Lytics Conductor vs Weka comparison

Focus on driving efficiency and adding value with data — not collecting, connecting, or cleaning it up.

Make Conductor your data-stitching, ID-resolving, profile-building toolkit.

Pipeline management

Say goodbye to data silos and make all your data accessible and actionable

• Leverage hundreds of connections (including via webhooks) for collecting and sending data
• Collect and manage customer data with secure APIs & SDKs
• Handle data at petabyte scale in real-time
• Easily monitor healthy pipelines
• Load customer data into your data warehouse in minutes

Schema management

Save time by easily managing and updating schemas as you add new data and identifiers

• Unify all of your customer’s touchpoints across their journey
• De-duplicate, manage and resolve identities for more accurate, unified customer profiles
• Import SQL attributes from your warehouses to build better audiences
• Stay compliant with GDPR and data privacy regulations
• Visualize data sources and schema fields to customize C360 schema mappings directly within the user interface
• Leverage generative AI for augmented schema and data mapping with Lytics Schema Co-pilot.

Identity management

Unify your customer data, resolve identities & build unified customer profiles.

• Simplify identity management with pre-built and customizable rules
• Optimize customer profiles by merging behaviors
• Discover valuable insights into data stitching by exploring customer identity graphs
• Enhance your identity resolution strategy with powerful visualizations and cohesive data source relationships
• Explore identity resolution at a profile level

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.