diff --git a/about/feature-comparison.md b/about/feature-comparison.md new file mode 100644 index 0000000000..c7a5d83b15 --- /dev/null +++ b/about/feature-comparison.md @@ -0,0 +1,96 @@ +--- +title: Compare the features in TigerData products +excerpt: Get an overview of features available in Tiger Cloud vs self-hosted TimescaleDB +products: [cloud, self_hosted] +keywords: [TimescaleDB, Tiger Cloud] +--- + +# Compare the features in $COMPANY products + +The following table compares the features available in $CLOUD_LONG and self-hosted $TDB_COMMUNITY. + +| Feature | $CLOUD_LONG on AWS | $CLOUD_LONG on Azure | $TIMESCALE_DB | +|---------------------------------------------------------------------------------------------------------------------|-------------------------------------------|-------------------------------------|------------------------------| +| **Best-in-сlass $PG performance** | | | | +| 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 | ✓ | ✓ | ✓ | +| $PG_CONNECTOR_CAP | ✓ | ✓ | Manual | +| $S3_CONNECTOR_CAP | ✓ | ✗ | ✗ | +| Source Apache Kafka connector | ✓ | ✗ | ✗ | +| $LAKE_LONG destination connector from $CLOUD_LONG to Iceberg-backed S3 Tables | ✓ | ✗ | ✗ | +| In-Console CSV, Parquet, and text file imports | ✓ | ✗ | ✗ | +| **Flexible analysis with full SQL** | | | | +| Complete $PG ecosystem including all $PG features, connectors, and third-party drivers | ✓ | ✓ | ✓ | +| Cross-table JOINs for time-series and events tables with relational tables | ✓ | ✓ | ✓ | +| Rich timestamp and timezone support | ✓ | ✓ | ✓ | +| Flexible time-bucketing for time-oriented analysis | ✓ | ✓ | ✓ | +| Advanced hyperfunctions including interpolation, approximation, and visualization functions | ✓ | ✓ | ✓ | +| Geospatial and vector data types | ✓ | ✓ | ✓ | +| **Automated data management** | | | | +| 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** | | | | +| 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 on S3 | ✓ | ✗ | ✗ | +| 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** | | | | +| Multi-AZ deployments for high availability | ✓ | ✓ | Manual | +| Continuous incremental backup and automated restore | ✓ | ✓ | Manual | +| Cross-region backup | ✓ | 🔜 | ✗ | +| Point-in-time recovery and branching | ✓ | ✓ | Manual | +| Regular database and disk snapshots to enable fast restore | ✓ | ✓ | ✗ | +| Rapid recovery for all services by fast database restart and remote disk remount | ✓ | ✓ | ✗ | +| Memory guard protections to avoid database out-of-memory crashes | ✓ | ✓ | ✗ | +| Decoupled control/data planes for greater resilience | ✓ | ✓ | ✗ | +| Commercial SLAs | ✓ | ✓ | ✗ | +| **Automated upgrades and software patching** | | | | +| Automated upgrades during maintenance windows | ✓ | ✓ | ✗ | +| Phased, zero-downtime $TIMESCALE_DB and $PG minor upgrades | ✓ | ✓ | ✗ | +| $PG major version upgrades with forking workflow and disk snapshots to minimize downtime | ✓ | ✓ | ✗ | +| HA-replica-aware coordinated upgrades | ✓ | ✓ | ✗ | +| Fleet-wide version and stability monitoring with staged roll-out/roll-back upgrades | ✓ | ✓ | ✗ | +| **Security and compliance** | | | | +| SOC 2 Type 2, GDPR, HIPAA certified compliance | ✓ | ✓ | ✗ | +| Data encryption at rest (both 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 | ✓ | ✗ | ✗ | +| Layered database "privilege escalation" protections | ✓ | ✓ | ✗ | +| Secure SDLC practices and vulnerability scanning, third-party pen testing | ✓ | ✓ | ✗ | +| **Deep observability** | | | | +| Operational database visibility to understand performance, uncover regressions, optimize performance | ✓ | ✓ | ✗ | +| Automated query analysis and statistics | ✓ | ✓ | ✗ | +| Per-query drill-downs into execution times, row results, plans, memory buffer management, cache performance | ✓ | ✓ | ✗ | +| In-Console metric visualization and system logs | ✓ | ✓ | ✗ | +| Native metrics and log exporters to AWS CloudWatch, Prometheus, DataDog | ✓ | ✗ | ✗ | +| Connection monitoring | ✓ | ✓ | Manual | +| Connection management | ✓ | ✓ | Manual | +| **Production-grade support and operations** | | | | +| 24/7 follow-the-sun support with global support team across APAC, EMEA, and Americas | ✓ | ✓ | [Contact sales](mailto:sales@tigerdata.com) | +| Production support (severity 1) | ✓ | ✓ | [Contact sales](mailto:sales@tigerdata.com) | +| Architectural reviews, data modeling, and query optimization and assistance, feature testing, and migration support | ✓ | ✓ | [Contact sales](mailto:sales@tigerdata.com) | +| 24/7 operational monitoring and control | ✓ | ✓ | [Contact sales](mailto:sales@tigerdata.com) | +| 98%+ customer satisfaction (CSAT scores) | ✓ | ✓ | [Contact sales](mailto:sales@tigerdata.com) | + diff --git a/about/page-index/page-index.js b/about/page-index/page-index.js index aa8918f06c..eb8e471089 100644 --- a/about/page-index/page-index.js +++ b/about/page-index/page-index.js @@ -6,7 +6,7 @@ module.exports = [ filePath: "index.md", pageComponents: ["featured-cards"], excerpt: - "Additional information about TigerData, including how to contribute, and release notes", + "Additional information about TigerData products, their features, and supported platforms", children: [ { title: "TigerData architecture for real-time analytics", @@ -19,10 +19,15 @@ module.exports = [ href: "pricing-and-account-management", excerpt: "Pricing plans for Tiger services", }, + { + title: "Feature comparison", + href: "feature-comparison", + excerpt: "Feature comparison for Tiger Cloud and self-hosted TimescaleDB.", + }, { title: "Changelog", href: "changelog", - excerpt: "A summary of the latest changes to all TigerData products.", + excerpt: "A summary of the latest changes to Tiger.", }, { title: "TimescaleDB editions",