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Databases · head to head

DataStax vs Preset

DataStax logo

DataStax

Databases

The real-time data company for AI applications

From
Free
Rated
-
Full reviewWebsite
Preset logo

Preset

Business Intelligence

Managed Apache Superset

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier; Preset limited SQL IDE advanced features compared to specialized query tools
  • They diverge on capability: DataStax covers Cassandra Compatible, Preset covers Managed Superset.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DataStax and Preset actually diverge.

Attributes where DataStax and Preset differ
AttributeDataStaxPreset
Pricing modelfreemiumUnknown
PlatformsWeb, Aws, Azure, GcpWeb, Cloud
CategoryDatabasesBusiness Intelligence
Founded20102019

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 DataStax

  • Cassandra Compatible
  • Vector Search
  • Serverless
  • Multi-cloud
  • Streaming
  • CDC
  • GraphQL API
  • LangChain

Only in Preset

  • Managed Superset
  • Auto-scaling
  • Enterprise Security
  • Custom Branding
  • API Access
  • Snowflake
  • BigQuery
  • Redshift

Both cover

  • Web support

What people use each for

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

DataStax

  • Real-time applicationsnot Preset
  • Content managementnot Preset
  • User profilesnot Preset
  • Mobile backendsnot Preset
  • Cachingnot Preset

Preset

  • Self-service analyticsnot DataStax
  • Data explorationnot DataStax
  • Ad-hoc reportingnot DataStax
  • Collaborative analysisnot DataStax
  • Embedded analyticsnot DataStax

Where each one falls short

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

DataStax

  • DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
  • DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site

Preset

  • Limited SQL IDE advanced features compared to specialized query tools
  • Viewer licenses add substantial cost for embedded analytics deployments
  • Dataset-centric approach requires preprocessing by data teams for some use cases

Pricing, plan by plan

DataStax

Free
  • FreeFree
    • 5GB storage
    • 40M read/write ops
    • Vector search
  • Pay As You GoFree
    • Usage-based pricing
    • Multi-region
    • Enterprise support

Preset

Free

No published plan breakdown. See the Preset review.

Which should you pick?

Choose DataStax if

  • You need cassandra compatible.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want vector search.
DataStax review

Choose Preset if

  • You need managed superset.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want auto-scaling.
Preset review

Questions people ask

Is DataStax or Preset better?
Neither clearly leads. DataStax starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataStax or Preset?
DataStax starts at Free and Preset at Free.
Does DataStax or Preset run on more platforms?
DataStax runs on Web, Aws, Azure, Gcp. Preset runs on Web, Cloud.
Can I use DataStax for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataStax best used for?
DataStax is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Preset is typically brought in for.
What can DataStax do that Preset cannot?
DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. Both handle Web support.

Answered from the vendors’ own pages

DataStax: Is DataStax available as a managed service?

Yes, DataStax is available as Astra DB, a managed database service. Users can sign up for Astra DB directly to create accounts and access the platform.

Source
Preset: Is Preset free?

Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.

Source
DataStax: How is DataStax priced?

DataStax (now part of IBM) does not publish pricing on its documentation homepage. Pricing information would need to be obtained through the Astra DB signup page or by contacting IBM directly.

Source
Preset: Can I export my data from Preset?

Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.

Source
DataStax: Is there an enterprise licensing option?

DataStax is now part of IBM. Enterprise customers should contact IBM directly for licensing agreements and enterprise-specific pricing.

Source
Preset: Does Preset include embedded analytics?

Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.

Source
DataStax: Can I try DataStax without an account?

To use DataStax Astra DB, account creation is required. The documentation does not mention a free trial or demonstration environment that does not require signup.

Source
Preset: What is the enterprise pricing for Preset?

Enterprise plans are custom quoted. The median buyer pays $35,495 per year.

Source
Preset: Does Preset support AI-powered analytics?

Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.

Source
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