Timescale Cloud vs. InfluxDB Cloud Dedicated:

    How Does Timescale Cloud Stack Up?

    Not getting the performance, ease of use, or dedicated support you need from your time-series database? Spending too many hours configuring it, away from your core focus of building and scaling your solution?

    Whether you’re building real-time applications, IoT/IIoT platforms, or analyzing metrics from a massive fleet of devices, you want to ensure your application’s engine can deliver maximum speed, scalability, and reliability.

    “We cut the cost by a factor of 5 when we transitioned [from InfluxDB] to Timescale, even without enabling compression.”

    - Alireza Shafae, CTO and Co-founder, Skylab

    Timescale Cloud

    Technical debt with InfluxDB Cloud vs. 20x faster ingestion and 2000x faster queries with Timescale

    Database management without the pain

    • Unique hybrid row/columnar storage engine (Hypercore)
    • Handles heavy lifting by automatically shifting data between row and compressed columnar formats based on your workload
    • Eliminates pain of managing multiple systems
    Database management without the pain

    Compression without the compromise

    • Timescale reduces disk consumption (with compression enabled) by over 90% compared to PostgreSQL
    • Adaptive, space-saving data compression for longer-term storage without performance loss
    • Cloud-native decoupled compute/storage architecture to enable savings and control over storage costs
    Compression without the compromise

    Stable battle-tested Postgres foundation

    • Robust platform with consistent roadmap
    • No risk of product deprecation
    • Strong community and resources to support your app’s evolution
    • 100% Postgres so you can rely on existing tooling and ecosystem
    • Integrate time-series data with relational data for a simpler stack
    Stable battle-tested Postgres foundation

    Today's PostgreSQL ecosystem

    AI capabilities right in your cloud time-series database

    • Time-series, relational, and vector data in one place
    • Build more applications with a simpler stack and unlock large-scale, high-performance AI use cases
    • Postgres extended for AI through open source extensions
    • Optimized hybrid time-based vector search (queries combining vector search with rich SQL filtering)
    AI capabilities right in your cloud time-series database

    Top-notch cloud support you can rely on

    • Cloud Basic Support (always included at no extra cost)
    • Cloud Production Support (annual subscription)
    • Distinct packages for your distinct support needs
    Top-notch cloud support you can rely on

    Cloud Time-Series Database Comparison:

    Timescale Cloud and
    InfluxDB Cloud Dedicated

    InfluxDB
    Cloud

    Database Engine

    PostgreSQL extension with Hypercore, hybrid row/columnar real-time analytics engine

    Specialized database with columnar-only custom time-series engine

    Query Language

    SQL (full PostgreSQL support)

    InfluxQL and SQL (DataFusion SQL variant using FlightSQL as transport)

    Data Model

    Relational

    Tag-based

    Retention Policies

    Yes (customizable with SQL and TimescaleDB)

    Yes (native retention policies per series)

    Built-in Visualization

    Yes (PopSQL)

    Yes (InfluxDB UI)

    Geo-spatial Support

    Yes (via PostGIS)

    Limited

    Multi-Cloud Availability

    AWS, Managed Service for TimescaleDB (MST) on GCP and Azure

    AWS, GCP, Azure

    Data Ingestion Rate

    High-speed ingest with Hypercore engine

    Optimized for high write throughput

    Data Compression

    Yes (adaptive, space-saving compression)

    Yes (custom compression tiers)

    High-Cardinality Support

    Yes

    Yes

    Integrations

    Full PostgreSQL ecosystem support

    Telegraf ecosystem with thousands of plugins

    Time-Series Optimization

    Hypertables, Continuous Aggregates

    Sharding, TSI indexing

    Downsampling and Gap-Filling

    Yes (native in SQL)

    Yes (using Quix Streams and client libraries)

    Backup & Restore

    PostgreSQL backup and recovery options

    Managed backups with point-in-time restore

    AI-specific Capability

    Open source extensions pgvector, pgvectorscale, pgai

    None

    Community & Ecosystem

    Large (leverages PostgreSQL ecosystem)

    Strong open-source community, rich plugin support

    Security & Compliance

    SOC2 Type II and GDPR compliance, data encryption at rest and in motion, VPC peering for your Amazon VPC, secure backups, multi-factor authentication

    SAML, SSO, configurable for GDPR compliance, SOC 2 certified, OAuth

    Pricing Model

    Pay-as-you-go, pricing by storage and compute

    Varies based on total CPU/RAM and storage in the configuration

    Looking to explore or switch to Timescale for your use case?

    We’ve empowered hundreds of thousands of developers across industries—including IoT, crypto, finance, developer tools, SaaS, and more—to use Postgres for their most critical applications. Postgres’ universal acceptance ensures immediate productivity.

    Whether you’re looking for product stability, migration guidance, time-based vector search, or simply a Support team you can count on, Timescale can help.