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Learn MorePros of Pachyderm
Pros of Polyaxon
Pros of Pachyderm
- Containers3
- Versioning1
- Can run on GCP or AWS1
Pros of Polyaxon
- Cli2
- API2
- Streamlit integration2
- Python Client2
- Notebook integration2
- Tensorboard integration2
- VSCode integration2
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Cons of Pachyderm
Cons of Polyaxon
Cons of Pachyderm
- Recently acquired by HPE, uncertain future.1
Cons of Polyaxon
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- No public GitHub repository available -
What is Pachyderm?
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
What is Polyaxon?
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
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Jobs that mention Pachyderm and Polyaxon as a desired skillset
What companies use Pachyderm?
What companies use Polyaxon?
What companies use Pachyderm?
See which teams inside your own company are using Pachyderm or Polyaxon.
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What tools integrate with Pachyderm?
What tools integrate with Polyaxon?
What tools integrate with Pachyderm?
What tools integrate with Polyaxon?
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What are some alternatives to Pachyderm and Polyaxon?
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
DVC
It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.