Machine Learning & Data Science · head to head
Alteryx vs Milvus

Milvus
Machine Learning & Data Science
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; Milvus vector dimensions are capped at 32,768
- They diverge on capability: Alteryx covers Data preparation, Milvus covers Billion-scale vectors.
Where they differ
Only the attributes on which Alteryx and Milvus actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
Only in Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
Both cover
- Windows support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Alteryx
- Data preparation and building AI-ready datasetsnot Milvus
- Predictive analytics without writing codenot Milvus
- Automating and orchestrating repeatable analytics workflowsnot Milvus
- Enterprise reporting with governed, reusable logicnot Milvus
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Milvus
Milvus
- Self hosting a vector database for semantic searchnot Alteryx
- Storing and querying embeddings for retrieval augmented generationnot Alteryx
- Similarity search over images, audio or text at scalenot Alteryx
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Which should you pick?
Choose Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Choose Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Questions people ask
- Is Alteryx or Milvus better?
- Neither clearly leads. Alteryx starts at Free and Milvus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or Milvus?
- Alteryx starts at Free and Milvus at Free.
- Does Alteryx or Milvus run on more platforms?
- Alteryx runs on Windows, Web. Milvus runs on Linux, Mac, Windows, Web.
- Can I use Alteryx for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Alteryx best used for?
- Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Milvus is typically brought in for.
- What can Alteryx do that Milvus cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Both handle Windows support, Web support.
Related pages
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- Alteryx vs Google Vertex AI
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Snowflake
- Alteryx vs TensorFlow
- Alteryx vs Comet ML
- Alteryx vs Keras
- Alteryx vs MLflow
- Alteryx vs Jupyter
- Alteryx vs PyTorch
- Alteryx vs scikit-learn
- Alteryx vs Apache Spark MLlib
- Alteryx vs Weights & Biases
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- Alteryx vs DVC
- Milvus vs AWS SageMaker
- Milvus vs Google Vertex AI
- Milvus vs Azure Machine Learning
- Milvus vs DataRobot
- Milvus vs Snowflake
- Milvus vs TensorFlow
- Milvus vs Comet ML
- Milvus vs Keras
- Milvus vs MLflow
- Milvus vs Jupyter
- Milvus vs PyTorch
- Milvus vs scikit-learn
- Milvus vs Apache Spark MLlib
- Milvus vs Weights & Biases
- Milvus vs Anaconda
- Milvus vs Databricks
- Milvus vs Dataiku
- Milvus vs DVC

