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DataStax Enterprise vs Comet ML Comparison

Last updated:

DataStax Enterprise

4.3(15 reviews)

Starting at Contact for pricing

  • Free Trial
  • Large Enterprises

DataStax Enterprise provides businesses with strong active-everywhere capabilities, 365 days a year uptime, and scale-out data infrastructure. Boasting advanced data management features such as Apache Cassandra-compatibl…

Comet ML

4.4(245 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Comet ML is an MLOps platform for tracking, comparing, explaining, and optimizing machine learning experiments. Data scientists and ML engineers use Comet to log training runs — capturing model parameters, metrics, code,…

Comet ML leads on user satisfaction with a 4.4-star rating across 245 reviews.

DataStax Enterprise vs Comet ML — at a glance

FeatureDataStax EnterpriseComet ML
Rating4.3 / 54.4 / 5
Reviews15245
Starting priceContact for pricingFree free
Free trial Yes No
Free version No No
Best forLarge EnterprisesSmall Business, Mid-Market, Enterprise
CategoryDatabase as a Service (DBaaS) ProviderMLOps Platforms
PlatformsSaaS/Web/Cloud, Installed - Windows, Installed - MacCloud, On-Premise
APIAvailableAvailable
Support modesOnlineHelp Center, Email Support, Slack Community, Enterprise Support
CertificationsSOC 2
Data residencyGlobal

Key differences between DataStax Enterprise and Comet ML

  • Pricing: Comet ML starts at Free free. DataStax Enterprise pricing is not publicly listed.
  • Free trial: DataStax Enterprise offers a free trial; Comet ML does not.
  • Target audience: DataStax Enterprise is built for Large Enterprises, while Comet ML targets Small Business and Mid-Market.
  • User satisfaction: Comet ML scores higher with a 4.4-star average.
  • Deployment: DataStax Enterprise supports SaaS/Web/Cloud, Installed - Windows, Installed - Mac; Comet ML supports Cloud, On-Premise.

DataStax Enterprise vs Comet ML — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Database as a Service (DBaaS) Provider tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

DataStax Enterprise - New SaaS Software
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Biggest differences

Start here before you go deeper into features.

DataStax Enterprise

Best for

Large Enterprises

Comet ML

Best for

Small Business, Mid-Market, Enterprise

DataStax Enterprise typically suits Large Enterprises. Comet ML tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

DataStax Enterprise provides businesses with strong active-everywhere capabilities, 365 days a year uptime, and scale-out data infrastructure. Boasting advanced data management features ... Read More about DataStax Enterprise

Comet ML is an MLOps platform for tracking, comparing, explaining, and optimizing machine learning experiments. Data scientists and ML engineers use Comet to log training runs — capturing ... Read More about Comet ML

Entry Level Pricing

  • Not Available
  • Starts from Free

Free Trial Availability

  • Free Trial available
  • No free trial

SpotScore

What's this? ↗

Not Available

8.8/10

User Ratings

Based on verified Spotsaas reviews

4.27

(15)
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Comet ML

  • Never Lose a Good Experiment: Every training run is automatically logged with parameters, metrics, code, and environment — compare any two experiments weeks later without notes.
  • Understand What Actually Improved Performance: Side-by-side experiment comparison with metric charts and diff views identifies exactly which parameter changes drove improvements.
  • Model Governance at Scale: Centralized model registry with version history, approval workflows, and deployment tracking — essential for teams shipping multiple models to production.
Best fit

Best fit

Comet ML

  • Data science teams tracking hyperparameter tuning experiments to find optimal model configurations systematically
  • ML engineering teams managing model versions from experiment through staging to production in a centralized registry
  • Research teams ensuring experiment reproducibility by capturing full environment and code state alongside results

Software Demo

Demo

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Step 1 of 4

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How do DataStax Enterprise and Comet ML Compare on Features?

Total Features

11 Features

6 Features

Unique Features

No unique features

No unique features

Get Quote
Get Quote

Compare DataStax Enterprise and Comet ML on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Not Available
      • Free

      Pricing Plans

      • Not Available
      • Individual

        Free

        • Unlimited experiments

        • Community support

        • Core features

      • Team

        $179

        paid

        • Collaboration features

        • Model registry

        • Priority support

      • Enterprise

        Custom

        paid

        • On-premise

        • SSO

        • SLA

        Show more +

      Other Details

      Organization Types supported

          Platforms Supported

              Modes of support

              • 24/7 (Live rep)
              • Business Hours
              • Online
              • 24/7 (Live rep)
              • Business Hours
              • Online

              API Support

              • Available
              • Available
              Get help choosing
              Get help choosing

              Security & Compliance

              Certifications, data handling, and security controls for IT and compliance evaluators.

              SOC 2

              ✓ Yes

              HIPAA

              ✗ No

              Single Sign-On (SSO)

              ✓ Yes

              Multi-Factor Auth (MFA)

              ✓ Yes

              Data Encryption

              ✓ Yes

              Audit Logs

              ✓ Yes

              Data Residency

              🌐 Global

              DataStax Enterprise User Reviews & Rating Comparison

              User Ratings

              4.4

              (based on 245 reviews)

              Rating Distribution

              20

              3

              2

              0

              0

              0

              0

              0

              0

              0

              Spotsaas Editor’s POV generated by AI

              Buyer sentiment

              Buyer sentiment is positive across 25 reviews, with strong overall satisfaction.

              What buyers like

              • Delivers a best-in-class Apache Cassandra distribution with high availability and horizontal scalability.
              • Strong performance handling large datasets, well-suited to demanding enterprise use cases.
              • Provides drivers, SDKs, and APIs for nearly any language, plus integration with Solr and Spark.

              Common complaints

              • Cassandra itself is hard to install and maintain, and DSE carries high maintenance overhead.
              • Some reviewers note it is a complex product that demands significant operational effort.

              Buyer sentiment

              Buyer sentiment is positive across 245 reviews, with strong overall satisfaction.

              What buyers like

              • Unlimited free experiments for individual users — one of the most generous free tiers in MLOps, covering solo data scientists and researchers completely.
              • Automatic code and environment capture alongside metrics makes experiments truly reproducible without manual documentation effort.
              • Native LLM evaluation via Opik extends beyond traditional ML to cover the modern LLM workflow, making it a single platform for both classical ML and LLM teams.

              Common complaints

              • UI can feel dated compared to newer entrants like W&B — the experiment comparison and visualization experience is functional but not as polished.
              • Team pricing jumps significantly from free to $179/month, making it expensive for small teams who have outgrown the individual tier but do not need full enterprise.

              Pros and Cons

              • Delivers a best-in-class Apache Cassandra distribution with high availability and horizontal scalability.

              • Strong performance handling large datasets, well-suited to demanding enterprise use cases.

              • Provides drivers, SDKs, and APIs for nearly any language, plus integration with Solr and Spark.

              • Cassandra itself is hard to install and maintain, and DSE carries high maintenance overhead.

              • Some reviewers note it is a complex product that demands significant operational effort.

              • Unlimited free experiments for individual users — one of the most generous free tiers in MLOps, covering solo data scientists and researchers completely.

              • Automatic code and environment capture alongside metrics makes experiments truly reproducible without manual documentation effort.

              • Native LLM evaluation via Opik extends beyond traditional ML to cover the modern LLM workflow, making it a single platform for both classical ML and LLM teams.

              • UI can feel dated compared to newer entrants like W&B — the experiment comparison and visualization experience is functional but not as polished.

              • Team pricing jumps significantly from free to $179/month, making it expensive for small teams who have outgrown the individual tier but do not need full enterprise.

              Positive Reviews

              No reviews available for the product

              No reviews available for the product

              Used DataStax Enterprise or Comet ML? Tell buyers what actually differs.

              List of Customers

              Customers

              Capital One

              Capital One

              Equinix

              Equinix

              No Customers information available.

              Media and Screenshots

              Videos

              video-0

              3 Videos

              No videos available.

              Top Alternatives to DataStax Enterprise and Comet ML in 2026

              Alternatives

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              Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

              Frequently asked questions

              Which is better, DataStax Enterprise or Comet ML?
              Comet ML edges out the other on user ratings (4.4 vs 4.3). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
              Do DataStax Enterprise and Comet ML offer a free trial?
              DataStax Enterprise offers a free trial. Comet ML does not.
              What is the starting price of DataStax Enterprise vs Comet ML?
              DataStax Enterprise starts at Contact for pricing. Comet ML starts at Free free.
              What are the top alternatives to DataStax Enterprise?
              Top alternatives to DataStax Enterprise include Qubole, Qualified, Datascale, Workvivo, BigDataCloud.