This page compares the features available in Tiger Cloud on AWS, Tiger Cloud on Azure, and self-hosted TimescaleDB Community Edition.
Legend
| Symbol | Meaning |
|---|
| ✓ | Included or fully supported |
| ✗ | Not available |
| Manual | You configure and operate it yourself |
| Contact sales | Available via enterprise/support plans |
Best-in-class Postgres 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 PostgreSQL connector | ✓ | ✓ | Manual |
| Source S3 connector | ✓ | ✗ | ✗ |
| Source Apache Kafka connector | ✓ | ✗ | ✗ |
| Tiger Cloud Iceberg connector (destination to Iceberg-backed S3 Tables) | ✓ | ✗ | ✗ |
| 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 |
|---|
| Native compression (up to 98% storage savings) | ✓ | ✓ | ✓ |
| Columnar storage format with fast scans | ✓ | ✓ | ✓ |
| 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 | ✓ | ✓ | ✓ |
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 | ✓ | ✓ | ✗ |
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 & restore | ✓ | ✗ | ✗ |
| Point-in-time recovery and forking | ✓ | ✓ | 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 | ✓ | ✓ | ✗ |
| VPC peering | ✓ | ✗ | ✗ |
| AWS Transit Gateway | ✓ | ✗ | ✗ |
| 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 | ✓ | ✓ | ✗ |
| AWS CloudWatch exporter | ✓ | ✗ | ✗ |
| Prometheus exporter | ✓ | ✓ | ✗ |
| Datadog exporter | ✓ | ✓ | ✗ |
| Azure Monitor exporter | ✗ | ✓ | ✗ |
| Connection monitoring | ✓ | ✓ | Manual |
| Connection 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 connectors (S3, Kafka, Iceberg), VPC peering, and metric exporters to CloudWatch, Prometheus, and Datadog.
- Tiger Cloud on Azure: Same core database and management features with Prometheus, Datadog, and Azure Monitor exporters; some AWS-specific integrations (e.g. S3/Kafka connectors, VPC peering, CloudWatch) are not available.
- Self-hosted TimescaleDB: Full SQL and time-series capabilities; you manage backups, HA, scaling, and observability yourself. Enterprise support and managed options are available via contacting sales.
