TigerData logo
TigerData logo
  • Product

    Product

    Tiger Cloud

    Robust elastic cloud platform for startups and enterprises

    TimescaleDB Enterprise

    Self-managed TimescaleDB for on-prem, edge and private cloud

    Open source

    TimescaleDB

    Time-series, real-time analytics and events on Postgres

    Search

    Vector and keyword search on Postgres

  • Industry

    Data Centers

    Energy & Utilities

    Oil & Gas Operations

    Smart Manufacturing

    Crypto

  • Docs
  • Pricing
  • Developer Hub

    Changelog

    Benchmarks

    Blog

    Community

    Customer Stories

    Events

    Support

    Integrations

    Launch Hub

  • Company

    About

    TigerData logo

    Timescale

    Partners

    Security

    Careers

Contact usStart a free trial
Tiger Data

Products

  • TimescaleDB
  • Tiger Cloud
  • TimescaleDB Enterprise
  • Postgres Search Stack

Industry

  • Data Centers
  • Energy & Utilities
  • Oil & Gas Operations
  • Smart Manufacturing
  • Crypto

Support

  • Cloud Status
  • Support
  • Security
  • Terms of Service
  • Code Of Conduct

Learn

  • Documentation
  • Blog
  • Tutorials
  • Changelog
  • Success Stories

Company

  • About
  • Contact Us
  • Careers
  • Newsroom
  • Brand
  • Events

Products

  • TimescaleDB
  • Tiger Cloud
  • TimescaleDB Enterprise
  • Postgres Search Stack

Industry

  • Data Centers
  • Energy & Utilities
  • Oil & Gas Operations
  • Smart Manufacturing
  • Crypto

Support

  • Cloud Status
  • Support
  • Security
  • Terms of Service
  • Code Of Conduct

Learn

  • Documentation
  • Blog
  • Tutorials
  • Changelog
  • Success Stories

Company

  • About
  • Contact Us
  • Careers
  • Newsroom
  • Brand
  • Events
Privacy preferencesLegalPrivacySitemap

Subscribe to the Tiger Data newsletter

Gold Partner with Inductive Automation — Ignition

2026 (c) Timescale, Inc., d/b/a Tiger Data.
All rights reserved.

Tiger Data
GOLD PARTNER WITHINDUCTIVE AUTOMATION

2026 (c) Timescale, Inc., d/b/a Tiger Data.
All rights reserved.

Privacy preferencesLegalPrivacySitemap

Postgres That Scales With You: Read Replica Sets and Enhanced Storage

Rahil Sondhi

By Rahil Sondhi

June 3rd, 2025

3 min

Share

Rahil Sondhi

By Rahil Sondhi

June 3rd, 2025

3 min

Share

Copy as HTML

Open in ChatGPT

Open in Claude

Open in v0

Announcements & Releases

TimescaleDB

PostgreSQL

Table of contents

  1. 01 Read Replica Sets: Reliable Horizontal Scaling
  2. 02 How to Use Read Replica Sets: An Example
  3. 03 Enhanced Storage: 64 TB Storage & 32,000 IOPS
  4. 04 Built for the Future of Your Application
  5. 05 How to Get Started
Get started for free
Postgres That Scales With You: Read Replica Sets and Enhanced Storage

Yesterday, we covered how TimescaleDB 2.20 continues to deliver on our vision of building the fastest Postgres. Continuing on that theme, today we explore how read replicas and enhanced storage enable scaling for modern applications.

Traditional database solutions often struggle in key scenarios:

  • Financial services: Millisecond delays in trading or payments due to conflicting analytical and transactional loads.
  • IoT and telemetry: Massive sensor data overwhelms traditional setups, causing manual partitioning headaches and delayed insights.
  • E-commerce: Traffic spikes during peak events slow performance, impacting user experience and revenue.

At Timescale, we believe developers shouldn't have to choose between performance and simplicity. Your database should scale seamlessly with your needs.

That's why we're launching two new features:

  • Rapid scaling with read replica sets.
  • Enhanced storage capabilities up to 64 TB and 32,000 IOPS per replica.

With these enhancements, Timescale Cloud empowers users to scale horizontally and vertically, delivering exceptional performance, throughput, and operational simplicity.

Read Replica Sets: Reliable Horizontal Scaling

Modern applications are read-heavy, but scaling reads typically means dealing with manual setups, custom routing logic, and constant tuning.

Read replica sets simplify this. Point your application to a single, load-balanced endpoint and let the system automatically distribute read queries across multiple replicas—no app changes required. Using PostgreSQL’s native streaming replication, replicas stay continuously updated without slowing down your primary node.

Benefits for developers:

  • Automatic horizontal scaling of read traffic
  • Zero custom logic or orchestration required
  • Improved concurrency and performance under growing loads

How to Use Read Replica Sets: An Example

Read replica sets offer a powerful, flexible solution for managing read-heavy workloads. You can create multiple sets, each tailored to a specific need. For instance, dedicate one set with several replicas to handle high-volume read traffic from your production application, ensuring responsiveness. 

Create a separate set for your internal analytics team to isolate their ad-hoc queries and dashboarding activities, preventing impact on production performance.

By directing read traffic to the replica set and write traffic to the primary node, you achieve a clear separation of concerns. This architecture enhances scalability. As your read load fluctuates, you can easily add or remove replica nodes within a set via the Timescale console, adjusting capacity without disrupting your application or requiring manual changes. This consolidation behind a single, load-balanced endpoint simplifies your architecture while scaling read throughput.

image

Existing read replicas have been automatically upgraded to read replica sets with one node. Price remains the same.

Enhanced Storage: 64 TB Storage & 32,000 IOPS 

But there’s more. For customers with growing datasets and demanding analytical workloads, the previous 16 TB storage ceiling was becoming a constraint. That’s changing.

We're launching a new storage type called enhanced storage, powered by AWS EBS io2 volumes. This new type increases both storage capacity and throughput, making it ideal for customers with mission-critical workloads.

You can now scale your Timescale Cloud service:

  • Up to 64 TB of storage per database service
  • Up to 32,000 IOPS, enabling high-throughput ingest and low-latency analytics

You can switch to enhanced storage in the console without any downtime. This new storage type will initially be available to Enterprise customers and is part of our broader investment in serving high-scale, mission-critical applications.

This is a major step forward for demanding workloads with high ingestion rates, large query volumes, and complex analytics, such as financial data pipelines, IoT platforms, and telemetry processing.

Built for the Future of Your Application

These two new features are part of our broader vision: to make Timescale Cloud the most powerful and developer-friendly database for demanding applications.

With read replica sets and enhanced storage, Timescale Cloud delivers the speed and scalability needed for the most demanding workloads, while preserving the simplicity and power of Postgres.

How to Get Started

  • Want to try read replica sets? Scale and Enterprise customers can set up read replica sets by logging in to the Timescale console > Operations > Read Scaling. Review our read replica sets documentation for implementation details.
  • Need to break past the 16 TB barrier or boost IOPS up to 32,000? Enterprise users can switch to enhanced storage by logging in to the Timescale console > Operations > Compute & Storage.

Next up: database observability simplified with Timescale Cloud. 

// Related posts

TimescaleDB 2.27: Broader Vectorized Execution, Up to 160x More Efficient UPDATE/DELETE, and Smarter UPSERT Pruning
TimescaleDB 2.27: Broader Vectorized Execution, Up to 160x More Efficient UPDATE/DELETE, and Smarter UPSERT Pruning

Announcements & Releases

TimescaleDB

TimescaleDB 2.27: Broader Vectorized Execution, Up to 160x More Efficient UPDATE/DELETE, and Smarter UPSERT Pruning

Up to 160x more efficient UPDATE/DELETE, 30% to 2x faster vectorized execution, and skip unnecessary decompression + compression. Here's what's new in TimescaleDB 2.27.

By Brandon Purcell

June 9th, 2026

TimescaleDB 2.26: 3.5x Faster time_bucket() Aggregations, 70x Faster Summary Queries, and Faster Multi-Column Lookups
TimescaleDB 2.26: 3.5x Faster time_bucket() Aggregations, 70x Faster Summary Queries, and Faster Multi-Column Lookups

Announcements & Releases

TimescaleDB

TimescaleDB 2.26: 3.5x Faster time_bucket() Aggregations, 70x Faster Summary Queries, and Faster Multi-Column Lookups

TimescaleDB 2.26 delivers 3.5x faster time_bucket() aggregations, 70x faster summary queries, and 2x faster multi-column lookups. No query rewrites needed.

By Brandon Purcell

April 22nd, 2026

pg_textsearch 1.0: How We Built a BM25 Search Engine on Postgres Pages
pg_textsearch 1.0: How We Built a BM25 Search Engine on Postgres Pages

Announcements & Releases

pg_textsearch

pg_textsearch 1.0: How We Built a BM25 Search Engine on Postgres Pages

pg_textsearch 1.0 brings native BM25 search to Postgres. No Elasticsearch sidecar needed. Learn how it works and see benchmarks vs. ParadeDB at 138M documents.

By Todd J. Green

March 31st, 2026

Stay updated with new
posts and releases.

Receive the latest technical articles and release notes in your inbox.