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Cortex vs SingleStore

Cortex logo

Cortex

Developer Tools

Internal developer portal that scores service ownership and maturity rather than just cataloguing services

From
On request
Free plan
No
Visit CortexFull review
SingleStore logo

SingleStore

Databases

The real-time distributed SQL database for data-intensive applications

From
Free
Free plan
Yes
Visit SingleStoreFull review

The short version

  • SingleStore starts at $0.99/mo; Cortex prices on request.
  • Only Cortex lists service catalogue; only SingleStore lists real-time Analytics.
  • Where SingleStore falls short: high licensing costs that increase with data scale and cluster size.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cortex and SingleStore actually diverge.

Attributes where Cortex and SingleStore differ
AttributeCortexSingleStore
Starting priceOn requestFree
Free tierNoYes
PlatformsWeb, APIWeb, Self-Managed
CategoryDeveloper ToolsDatabases

Not yet recorded: pricing model for SingleStore, founded for Cortex.

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 Cortex

  • Service catalogue
  • Scorecards
  • Initiatives
  • Self-service templates
  • Query language
  • Eng intelligence
  • Integrations layer
  • On-call and ownership mapping

Only in SingleStore

  • Real-time Analytics
  • Fast Data Ingest
  • In-memory Processing
  • Distributed Architecture
  • MySQL Compatible
  • Columnar Storage
  • Vector Search
  • Kafka

What people use each for

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

Cortex

  • A platform team that needs to prove to leadership how far a Kubernetes or framework migration has actually progressed across hundreds of servicesnot SingleStore
  • An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot SingleStore
  • Enforcing production readiness standards on new services at creation time rather than at incident reviewnot SingleStore
  • Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot SingleStore

SingleStore

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

Where each one falls short

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

Cortex

  • Pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first
  • The catalogue is only as accurate as the metadata you supply, so an organisation with inconsistent repository conventions spends its first quarter cleaning data before any scorecard means anything
  • Scorecards create political friction: publishing a per-team grade turns an engineering standard into a performance metric, and teams will game the rules rather than fix the underlying issue
  • It is closed source and hosted, so organisations with strict data residency or air-gap requirements have limited options compared with running Backstage themselves
  • Value scales with organisation size, so a company with fifty engineers and thirty services will find the catalogue tells them nothing they did not already know while still paying an enterprise contract

SingleStore

  • High licensing costs that increase with data scale and cluster size
  • Eventual consistency in replication: secondary replicas may lag during high write loads
  • Complex operational setup requiring specialized knowledge for optimization
  • Vendor lock-in due to proprietary technology without open-source alternatives
  • Disorganized documentation and lack of online training resources

Pricing, plan by plan

Cortex

On request
  • CortexOn request
    • Service catalogue and ownership mapping
    • Scorecards and initiatives
    • Self-service templates

SingleStore

Free
  • Free Tier$0.99/mo
    • Usage-based pricing
    • Limited resources

Which should you pick?

Choose Cortex if

  • You need service catalogue.
  • You work on Web, API.
  • You also want scorecards.
Cortex review

Choose SingleStore if

  • You need real-time analytics.
  • You want to start without paying.
  • You work on Web, Self-Managed.
  • You also want fast data ingest.
SingleStore review

Questions people ask

Is Cortex or SingleStore better?
Neither clearly leads. Cortex starts at On request and SingleStore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cortex or SingleStore?
SingleStore has a free tier; the other does not. Paid plans start at On request for Cortex and Free for SingleStore.
Does Cortex or SingleStore run on more platforms?
Cortex runs on Web, API. SingleStore runs on Web, Self-Managed.
Can I use SingleStore for free?
Yes. SingleStore has a free tier, so you can try it without paying. Cortex starts at On request.
What is Cortex best used for?
Cortex is most often used for a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services, an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions, enforcing production readiness standards on new services at creation time rather than at incident review, replacing a self-hosted backstage that is consuming a full-time engineer or two just to stay upgraded. Of those, a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services and an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions are not what SingleStore is typically brought in for.
What can Cortex do that SingleStore cannot?
Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture.

Answered from the vendors’ own pages

Cortex: How is Cortex different from Backstage?

Backstage is an open source framework you build and staff. Cortex is a hosted product with scorecards and initiatives out of the box and no platform team required to keep it running.

SingleStore: Does SingleStore offer a free tier?

Yes, SingleStore offers a free tier starting from $0.99/month with usage-based pricing. The free tier allows developers to evaluate the platform with limited resources before scaling to production workloads.

Source
Cortex: Is pricing published?

No. Cortex requires a sales conversation and prepares a custom proposal.

SingleStore: Can SingleStore handle both transactional and analytical workloads?

Yes, SingleStore is a hybrid transactional/analytical processing (HTAP) database that combines operational (OLTP) and analytical (OLAP) workloads in a single unified engine, eliminating the need for separate systems.

Source
Cortex: Can it self-host?

It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.

SingleStore: Does SingleStore integrate with Apache Spark?

Yes, SingleStore provides the Spark Connector 3.0 for bidirectional data integration with Apache Spark. The connector supports SQL, Python, Scala, Java, and R for data loading and extraction.

Source
Cortex: What is the main adoption risk?

Bad or missing service metadata. The catalogue and every scorecard on top of it inherit whatever quality your repositories already have.

SingleStore: Can SingleStore ingest data from Kafka?

Yes, SingleStore supports high-throughput streaming ingestion from Apache Kafka and other sources, enabling millions of events per second without requiring ETL pipelines or data movement.

Source
SingleStore: Is SingleStore available as cloud or self-managed?

SingleStore offers both deployment options: SingleStoreDB Cloud (managed service) and SingleStore Self-Managed for on-premises or private cloud deployments. The managed service handles infrastructure, scaling, and maintenance automatically.

Source
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