Keydb News November 2025 ((full)) -

All features are with Redis‑compatible clients; the migration path from 7.1 to 7.2 is documented as a single‑command upgrade ( keydb-upgrade ). 3. Performance Benchmarks | Test | Environment | Throughput (ops/s) | Latency (p99) | Δ vs. KeyDB 7.1 | |------|-------------|--------------------|---------------|-----------------| | SET‑GET (single‑thread) | 2 × Intel Xeon E5‑2699 v4, 256 GB RAM, NVMe 2 TB | 18.7 M | 0.45 ms | +18 % | | MGET (10‑key batch) | Same as above | 34.2 M | 0.61 ms | +23 % | | Pub/Sub (10 K channels) | 4 × AMD EPYC 7763, 512 GB RAM, 8 × NVMe | 12.1 M msgs/s | 0.71 ms | +27 % | | Active‑Active Write | 3‑region cluster (US‑East, EU‑West, AP‑South) | 9.5 M writes/s | 1.2 ms (global) | N/A (new) |

The capability, coupled with security‑first defaults and zero‑copy persistence , positions KeyDB to capture a larger share of the rapidly expanding cloud‑native and edge‑computing markets. With strong community engagement, a healthy funding round, and expanding ecosystem partnerships, KeyDB is well‑poised for continued growth through 2026 and beyond.

Key milestones include:

Overall sentiment in the market is : analysts at Gartner and Forrester now rank KeyDB alongside Redis Enterprise as “Leader” in the In‑Memory Data Store quadrant. 2. Product & Release Highlights | Feature | Description | Impact | |---------|-------------|--------| | Active‑Active Replication | Multi‑master, conflict‑free replication across up to 5 geographic regions, using CRDT‑based merge logic. | Enables true global low‑latency reads/writes; eliminates “single‑region master” bottlenecks. | | Zero‑Copy Persistence (ZCP) | Direct‑IO file writes bypass kernel page cache, combined with memory‑mapped snapshots. | Reduces persistence latency by ~70 % and cuts SSD wear. | | Built‑in Cloud‑Connector Modules | Pre‑packaged modules for AWS S3 , Azure Blob , Google Cloud Storage , and Kubernetes Secrets . | Simplifies backup/restore and secret management for cloud‑native deployments. | | Thread‑Affinity Scheduler | Automatic pinning of worker threads to CPU cores based on workload profiling. | Improves cache locality, delivering 15‑25 % latency reductions on hyper‑threaded CPUs. | | Secure‑by‑Default Profile | Out‑of‑box configuration disables unauthenticated access, forces TLS 1.3, and enforces ACL best‑practice templates. | Lowers the attack surface for new installations; compliance‑ready for PCI‑DSS, HIPAA. | | KeyDB‑CLI 2.0 | Modern, extensible CLI with JSON output, scripting support, and integrated Grafana‑Lite dashboard. | Improves operational visibility for SRE teams. | | Enterprise Management Console (EMC) | SaaS‑hosted UI for cluster topology, health alerts, and rolling upgrades. | Reduces operational overhead for large‑scale deployments. |

These case studies have been featured in the (Nov 2025) and have contributed to a 15 % YoY increase in paid subscriptions. 7. Market Outlook | Metric (Q4 2025) | Value | YoY Change | |------------------|-------|------------| | Total KeyDB Deployments | 1 200+ (incl. self‑hosted, managed) | +28 % | | Enterprise ARR | $84 M | +32 % | | Global Market Share – In‑Memory DB | 12 % (3rd place) | +3 pts | | Developer Sentiment (StackOverflow) | 4.8/5 | +0.3 | keydb news november 2025

The community’s GitHub star count rose to , and the Discord server now hosts over 7 k active developers. 6. Adoption & Enterprise Cases | Customer | Use‑Case | Deployment Size | Reported Benefits | |----------|----------|------------------|-------------------| | Shopify | Session store & real‑time inventory sync | 12 TB RAM cluster across 4 regions | 40 % reduction in cart‑abandonment latency; 2× cost saving vs. Redis Enterprise. | | Netflix | Recommendation‑engine cache tier | 8 × c5.9xlarge nodes (AWS) | 30 % higher query throughput during peak traffic; easier multi‑region rollout. | | Deutsche Bank | Fraud‑detection event bus (Pub/Sub) | 6 × on‑prem EPYC‑based nodes | Sub‑millisecond event propagation; compliance with EU data‑residency rules. | | NASA (JPL) | Telemetry buffering for Mars rover | 2 × custom‑ASIC edge nodes + cloud fallback | Zero‑copy persistence kept data loss < 0.01 % during link outages. | | Open‑Source Project “LumenCache” | Distributed cache library for Rust apps | Community‑maintained (no commercial SLA) | Adoption of the Rust replication engine; 15 % performance boost. |

| Area | Highlight | |------|-----------| | | KeyDB 7.2 GA (General Availability) – 7‑core improvements | | Performance | 2‑3× throughput gains on modern NVMe‑based servers (benchmark‑ed by DB‑Engines) | | Security | End‑to‑End TLS 1.3 enforcement, “Secure‑by‑Default” configuration profile | | Ecosystem | First‑class AWS Aurora‑compatible and Azure Managed KeyDB offerings | | Community | KeyDB Summit 2025 (virtual + Berlin hackathon) – 1 500+ attendees | | Adoption | New contracts with Shopify , Netflix , Deutsche Bank , and NASA | | Funding | $45 M Series B round led by Accel and GV , earmarked for enterprise tooling and global support centers | KeyDB 7

Prepared: 14 April 2026 1. Executive Summary November 2025 was a pivotal month for KeyDB , the high‑performance, multithreaded fork of Redis. The community saw the launch of KeyDB 7.2 , a major release that introduced native Active‑Active replication , Zero‑Copy Persistence , and Built‑in Cloud‑Connector modules.