MLOps & Data Engineering

Tamr

Data Engineering, MLOps & Pipelines

6.6 /10

Unify and enrich complex enterprise datasets at scale

Tecton

Data Engineering, MLOps & Pipelines

6.8 /10

Automate consistent feature engineering for batch and real-time ML pipelines

Featureform

Data Engineering, MLOps & Pipelines

6.6 /10

Automate feature engineering workflows for ML teams with seamless versioning and governance

Hopsworks

Data Engineering, MLOps & Pipelines

6.8 /10

Manage and share ML features with robust versioning and governance

Wherobots

Data Engineering, MLOps & Pipelines

6.8 /10

Optimize spatial and genomics data workflows for efficient feature engineering

Kaskada

Data Engineering, MLOps & Pipelines

6.4 /10

Streamline feature engineering for real-time ML pipelines

Kubeflow

Data Engineering, MLOps & Pipelines

6.9 /10

Automate and scale machine learning workflows on Kubernetes

FeatureBase

Data Engineering, MLOps & Pipelines

6.9 /10

Accelerate real-time feature engineering for machine learning teams

Feast

Data Engineering, MLOps & Pipelines

6.8 /10

Centralize and manage ML features for consistent training and serving

FeatureByte

Data Engineering, MLOps & Pipelines

6.6 /10

Simplify feature engineering with a code-first feature store platform

IBM Watson Natural Language Understanding

Data Engineering, MLOps & Pipelines

5.6 /10

Analyze text to extract entities, sentiment, keywords, and more

TransmogrifAI

Data Engineering, MLOps & Pipelines

6.9 /10

Automate feature engineering and ML pipelines on large-scale Spark data

Embeddings

Data Engineering, MLOps & Pipelines

6.9 /10

Generate dense text embeddings for semantic search and NLP tasks

Upgini

Data Engineering, MLOps & Pipelines

6.7 /10

Select impactful features to improve your machine learning models

JADBio

Data Engineering, MLOps & Pipelines

6.6 /10

Automate feature selection to build accurate machine learning models