgrades with forking workflow and disk snapshots | ✅ | ✅ | ❌ |
| HA-replica-aware coordinated upgrades | ✅ | ✅ | ❌ |
| Fleet-wide version and stability monitoring with staged roll-out/roll-back | ✅ | ✅ | ❌ |
Security and compliance
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| SOC 2 Type 2, GDPR, HIPAA certified compliance | ✅ | ✅ | ❌ |
| Data encryption at rest (disk and backup) | ✅ | ✅ | Manual |
| Data encryption in transit | ✅ | ✅ | Manual |
| Database SSL with fully verifiable certificate chains | ✅ | ✅ | ❌ |
| Control plane role-based access control | ✅ | ✅ | ❌ |
| Database role-based access control | ✅ | ✅ | ✅ |
| Multi-factor authentication | ✅ | ✅ | ❌ |
| Corporate SSO and SAML | ✅ | ✅ | ❌ |
| Enforce MFA or SSO for all project members | ✅ | ✅ | ❌ |
| IP allow lists | ✅ | ✅ | Manual |
| Private connectivity to your cloud network | AWS PrivateLink, Transit Gateway, VPC peering | Azure Private Link | ❌ |
| Layered database privilege escalation protections | ✅ | ✅ | ❌ |
| Secure SDLC, vulnerability scanning, third-party pen testing | ✅ | ✅ | ❌ |
Deep observability
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| Operational database visibility (performance, regressions, optimization) | ✅ | ✅ | ❌ |
| Automated query analysis and statistics | ✅ | ✅ | ❌ |
| Per-query drill-downs (execution times, row results, plans, memory, cache) | ✅ | ✅ | ❌ |
| In-Console metric visualization and system logs | ✅ | ✅ | ❌ |
| Metric exporters | CloudWatch, Prometheus, Datadog | Azure Monitor, Prometheus, Datadog | ❌ |
| Connection monitoring and management | ✅ | ✅ | Manual |
Production-grade support and operations
| Feature | Tiger Cloud on AWS | Tiger Cloud on Azure | Self-hosted TimescaleDB |
|---|
| 24/7 follow-the-sun support (APAC, EMEA, Americas) | ✅ | ✅ | Contact sales |
| Production support (severity 1) | ✅ | ✅ | Contact sales |
| Architectural reviews, data modeling, query optimization, migration support | ✅ | ✅ | Contact sales |
| 24/7 operational monitoring and control | ✅ | ✅ | Contact sales |
| 98%+ customer satisfaction (CSAT scores) | ✅ | ✅ | Contact sales |
- Tiger Cloud on AWS: Full feature set, including AWS-specific integrations. Private connectivity through AWS PrivateLink, Transit Gateway, and VPC peering, cross-region backup and restore, an Amazon S3 source connector, the Iceberg connector, and metric export to CloudWatch (as well as Prometheus and Datadog).
- Tiger Cloud on Azure: The same core database and management platform. Private connectivity through Azure Private Link, cross-region backup and restore, and metric export to Azure Monitor (as well as Prometheus and Datadog). Some AWS-specific integrations, such as the S3 source connector and the Iceberg connector, VPC peering, and CloudWatch, are not yet available.
- Self-hosted TimescaleDB: Full SQL and time-series capabilities. You manage backups, high availability, scaling, and observability yourself. Managed operations and enterprise support are available by contacting sales.
