Redis to Valkey Migration Services

Section 01

Why Redis to Valkey Migration Keeps Coming Up: Licensing, Version Support, and Managed Pricing

Redis Inc. announced in March 2024 that Redis (from 7.4) would move to the source-available RSALv2/SSPLv1 licenses, which triggered the Linux Foundation's Valkey fork. In May 2025, Redis 8 added AGPLv3 as a third license option, so Redis Open Source is again available under an OSI-approved license (Redis licenses).

Migration is trending now because licensing, version-support schedules, and managed-service pricing each force the decision at different times. Managed services publish their own end-of-support dates: for example, Amazon ElastiCache ended standard support for Redis OSS versions 4 and 5 on 31 January 2026, and caches still on those versions are enrolled in paid Extended Support through 31 January 2029 (AWS). AWS recommends upgrading to ElastiCache for Valkey or a later Redis OSS version. Check your own provider's dates.

Many companies stayed on Redis 7.2 or earlier (the last BSD-licensed releases) to "wait and see" if Valkey would stabilize. Once your provider sets an end-of-support date for your engine version, you face a choice:

1. Upgrade to Redis 7.4+: Accept the RSALv2/SSPLv1 licenses (risky for SaaS/managed services), or from Redis 8 choose the AGPLv3 option after legal review.
2. Migrate to Valkey 8.0 or later: Keep the BSD open-source license and gain the I/O threading improvements the Valkey project benchmarks (workload-dependent).

Why companies choose Valkey:

• ✅ Licensing clarity: Redis 7.4 is RSALv2/SSPLv1 only; Redis 8 adds an AGPLv3 option with copyleft obligations. Valkey stays BSD-licensed under Linux Foundation governance.
• ✅ Managed support: AWS, Google Cloud, and Oracle offer managed Valkey services.
• ✅ Performance Reality: The Valkey project reports multi-threaded I/O gains on I/O-bound workloads; benchmark yours.
• ✅ Cost Pressure: AWS prices managed Valkey 20% (node-based) and 33% (serverless) below Redis OSS (AWS announcement).

---

Section 02

Go / No-Go Assessment

Use this scorecard to determine if Redis → Valkey migration is right for you:

Scoring:

• 10+ points: STRONG GO → Migrate to Valkey (licensing risk + cost/performance wins)
• 5-9 points: CONDITIONAL → Audit Redis Stack dependencies first, then migrate if feasible
• <5 points: NO-GO → Stay on Redis Enterprise or consider DragonflyDB alternative

---

Section 03

Top 3 Reasons Redis→Valkey Migrations Fail

1. Redis Stack Module Dependency Hell

The Trap: "Valkey is a Redis fork, so it includes everything Redis has."

Reality: Valkey forked base Redis 7.2.4 only. The Redis Stack modules (RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, RedisBloom) are Redis Inc. products that are not in the Valkey core. Valkey now has its own modules (valkey-json, valkey-bloom and valkey-search have 1.0 releases per the Valkey project), but they are not drop-in equivalents, so validate command coverage and behavior. Redis 8 folded JSON, the query engine, time series and probabilistic types into Redis core under its tri-license, and Redis discontinued RedisGraph with end of support on 31 January 2025 (Redis).

Failure pattern:

• A team uses RedisJSON for a large product catalog
• It assumes Valkey core has JSON support
• Result: The team must deploy and validate valkey-json, or rewrite queries for an alternative such as PostgreSQL JSONB, adding engineering labor and schedule delay

The Fix:

Module Migration Paths:

Prevention:

1. Audit Redis Stack usage first (before committing to Valkey migration)
2. Evaluate Valkey's modules (valkey-json, valkey-bloom and valkey-search; scoping ranges above are worst cases where no module fits)
3. Budget reengineering costs (assume $50K-$200K for heavy Stack module usage)
4. Consider staying on Redis Enterprise (if Stack modules are mission-critical and Valkey alternatives don't exist)

Time Cost: Each module migration adds time to the timeline; size it in the compatibility audit

---

2. Version 7.4+ Migration Blocker

The Trap: "I'll just upgrade my Redis 7.4 instance to Valkey."

Reality: Valkey forked from Redis 7.2.4 (last BSD-licensed version). Valkey's migration guide states that data files from Redis CE 7.4 and later are not compatible with Valkey (Valkey docs).

Failure pattern:

• A team runs Redis 7.4.x
• It attempts a snapshot migration (RDB export → Valkey import)
• Result: The RDB file is incompatible and data structures are not restored cleanly
• Fix: Downgrade Redis 7.4 → 7.2, re-export, and accept the schedule delay

Data Compatibility Matrix:

The Fix:

For Redis 7.4+ Users:

Option A: Command-Layer Copy (Safest)

# Step 1: Take full backup of Redis 7.4
redis-cli BGSAVE

# Step 2: Deploy the Valkey target
# Step 3: Use RIOT (or a similar tool) to read keys over normal commands and write them to Valkey
java -jar riot-redis.jar replicate --source redis://redis74:6379 --target redis://valkey:6379

# Step 4: Validate key counts and sample values, then cut over

Option B: Selective Data Migration (Complex)

• Export data types individually (STRING, HASH, SET, ZSET separately)
• Use custom scripts to handle incompatible data structures
• Cost: Scope from the number of incompatible data types and the custom tooling required

Option C: Stay on Redis 7.4 (If Valkey isn't viable)

• Accept Redis licensing (RSALv2/SSPL, or AGPLv3 from Redis 8 after legal review)
• Pay for Redis Enterprise if commercial use
• Alternative: Migrate to DragonflyDB (Redis-compatible but not a fork)

Prevention:

• Verify Redis version before planning Valkey migration
• Test snapshot restore (Redis ≤7.2 RDB → Valkey) in staging; Redis CE 7.4+ data files are not compatible with Valkey
• Use a command-layer copy, not RDB snapshot files, for Redis 7.4+

Time Cost: A command-layer copy of a Redis 7.4+ dataset adds time to the migration timeline

---

3. Performance Gain Overexpectation

The Trap: "Valkey 8.0 is 230% faster than Redis. We'll get massive speedup!"

Reality: The 230% throughput figure is workload-specific and comes from the Valkey project's own benchmark against Valkey 7.2 on one instance type (Valkey project benchmark). Valkey 8.0's multi-threaded I/O helps high-concurrency, I/O-bound workloads. CPU-bound or single-client workloads should expect much smaller gains.

Failure pattern:

• A team runs complex Lua scripts (CPU-bound)
• It expects a large speedup from the Valkey 8.0 migration
• Result: Little improvement, because the workload is CPU-bound on script execution, not I/O-bound

Performance Reality Check:

Measure each row on your own workload; no per-workload gain percentages are verified here.

The Fix:

Benchmark your workload:

# Step 1: Baseline Redis performance
redis-benchmark -h redis-host -p 6379 -t get,set -n 1000000 -c 50 -d 1024

# Step 2: Test Valkey 8.0 performance (same workload)
redis-benchmark -h valkey-host -p 6379 -t get,set -n 1000000 -c 50 -d 1024

# Step 3: Compare throughput (RPS) and latency (ms)
# If the gain is small, your workload probably isn't I/O-bound

Workload Analysis:

• High concurrency (>100 clients)? → Expect big Valkey 8.0 gains
• Single-threaded application? → Expect marginal gains
• Heavy Lua scripts? → Expect minimal gains (CPU-bound)

Prevention:

1. Don't migrate solely for performance (validate gains for your workload first)
2. Test in staging (realistic load, realistic data)
3. Set realistic expectations (not every workload gets 230% boost)

Note: Redis 8 also ships I/O threading changes, so benchmark against a current Redis release as well as Valkey 7.2.

Alternative: If performance is primary goal and Valkey gains are marginal, consider DragonflyDB (different architecture; its vendor reports large gains in some benchmarks, so verify on your workload)

---

Section 04

5 Technical Considerations

1. Licensing Audit: Do You Violate RSALv2/SSPL?

The Question: If you stay on Redis 7.4+, are you compliant with the RSALv2 and SSPL licenses (or with AGPLv3, if you choose that option from Redis 8)?

RSALv2 Restrictions:

• ❌ Cannot offer Redis as managed database service without commercial agreement
• ❌ Cannot sell Redis-derived software without open-sourcing modifications (similar licensing issues as MongoDB's SSPL)

AGPLv3 (Redis 8+, OSI-approved):

• ⚠️ Network-use copyleft: if you modify Redis and offer it to users over a network, you must offer them the source of your modifications
• ⚠️ Have counsel confirm how it applies to your use

SSPL Restrictions:

• ❌ If offering Redis as service, must open-source entire application stack
• ❌ Extremely controversial (considered "not open source" by OSI)

Red Flags (You're Likely Violating):

• Running Redis in multi-tenant SaaS platform
• Offering "Redis as a Service" to customers
• Embedding Redis in commercial product without open-sourcing

The Fix:

• Option A: Migrate to Valkey (BSD license, no restrictions, see data governance strategy for licensing risk management)
• Option B: Pay for Redis Enterprise commercial license
• Option C: Use Redis 8 under AGPLv3 after legal review (copyleft obligations apply to modified versions offered over a network)
• Option D: Legal review of your Redis usage (if unclear)

Cost of Non-Compliance: Redis Inc. could demand license fees retroactively or pursue legal action

---

2. Cloud Provider Native Support

AWS ElastiCache:

• ✅ Native Valkey support (check current engine versions)
• ✅ In-place upgrade from Redis OSS ≥5.0.6 (zero downtime)
• ✅ 20% lower node-based and 33% lower serverless pricing than Redis OSS, per AWS's announcement
• Migration: One-click upgrade in ElastiCache console

Google Cloud Memorystore:

• ✅ Memorystore for Valkey (generally available)
• ✅ Protocol-compatible with Redis 7.2 and Valkey 8.0
• ✅ RIOT tool for live migration from Memorystore for Redis
• Migration: Online migration with continuous replication

Oracle Cloud (OCI Cache):

• ✅ OCI Cache offers Valkey; check which versions are supported
• ✅ Upgrade path from OCI Cache with Redis; confirm supported source and target versions
• ✅ Check the current docs for scaling behavior
• Migration: In-service upgrade (preserves data, minimal reconnect)

Decision: If on major cloud provider, use managed Valkey (simpler, cheaper than self-managed)

---

3. Client Compatibility

Good News: Most Redis clients support Valkey out-of-the-box (same protocol, same API).

Tested Clients:

• ✅ Python: redis-py (all versions)
• ✅ Node.js: ioredis, node-redis
• ✅ Java: Jedis, Lettuce, Redisson
• ✅ Go: go-redis
• ✅ Ruby: redis-rb
• ✅ .NET: StackExchange.Redis

Edge Cases:

• ⚠️ Clients that cache server VERSION command (may need reconnect)
• ⚠️ Clients using Redis Stack-specific commands (FAIL if not migrated)

Testing:

# Python example: Verify Valkey compatibility
import redis
r = redis.Redis(host='valkey-host', port=6379)
print(r.ping())  # Should return True
print(r.info('server'))  # Check version (should show Valkey)

---

4. Data Migration Strategies

Option A: Snapshot Migration (Fastest, Requires Downtime)

# Step 1: Create RDB snapshot
redis-cli BGSAVE

# Step 2: Copy RDB to Valkey server
scp /var/lib/redis/dump.rdb valkey-server:/var/lib/valkey/

# Step 3: Start Valkey with RDB file
valkey-server --dbfilename dump.rdb

Downtime: 10 minutes - 2 hours (depending on data size)

Option B: Replication-Based (Zero Downtime)

# Step 1: Configure Valkey as Redis replica
valkey-cli REPLICAOF redis-host 6379

# Step 2: Wait for full sync
valkey-cli INFO replication  # Check master_link_status = up

# Step 3: Promote Valkey to primary
valkey-cli REPLICAOF NO ONE

# Step 4: Update application to use Valkey endpoint

Downtime: 0 minutes (requires DNS/load balancer switch)

Option C: RIOT Live Sync (Continuous Replication)

# Install RIOT (Redis Input/Output Tool)
wget https://github.com/redis/riot/releases/download/v3.1.0/riot-redis-3.1.0.jar

# Live sync Redis → Valkey
java -jar riot-redis-3.1.0.jar replicate \
  --source redis://redis-host:6379 \
  --target redis://valkey-host:6379 \
  --mode live

Downtime: Near-zero (stop sync, cutover when delta <1000 keys)

---

5. Long-Term Roadmap Divergence

Redis Inc.'s Strategy:

• Stack modules (JSON, query engine, time series, probabilistic types) folded into Redis 8 core under the same tri-license
• AI/ML features such as vector search
• Focus on Redis Enterprise monetization

Valkey's Strategy:

• Open-source modules (valkey-json, valkey-bloom, valkey-search have 1.0 releases)
• Community-driven feature development
• Performance optimization (multi-threading, RDMA support)

Key Differences (verify against current releases):

Decision: Choose based on long-term strategic priorities (open source + community vs commercial features + vendor support)

---

Section 05

Migration Roadmap

Phase 1: Licensing & Compatibility Audit (Week 1-2)

Activities:

• Audit Redis version (redis-cli INFO server | grep redis_version)
• Identify Redis Stack module usage (MODULE LIST)
• Review licensing implications (are you offering Redis as managed service?)
• Assess Valkey compatibility (version matrix, module alternatives)

Deliverables:

• Compatibility report (Redis version, modules, migration complexity)
• Licensing risk assessment
• Go/No-Go decision

---

Phase 2: Valkey Setup & Testing (Week 3-4)

Activities:

• Deploy Valkey test environment (AWS ElastiCache, GCP Memorystore, or self-managed)
• Migrate test dataset (snapshot or RIOT replication)
• Run performance benchmarks (redis-benchmark for YOUR workload)
• Test client compatibility (verify application connects to Valkey)

Deliverables:

• Working Valkey test environment
• Performance benchmark results (Valkey vs Redis for your workload)
• Client compatibility validation

---

Phase 3: Module Alternatives (Weeks 5-8, if needed)

Activities:

• If using RediSearch: Migrate to ElasticSearch/OpenSearch, reindex data
• If using RedisJSON: Migrate to PostgreSQL JSONB or MongoDB
• If using RedisGraph: Migrate to Neo4j or Amazon Neptune
• Test module alternative performance and feature parity

Deliverables:

• Module alternative deployed and tested
• Data migration completed (RediSearch → ElasticSearch, etc.)
• Application code updated to use new module alternative

---

Phase 4: Production Migration (Week 9+)

Activities:

• Choose migration strategy (snapshot, replication, or RIOT)
• Execute production migration (follow chosen strategy)
• Monitor Valkey performance (latency, throughput, memory usage)
• Decommission Redis (after validation period)

Deliverables:

• Production Valkey cluster running
• Application traffic shifted to Valkey
• Redis instances decommissioned

---

Section 06

Total Cost of Ownership (TCO)

Infrastructure Cost Comparison (AWS ElastiCache)

AWS announced ElastiCache for Valkey at 20% lower node-based pricing and 33% lower serverless pricing than Redis OSS (AWS announcement). Those are provider list-price differences, not a measured saving for your estate. Price your own node types, region and reserved-node terms in the AWS pricing calculator, and account for any change in node count if the Valkey project's reported memory-efficiency gains apply to your data.

Migration Investment Breakdown

The split below is an illustrative allocation for a hypothetical $50K migration, not a measured benchmark.

Hidden Costs (editorial scoping ranges):

• Redis Stack module migration: $50K-$200K (if using RediSearch/RedisJSON/RedisGraph)
• Redis 7.4+ downgrade: $10K-$30K (version compatibility work)
• Performance tuning: $5K-$20K (optimizing Valkey for your workload)

Break-Even Analysis:

Divide one-time migration cost by documented annual cache-spend savings (list-price difference, node-count change) net of any module re-engineering, and include the parallel-run period. Small cache bills make the cost-savings case weak; licensing exposure and version support may still justify the move.

---

Section 07

When to Hire Redis→Valkey Migration Services

DIY Migration (Total Cost: $0-$20K):

• ✅ Running Redis ≤7.2 (full compatibility)
• ✅ No Redis Stack modules (drop-in replacement)
• ✅ Using AWS/GCP/Oracle managed Redis (in-place upgrade available)
• ✅ Can afford 2-4 weeks internal team time
• ✅ Acceptable downtime 1-4 hours (snapshot migration)

Hire Consultant ($20K-$150K):

• ✅ Running Redis 7.4+ (version compatibility issues)
• ✅ Using Redis Stack modules (need module alternatives)
• ✅ Petabyte-scale data (complex migration engineering)
• ✅ Zero-downtime required (CDC/replication setup)
• ✅ Licensing audit needed (RSALv2/SSPL compliance review)
• ✅ Self-managed Kubernetes deployment (no cloud provider automation)

Engagement Models:

1. Assessment Only ($10K-$30K): Compatibility audit, migration roadmap, decision support
2. Full Migration ($50K-$150K): End-to-end execution including module alternatives
3. Hybrid ($20K-$50K): Consultant provides roadmap, your team executes migration

---

Section 08

Architecture Transformation

Key Transformations:

1. Licensing: RSALv2/SSPL → BSD (open source preserved)
2. Performance: Single-threaded I/O → Multi-threaded I/O (higher throughput for high-concurrency, I/O-bound workloads)
3. Memory: Baseline → improved memory efficiency (more keys per node; project-reported)
4. Modules: Stack modules → Valkey modules (valkey-json, valkey-search) or external alternatives (ElasticSearch, PostgreSQL JSONB for JSON ops)

---

Section 09

Post-Migration: Best Practices

Months 1-3: Stabilization

• Monitor performance: Track latency (p50, p95, p99), throughput (RPS), memory usage
• Optimize memory: Use Valkey 8.0's improved data structures (automatic)
• Tune concurrency: Increase io-threads if workload is I/O-bound (check the default and limits for your Valkey version)
• Verify replication: Ensure replicas are in sync and measure lag against your own baseline

Months 4-6: Optimization

• Test Valkey 8.0 features: Multi-threaded I/O, RDMA support (if specialized networking)
• Review module alternatives: Ensure ElasticSearch/PostgreSQL JSONB performance meets SLAs
• Cost analysis: Compare actual spend with your pre-migration bill (node costs + memory efficiency)

Months 7-12: Advanced Features

• Evaluate Valkey modules: valkey-json and valkey-search for features you used from Stack modules
• Community contribution: Submit feature requests, contribute code (Linux Foundation governance)
• Stay updated: Follow the Valkey release notes

---

Section 10

FAQ

Why migrate from Redis to Valkey in 2025?

Answer: Four reasons: (1) Redis 6 is an old release line: check your provider's support dates (managed services publish their own end-of-support schedules), because teams still on it will eventually have to move to a supported version. Upgrading to Redis 7.4 means accepting RSALv2/SSPLv1 (Redis 8 adds an AGPLv3 option); migrating to Valkey keeps the BSD license. (2) Licensing Freedom: Valkey preserves the BSD license, avoiding RSALv2/SSPL risks for SaaS/managed services. (3) Cost Savings: AWS announced ElastiCache for Valkey at 20% lower node-based and 33% lower serverless pricing than Redis OSS; verify against your own bill. (4) Performance: The Valkey project reports higher throughput in Valkey 8.0 for high-concurrency, I/O-bound workloads; benchmark your own.

Is Valkey a drop-in replacement for Redis?

Answer: YES for Redis ≤7.2 base features (same API, same data format, same client compatibility). NO for Redis Stack modules (RediSearch, RedisJSON, RedisGraph, RedisTimeSeries are Redis Inc. products, not part of the Valkey core fork; Valkey has separate modules). NO for Redis 7.4+ (diverged from Valkey's 7.2.4 fork point; Valkey's docs say its data files are not compatible). Most companies can migrate with zero code changes IF they're on Redis ≤7.2 and not using Stack modules.

What happens to Redis Stack modules (RediSearch, RedisJSON, RedisGraph)?

Answer: Valkey core does NOT include Redis Stack modules. Migration paths: (1) RediSearch → valkey-search (verify feature coverage) or ElasticSearch/OpenSearch. (2) RedisJSON → valkey-json, PostgreSQL JSONB, or MongoDB. (3) RedisGraph → Neo4j or Amazon Neptune; Redis discontinued RedisGraph itself. Teams that used RedisJSON for a product catalog, for example, must validate valkey-json or rewrite queries for an alternative. Scope the work per module; the $50K-$200K range is an editorial scoping range for heavy module usage, not a measured cost.

How much does Redis to Valkey migration cost?

Answer: Editorial scoping ranges, $0-$500K+, depending on: (1) Redis version: ≤7.2 = $0-$20K (simple upgrade), 7.4+ = $50K-$150K (data compatibility work). (2) Module usage: No modules = $0, RediSearch+RedisJSON = $50K-$200K (reengineering). (3) Data volume: <100GB = $0-$20K, 1TB+ = $50K-$100K, petabyte = $200K+. (4) Downtime tolerance: Acceptable downtime = $0-$20K (snapshot migration), zero downtime = $20K-$50K (CDC/replication setup). (5) Cloud provider: AWS/GCP/Oracle managed = $0 (in-place upgrade), self-managed Kubernetes = $30K-$100K (migration engineering). These are not supplier quotes; get a scoped estimate.

What's the migration timeline for Redis to Valkey?

Answer: 2-12 weeks depending on complexity. FAST (2-4 weeks): Redis ≤7.2, no Stack modules, <100GB data, cloud provider managed upgrade (AWS ElastiCache/GCP Memorystore). TYPICAL (6-8 weeks): Redis 7.2, 1TB data, some module alternatives needed, zero-downtime requirement. COMPLEX (10-12 weeks): Redis 7.4+, heavy Redis Stack usage, petabyte-scale data, self-managed Kubernetes deployment. Phase breakdown: (1) Audit + Planning: 1-2 weeks. (2) Valkey Setup + Testing: 1-2 weeks. (3) Module Alternatives (if needed): 4-8 weeks. (4) Production Migration: 1-2 weeks.

Can I migrate Redis to Valkey without downtime?

Answer: YES, using three strategies: (1) Replication-Based Migration: Set up Valkey as Redis replica, let it sync, promote Valkey to primary. AWS ElastiCache offers this natively for Redis ≥5.0.6 (zero downtime). (2) RIOT Live Sync: Use Redis Input/Output Tool (RIOT) to continuously replicate Redis → Valkey, cutover when synced. (3) Blue-Green Deployment: Run Redis and Valkey in parallel, gradually shift traffic. Downtime options (scoping ranges): Zero = $20K-$50K migration cost, <1 hour = $5K-$20K, 4-12 hours = $0-$5K (snapshot migration).

Should I migrate to Valkey or stay on Redis?

Answer: MIGRATE TO VALKEY if: (1) You offer Redis as managed service (RSALv2/SSPL restrictions apply = legal risk). (2) Using Redis ≤7.2 without heavy Stack module dependency. (3) Running on AWS/GCP/Oracle (managed Valkey available at lower list prices on AWS). (4) You value open source / vendor neutrality (BSD license). (5) Redis 6 user whose provider is ending support for that version. STAY ON REDIS if: (1) Heavily dependent on Redis Stack modules (RediSearch, RedisJSON, RedisGraph) and the Valkey module equivalents don't fit. (2) Willing to pay for Redis Enterprise commercial license. (3) On Redis 7.4+ and data compatibility issues are blocking. (4) Your legal review accepts Redis 8's AGPLv3 option. Alternative: DragonflyDB (Redis-compatible but a different architecture; its vendor reports large gains in some benchmarks, so verify on your workload).

What is Valkey 8.0's performance improvement over Redis?

Answer: In the Valkey project's own benchmark, Valkey 8.0 reached 1.19M RPS against 360K RPS for Valkey 7.2 (about 230% higher throughput) with average latency falling from 1.79ms to 0.54ms, measured with 650 clients sending SET commands on one AWS EC2 c7g.16xlarge instance (Valkey project benchmark). Note the baseline is Valkey 7.2, not a Redis release. The gains apply to HIGH-CONCURRENCY, I/O-BOUND workloads: multi-threaded I/O offloads socket reading/writing to separate threads, freeing the main thread for command execution. Likely beneficiaries: web sessions (many concurrent GET/SET ops), leaderboards (high-concurrency ZADD/ZRANGE), caching layers (read-heavy with minimal compute). Expect much smaller gains for single-client scenarios, CPU-bound Lua scripts and write-heavy workloads (replication bottleneck). Benchmark YOUR workload before migrating for performance alone.

---

Evidence note: Earlier versions of this page cited project counts, median costs and timelines, success rates, failure shares and anonymous project case studies that could not be reproduced from available records; they have been withdrawn. Cost and timeline ranges are editorial scoping ranges, not supplier quotes. Performance and pricing figures are attributed to the Valkey project and AWS. See our methodology.

---

Section 11

Risk Factors

Redis Stack Module Dependency Hell

Companies using RediSearch, RedisJSON, or RedisGraph assume Valkey has equivalents. Reality: Valkey forked base Redis 7.2, not the Stack modules. Valkey's own modules (valkey-json, valkey-bloom, valkey-search) are separate and need validation against your commands. Can require reengineering (editorial scoping range $50K-$200K) where no equivalent fits.

Version 7.4+ Migration Blocker

Redis 7.4 diverged from Valkey's fork point (7.2.4). Valkey's migration guide states that data files from Redis CE 7.4 and later are not compatible with Valkey, so those deployments must copy data at the command layer rather than restore RDB snapshots.

Performance Gain Overexpectation

The Valkey project's 230% throughput figure for Valkey 8.0 (versus Valkey 7.2, on one instance type) is workload-specific: high-concurrency, I/O-bound workloads. CPU-bound workloads (complex Lua scripts, single-client scenarios) should expect much smaller gains. Performance testing is mandatory.

---

Section 12

Feasibility Analysis

Ideal candidates

• Using Redis in managed service offering (RSALv2/SSPL licensing violation → legal risk)
• Running Redis ≤7.2 without heavy Redis Stack module usage (drop-in replacement, minimal reengineering)
• Cloud provider users (AWS ElastiCache, GCP Memorystore offer managed Valkey; AWS lists ElastiCache for Valkey 20% (node-based) and 33% (serverless) below Redis OSS)
• Open-source advocates prioritizing vendor neutrality (Valkey BSD license vs Redis source-available)
• Performance-critical workloads (Valkey 8.0's multi-threaded I/O raised throughput on high-concurrency, I/O-bound workloads in the Valkey project's benchmark)
• Redis 6 users whose provider has set or announced an end-of-support date (must move to a supported version)

Break-even cost: Divide one-time migration cost by documented annual cache-spend savings (for example the ElastiCache Valkey vs Redis OSS price difference), net of any module re-engineering cost Talent risk: LOW - Valkey is API-compatible with Redis. Existing Redis developers can transition easily. No new skills required.