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ALTERNATIVE APPLICATIONS

Algorithmia Alternatives

Should you replace Algorithmia?

Azure Machine Learning is the strongest catalog alternative to evaluate for Algorithmia.

Algorithmia

Current
Seat-based Payg
0/5
Annual cost
--
Seats assigned
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This catalog view compares public market data and does not include organization spend or usage.

Algorithmia alternatives

See how Algorithmia compares to 7 alternative apps you can switch to.

Azure Mac...Best FitSeat-basedAvg. switch cost$4,200/yrAzure Machine Learning is a good fit if: your team builds production ML models and relies heavily on Microsoft Azure infrastructure.
Amazon Sa...Worth ConsideringSeat-basedAvg. switch cost$9,600/yrAmazon Sagemaker is a good fit if: your data science team is AWS-native and requires elastic scaling for large-scale model training.
Google Ve...Worth ConsideringPublic pricingAvg. switch cost--Google Vertex Ai is a good fit if: your organization has dedicated ML engineers needing enterprise-scale custom model training and deployment.
Domino Da...Worth ConsideringPublic pricingAvg. switch cost--Domino Data Lab is a good fit if: your enterprise requires governed, scalable MLOps across hybrid clouds with dedicated data science teams.
Hugging F...Strong ContenderPublic pricingAvg. switch cost--The open-source standard for LLMs with unmatched model discovery, though you'll trade Algorithmia's governance depth for community agility.
ReplicateWorth ConsideringSeat-basedAvg. switch cost$9,000/yrReplicate is a good fit if: your engineering team needs to deploy custom or open-source ML models via API without managing Kubernetes or GPU clusters.
Weights &...Not RecommendedSeat-basedAvg. switch cost--Weights & Biases is not a strong catalog fit based on public pricing, migration, or product-fit signals.

Azure Machine Learning and Amazon Sagemaker selected for comparison.

Annual costTotal subscription cost for each app, shown for the selected billing period.
Algorithm...

--

Developer

Public catalog pricing. Organization spend is not included.

Azure Mac...

$4,200

Azure Machine Learning

Public catalog pricing estimate.

Amazon Sa...

$9,600

Pay-as-you-go

Public catalog pricing estimate.

3-Year Net SavingEstimated savings over three years after migration and setup costs.
Algorithm...

$0

No migration in the current app baseline.

Azure Mac...

--

After $25,000 estimated migration cost.

Amazon Sa...

--

After $25,000 estimated migration cost.

Team Fit ScoreHow closely the app matches the teams, workflows, and usage patterns currently in place.
Algorithm...

--

Azure Mac...

75/100

Azure ML serves data science teams building production models within Azure ecosystems, offering robust MLOps and CI/CD integration. Teams without dedicated ML engineers or those using simple BI tools will find the platform prohibitively complex and expensive. Organizations already using Azure Active Directory and DevOps see fastest time-to-value.

Amazon Sa...

70/100

SageMaker excels for data science teams already operating within AWS who need elastic compute for model training and deployment. Marketing, sales, and operations teams will find the interface impenetrable and cost structure unpredictable. Engineering teams without MLOps expertise struggle with the 50+ service configurations required for secure deployment.

Adoption RiskExpected friction, training effort, and behavior change needed to move teams onto the alternative.
Algorithm...

--

Public adoption signal for the current app.

Azure Mac...

high

Azure Machine Learning is a high-complexity migration. Estimated 8 weeks and $25,000 one-time cost.

Amazon Sa...

medium

Amazon Sagemaker is a high-complexity migration. Estimated 12 weeks and $25,000 one-time cost.

User satisfactionAvailable rating and review signal for team sentiment around the app.
Algorithm...

--

Azure Mac...

--

1250 reviews

Amazon Sa...

--

2100 reviews

Timeline & DisruptionExpected migration duration and disruption to normal workflows.
Algorithm...

No migration needed

Azure Mac...

8 weeks

High

Azure Machine Learning is a high-complexity migration. Estimated 8 weeks and $25,000 one-time cost.

Amazon Sa...

12 weeks

High

Amazon Sagemaker is a high-complexity migration. Estimated 12 weeks and $25,000 one-time cost.

Setup & trainingOne-time implementation, enablement, and training investment required.
Algorithm...

--

Azure Mac...

$25,000

Estimated one-time migration and setup effort.

Amazon Sa...

$25,000

Estimated one-time migration and setup effort.

Integration CoverageHow much of the current integration and workflow surface is covered by the app.
Algorithm...

--

Azure Mac...

--

Supports 400 native integrations.

Amazon Sa...

--

Supports 300 native integrations.

Feature Match (%)How closely the app matches current feature needs, including notable gaps or risks.
Algorithm...

100%

Azure Mac...

85%

  • Steep Python and Azure expertise required for core functions
  • Compute costs escalate unpredictably during model training
  • Limited low-code options for citizen data scientists
  • Vendor lock-in to Microsoft cloud infrastructure
Amazon Sa...

85%

  • Unpredictable billing spikes from GPU/TPU usage
  • No built-in data labeling for non-AWS workforces
  • Steep vendor lock-in to AWS ecosystem
  • Complex IAM permissions required for basic access
  • Cold start latency up to 60 seconds on serverless endpoints
CertificationsSecurity, privacy, and compliance certifications available for each app.
Algorithm...
SOC 2
Azure Mac...
SOC 1SOC 2SOC 3ISO 27001ISO 27018ISO 27701HIPAAGDPRFedRAMP
Amazon Sa...
SOC 2ISO 27001ISO 27017ISO 27018PCI DSSFedRAMPGDPR
Choose This IfThe conditions where keeping or switching to this app is likely to make sense.
Algorithm...

You already standardize on this app.

Azure Mac...

Your team builds production ML models and relies heavily on Microsoft Azure infrastructure

Amazon Sa...

Your data science team is AWS-native and requires elastic scaling for large-scale model training

Avoid This IfThe conditions where this app is likely to create cost, workflow, or adoption risk.
Algorithm...

Public pricing or fit signals no longer match your needs.

Azure Mac...

Your team only needs basic BI dashboards or sporadic statistical analysis without MLOps requirements

Amazon Sa...

You need predictable monthly costs or your team lacks AWS architecture expertise

Algorithmia Alternatives | Doow