Abacus or Nyckel? A Comprehensive Review

End-to-end MLOps platform

Enterprise-scale flexibility

Support for streaming pipelines

Advanced data wrangling

Real-time ML feature store

State-of-the-art machine learning models

Notebook hosting service

Support for training pipelines

Model explanations by modern techniques

Model monitoring & drift tracking

Lightning-fast machine learning

Multiple input data types

Multiple output data functions

Object detection in images

OCR capabilities

API-first design

Integrated data engine

Deep learning capacity

Fast model training and deployment

High uptime and low latency

No customisation options

Lacks third-party integrations

No offline mode

No mobile version

Relies on Python or SQL

Limited model analysis options

No version control

Lacks advanced data visualization

Unspecified complexity management

Limited function types

Undefined accuracy parameters

Minimum spend for production

Latency in specific scenarios

Possibly costly for heavy usage

Complex for non-technical users

Limited model export options

Requires hefty data for training

Potential constraints on scale

Limited enterprise-level support