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Databases · head to head

PostgreSQL vs Readyset

PostgreSQL logo

PostgreSQL

Databases

The world's most advanced open source relational database

From
Free
Rated
-
Readyset logo

Readyset

Databases

Database caching and optimization that reduces infrastructure costs 30-70%

From
Free
Rated
-

The short version

  • Each has a real cost: PostgreSQL requires manual scaling across multiple machines for very large deployments; Readyset pricing requires contacting sales team, making cost planning difficult
  • They diverge on capability: PostgreSQL covers ACID Compliance, Readyset covers Automatic Query Optimization.

Where they differ

Only the attributes on which PostgreSQL and Readyset actually diverge.

Attributes where PostgreSQL and Readyset differ
AttributePostgreSQLReadyset
Pricing modelUnknownMonthly or annual subscription based on cache size
PlatformsLinux, Windows, macOS, BSD, UnixCloud, Self-Hosted
Founded1996Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in PostgreSQL

  • ACID Compliance
  • JSON/JSONB Support
  • Full-text Search
  • Extensibility
  • Advanced Indexing
  • Partitioning
  • Replication
  • pgAdmin

Only in Readyset

  • Automatic Query Optimization
  • SQL-Level Caching
  • Live Incremental Updates
  • Zero-Touch Integration
  • Query Interception
  • AI Query Protection

What people use each for

The jobs each tool is most often brought in to do.

PostgreSQL

  • Transaction processingnot Readyset
  • Data storagenot Readyset
  • Application backendnot Readyset
  • Reportingnot Readyset
  • Data analyticsnot Readyset

Readyset

  • Reducing database costs for AI workloads with unpredictable query patternsnot PostgreSQL
  • Improving read performance for frequently accessed data without hardware upgradesnot PostgreSQL
  • Protecting databases from performance degradation caused by agentic queriesnot PostgreSQL
  • Scaling read-heavy applications without database scaling costsnot PostgreSQL

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

PostgreSQL

  • Requires manual scaling across multiple machines for very large deployments
  • Performance tuning requires deep knowledge of database internals
  • No built-in graphical admin interface; command-line tools are primary method

Readyset

  • Pricing requires contacting sales team, making cost planning difficult
  • Specific pricing tiers not disclosed publicly
  • Requires cache size estimation for cost calculation
  • Limited to read query caching, does not address write performance

Pricing, plan by plan

PostgreSQL

Free

No published plan breakdown. See the PostgreSQL review.

Readyset

Free
  • CommunityFree
    • Free tier for evaluation
    • 7-day trial available
  • Readyset CloudFree
    • Fully-managed AWS deployment
    • High availability
    • VPC peering support
  • Readyset PrivateFree
    • Self-hosted on your servers
    • Complete control
    • Custom deployment

Which should you pick?

Choose PostgreSQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, BSD, Unix.
  • You also want json/jsonb support.

Choose Readyset if

  • You need automatic query optimization.
  • You want to start without paying.
  • You work on Cloud, Self-Hosted.
  • You also want sql-level caching.

Questions people ask

Is PostgreSQL or Readyset better?
Neither clearly leads. PostgreSQL starts at Free and Readyset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PostgreSQL or Readyset?
PostgreSQL starts at Free and Readyset at Free.
Does PostgreSQL or Readyset run on more platforms?
PostgreSQL runs on Linux, Windows, macOS, BSD, Unix. Readyset runs on Cloud, Self-Hosted.
Can I use PostgreSQL for free?
Both have a free tier, so you can try either at no cost before committing.
What is PostgreSQL best used for?
PostgreSQL is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Readyset is typically brought in for.
What can PostgreSQL do that Readyset cannot?
PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility. Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration.

Answered from the vendors’ own pages

PostgreSQL: Is PostgreSQL completely free?

Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.

Source
Readyset: Do I need to change my application code?

No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.

Source
PostgreSQL: What platforms does PostgreSQL run on?

PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.

Source
Readyset: Is there a free trial?

Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.

Source
PostgreSQL: What procedural languages are supported?

PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.

Source
Readyset: How does Readyset pricing work?

Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.

Source
PostgreSQL: What is ACID compliance in PostgreSQL?

PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.

Source
PostgreSQL: Does PostgreSQL support JSON data?

Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.

Source
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