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Machine Learning · head to head

Ray vs SingleStore

Ray logo

Ray

Machine Learning

Scale AI and Python applications

From
Free
Rated
-
Full reviewWebsite
SingleStore logo

SingleStore

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Ray windows support is beta and multi node Ray clusters are untested on Windows; SingleStore high licensing costs that increase with data scale and cluster size
  • They diverge on capability: Ray covers Distributed computing, SingleStore covers Real-time Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Ray and SingleStore actually diverge.

Attributes where Ray and SingleStore differ
AttributeRaySingleStore
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, WindowsCloud (SingleStoreDB Cloud), Self-Managed
CategoryMachine LearningDatabases
Founded20192011

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

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 Ray

  • Distributed computing
  • Ray Train
  • Ray Tune
  • RLlib
  • Ray Serve
  • PyTorch
  • TensorFlow
  • Hugging Face

Only in SingleStore

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

Both cover

  • Linux support

What people use each for

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

Ray

  • Distributed AI model training and servingnot SingleStore
  • Large-scale data processingnot SingleStore
  • Reinforcement learning workloadsnot SingleStore
  • ML inference servingnot SingleStore

SingleStore

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

Where each one falls short

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

Ray

  • Windows support is beta and multi node Ray clusters are untested on Windows
  • Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
  • Multi node clusters are untested on Apple Silicon Macs
  • The Java API is experimental and community supported only, and requires matching Java and Python versions
  • Python 3.13 support is beta

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

Ray

Free
  • Open SourceFree
    • Full Ray framework
    • All libraries
    • Community support
  • Anyscale PlatformFree
    • Managed infrastructure
    • Enterprise support
    • SLAs

SingleStore

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

Which should you pick?

Choose Ray if

  • You need distributed computing.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want ray train.
Ray review

Choose SingleStore if

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

Questions people ask

Is Ray or SingleStore better?
Neither clearly leads. Ray starts at Free and SingleStore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ray or SingleStore?
Ray starts at Free and SingleStore at Free.
Does Ray or SingleStore run on more platforms?
Ray runs on Linux, Mac, Windows. SingleStore runs on Cloud (SingleStoreDB Cloud), Self-Managed.
Can I use Ray for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ray best used for?
Ray is most often used for distributed ai model training and serving, large-scale data processing, reinforcement learning workloads, ml inference serving. Of those, distributed ai model training and serving and large-scale data processing are not what SingleStore is typically brought in for.
What can Ray do that SingleStore cannot?
Ray covers Distributed computing, Ray Train, Ray Tune, RLlib. SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture. Both handle Linux support.

Answered from the vendors’ own pages

Ray: Is Ray free?

Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.

Source
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
Ray: Is there a paid option for Ray?

Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.

Source
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
Ray: Can I try Ray with credits?

Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.

Source
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
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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