Redis Connector

Pull Redis cache data into your analytics pipeline.

Connect Redis as a data source. Pull strings, hashes, lists, and sets into your analytics pipeline and run no-code transformations on your in-memory data - no custom scripts, no engineering tickets.

SOC2 COMPLIANT
GDPR READY
Redis
ConnectRedis
ExtractKey Space Scan
TransformNo-Code Pipeline
OutcomePipeline Ready
Analytics Pipeline Active

From raw Redis data to
Pipeline-Ready Data in minutes.

Secure Connection

Link your Redis instance using bank-grade AES-256 encryption. Your credentials never leave our secure vault.

01

Key Space Extraction

Edilitics reads your Redis key space and normalises strings, hashes, lists, and sets into structured tabular form — automatically.

02

No-Code Transform

Apply filters, joins, aggregations, and conditional logic to your in-memory data — no scripts, no engineering tickets.

03

Why use the Redis
Connector for Edilitics?

Unlike generic ETL tools, Edilitics builds a Governance-First loop around your Redis data, ensuring trust before analysis.

Zero-Touch Data Observability

Automatic monitoring of schema drift and data health anomalies without manual configuration.

Privacy-Preserving AI

Our proprietary Tiered Trust model ensures that AskEdi reasons on metadata, not your raw records.

Instant Semantic Layer

AI-generated column descriptions that bridge the gap between raw tables and business logic.

Advanced Capabilities

Enterprise-Grade Architecture

Sync Mode
Real-time
Change Data Capture
Security
PBKDF2
Fernet-Symmetric Key
DQ Engine
A-F Grade
Triple-Block Sampling
Privacy
3 Modes
ZERO RAW ROWS TO AI
Certified Redis protocol active for this integration.

Write analytics-ready Redis data
to any destination.

Transform your Redis data and write the results directly to any major cloud warehouse or database. Clean, governed, and ready to use - no export scripts, no manual handoffs.

COMMON QUESTIONS

Everything you need to know about the Redis Connector.

Get answers to common questions about connecting Redis to your data stack.