Redis Labs (now Redis Inc.) provides in-memory data structure storage, caching, and real-time data processing through Redis Enterprise and Redis Cloud. Pricing is influenced by the deployment model (cloud-managed vs. self-hosted), memory capacity, throughput requirements, and optional features like active-active geo-distribution, search, and JSON support. To understand Redis Labs pricing in 2026, it is essential to clarify both infrastructure costs and the premium features that contribute to total contract value.
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This guide combines Redis Labs' published pricing with Vendr's dataset and analysis to break down Redis Labs pricing in 2026, including:
Whether you're evaluating Redis Labs for the first time or preparing for renewal, this guide is designed to help you budget accurately and negotiate with clearer market context.
Redis Labs pricing in 2026 depends on deployment model, memory capacity, throughput (operations per second), replication and high-availability requirements, and optional modules like RediSearch, RedisJSON, RedisGraph, and RedisTimeSeries. The two primary deployment models are Redis Cloud (fully managed SaaS) and Redis Enterprise Software (self-hosted with annual subscription licensing).
Redis Cloud pricing is consumption-based, charged monthly per gigabyte of memory and throughput tier. List pricing for Redis Cloud typically starts around $0.10–$0.15 per GB-hour for basic cache configurations, with premium tiers (active-active geo-replication, advanced modules) ranging from $0.30–$0.60+ per GB-hour depending on region, redundancy, and feature set.
Redis Enterprise Software is licensed annually based on the number of shards (database instances) or total memory capacity across your infrastructure. List pricing for Redis Enterprise Software typically starts around $10,000–$15,000 annually for small deployments (under 100 GB total capacity) and scales to $50,000–$150,000+ for enterprise deployments with hundreds of gigabytes, multiple clusters, and premium support.
Benchmarking context: Vendr's pricing benchmarks show percentile-based pricing for Redis Labs across deployment models, memory tiers, and contract structures, helping buyers assess whether a given quote reflects typical market outcomes.
Redis Labs offers multiple product tiers and deployment options. The primary distinction is between cloud-managed (Redis Cloud) and self-hosted (Redis Enterprise Software), with further segmentation by feature set and support level.
Redis Cloud Essentials is the entry-level managed offering, designed for development, testing, and small production workloads. It includes basic caching and data structure support without advanced modules or geo-replication.
Pricing Structure:
Redis Cloud Essentials is priced per GB-hour of memory and throughput tier. List pricing typically ranges from $0.10–$0.15 per GB-hour for standard configurations in major cloud regions (AWS, GCP, Azure). Pricing increases with higher throughput requirements, additional availability zones, and premium regions.
Observed Outcomes:
Based on anonymized Redis Labs transactions in Vendr's platform, buyers deploying Redis Cloud Essentials for small-to-medium workloads (10–50 GB memory, moderate throughput) often see monthly costs in the range of $200–$800, depending on region and redundancy. Discounting is less common at this tier due to low contract values, but annual prepay commitments can yield 10–15% savings over monthly billing.
Benchmarking context:
Vendr's Redis Labs pricing tool provides percentile-based benchmarks for Redis Cloud Essentials by memory tier and region, helping buyers validate quotes and identify negotiation opportunities.
Redis Cloud Pro is the mid-tier managed offering, adding high availability, automated backups, and support for advanced data structures. It is designed for production workloads requiring reliability and performance.
Pricing Structure:
Redis Cloud Pro is priced per GB-hour with higher base rates than Essentials, typically $0.20–$0.35 per GB-hour depending on region, replication (single-zone vs. multi-zone), and throughput tier. Additional costs apply for data transfer, backup storage, and premium support.
Observed Outcomes:
Vendr transaction data shows that buyers deploying Redis Cloud Pro for production workloads (50–200 GB memory, high throughput) commonly see monthly costs between $1,500 and $6,000. Annual prepay commitments and multi-year terms often yield 15–25% discounts off list pricing.
Benchmarking context:
Compare Redis Cloud Pro pricing with Vendr to see percentile-based benchmarks for similar memory and throughput configurations, and identify where negotiation leverage exists.
Redis Cloud Ultimate is the premium managed tier, offering active-active geo-replication, advanced modules (RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, RedisBloom), and enterprise-grade SLAs. It is designed for mission-critical, globally distributed applications.
Pricing Structure:
Redis Cloud Ultimate is priced per GB-hour with premium rates, typically $0.40–$0.70+ per GB-hour depending on the number of active-active regions, module usage, and throughput requirements. Multi-region deployments and advanced modules significantly increase total cost.
Observed Outcomes:
Based on Vendr's dataset, buyers deploying Redis Cloud Ultimate for large-scale, globally distributed workloads (200+ GB memory, multiple regions, advanced modules) often see monthly costs ranging from $8,000 to $30,000+. Multi-year commitments and volume-based negotiation commonly yield 20–30% off list pricing.
Benchmarking context:
Vendr's negotiation and pricing tools surface observed discount ranges and contract structures for Redis Cloud Ultimate, helping buyers assess competitive positioning and negotiate with clearer market context.
Redis Enterprise Software is the self-hosted deployment option, licensed annually based on total memory capacity or shard count. It includes all advanced modules, active-active geo-replication, and enterprise support.
Pricing Structure:
Redis Enterprise Software is typically licensed annually with pricing based on total memory capacity across all clusters. List pricing generally starts around $10,000–$15,000 annually for small deployments (under 100 GB) and scales to $50,000–$150,000+ for large enterprise deployments (500+ GB, multiple clusters, premium support). Pricing may also be structured per shard or per node depending on deployment architecture.
Observed Outcomes:
Vendr data shows that buyers deploying Redis Enterprise Software for large-scale on-premises or hybrid cloud environments often negotiate 20–35% below list pricing, particularly for multi-year commitments and deployments exceeding 500 GB total capacity.
Benchmarking context:
Get your custom Redis Enterprise Software price estimate to see percentile-based benchmarks for similar deployment sizes and contract terms.
Redis Labs pricing is driven by several key factors that determine total contract value. Understanding these cost drivers helps buyers budget accurately and identify negotiation opportunities.
Memory capacity:
Total memory allocated across all Redis databases is the primary cost driver. Pricing scales linearly or in tiers based on total GB provisioned. Buyers should right-size memory allocation to avoid over-provisioning.
Throughput and operations per second (OPS):
Higher throughput requirements increase pricing, particularly for Redis Cloud tiers. Buyers with variable workloads should evaluate burst capacity options and autoscaling to optimize costs.
Deployment model:
Redis Cloud (managed SaaS) typically costs more per GB than Redis Enterprise Software (self-hosted) due to infrastructure and operational overhead, but eliminates the need for internal DevOps resources. Buyers should evaluate total cost of ownership, including staffing and infrastructure.
Replication and high availability:
Multi-zone or multi-region replication increases costs significantly. Buyers should assess whether active-active geo-replication is required or whether active-passive failover meets availability needs at lower cost.
Advanced modules:
RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, and RedisBloom are often priced as add-ons or included only in premium tiers. Buyers should confirm which modules are required and whether they are included in the quoted tier.
Data transfer and egress:
Redis Cloud charges for data transfer between regions and out to the internet. Buyers with high egress volumes should model these costs carefully and negotiate caps or discounts.
Support tier:
Standard support is typically included, but premium support (24/7, faster SLAs, dedicated account management) adds 10–20% to annual contract value. Buyers should evaluate whether premium support is necessary or whether standard support meets operational needs.
Contract term and prepay:
Multi-year commitments and annual prepay typically yield 15–30% discounts off list pricing. Buyers should evaluate cash flow and renewal flexibility when considering longer terms.
Beyond base subscription or consumption fees, Redis Labs deployments often incur additional costs that buyers should budget for upfront.
Data transfer and egress fees:
Redis Cloud charges for data transfer between availability zones, regions, and out to the internet. High-traffic applications can incur significant egress costs. Buyers should model expected data transfer volumes and negotiate caps or discounts where possible.
Backup and snapshot storage:
Automated backups and snapshots consume additional storage, typically charged per GB-month. Buyers should confirm backup retention policies and associated costs.
Premium support fees:
Upgrading from standard to premium support (24/7 coverage, faster response times, dedicated technical account management) typically adds 10–20% to annual contract value. Buyers should evaluate whether premium support is necessary based on internal DevOps capabilities.
Advanced module licensing:
RediSearch, RedisJSON, RedisGraph, RedisTimeSeries, and RedisBloom may be priced separately or included only in premium tiers. Buyers should confirm which modules are included in the quoted tier and budget for add-ons if required.
Professional services and onboarding:
Redis Labs often quotes professional services for migration, architecture review, and performance optimization. These services typically range from $10,000 to $50,000+ depending on complexity. Buyers should clarify what is included in the base subscription and what requires additional services fees.
Overage charges:
Redis Cloud may charge overage fees if memory or throughput usage exceeds provisioned capacity. Buyers should understand overage pricing and configure alerts to avoid unexpected costs.
Multi-region replication costs:
Active-active geo-replication significantly increases infrastructure and data transfer costs. Buyers should evaluate whether active-active is required or whether active-passive failover meets availability needs at lower cost.
Annual price increases:
Redis Labs contracts often include annual price escalation clauses (typically 3–7%). Buyers should negotiate caps on annual increases or lock in flat pricing for multi-year terms.
Redis Labs pricing varies widely based on deployment model, memory capacity, throughput, and feature set. Based on anonymized Redis Labs transactions in Vendr's dataset, buyers commonly see the following patterns:
Small deployments (under 50 GB, Redis Cloud Essentials or Pro):
Monthly costs typically range from $500 to $2,500, depending on region, redundancy, and throughput. Annual prepay commitments often yield 10–20% savings over monthly billing.
Mid-sized deployments (50–200 GB, Redis Cloud Pro or Redis Enterprise Software):
Monthly costs typically range from $2,000 to $10,000. Buyers negotiating multi-year commitments and volume-based pricing often achieve 15–25% below list pricing.
Large deployments (200+ GB, Redis Cloud Ultimate or Redis Enterprise Software with advanced modules):
Monthly costs typically range from $8,000 to $30,000+, depending on the number of regions, modules, and throughput requirements. Multi-year commitments and competitive leverage commonly yield 20–35% off list pricing.
Discounting patterns:
Vendr data shows that buyers negotiating multi-year commitments, annual prepay, and volume-based pricing often secure 15–30% below list pricing. Competitive pressure from AWS ElastiCache, Azure Cache for Redis, and open-source Redis deployments can drive additional concessions.
Benchmarking context: Vendr's pricing benchmarks provide percentile-based pricing for Redis Labs across deployment models, memory tiers, and contract structures, helping buyers assess whether a given quote reflects typical market outcomes for similar scope.
Negotiating Redis Labs pricing requires understanding the supplier's pricing model, identifying leverage points, and anchoring to realistic market benchmarks. These strategies are based on anonymized Redis Labs deals in Vendr's dataset and reflect tactics that have driven better outcomes for buyers.
Redis Labs pricing is more flexible when buyers engage early in the sales cycle and establish competitive evaluation. Mentioning alternatives like AWS ElastiCache, Azure Cache for Redis, or open-source Redis deployments signals that pricing will be a key decision factor.
Vendr data shows that buyers who introduce competitive context early in the process often achieve 15–25% better pricing than those who negotiate only after selecting Redis Labs.
Competitive benchmarks: Compare Redis Labs pricing with alternatives to understand how Redis Labs pricing compares to AWS ElastiCache, Azure Cache for Redis, and other in-memory data stores for similar requirements.
Redis Labs sales teams are trained to maximize contract value, but they also have flexibility to discount when buyers anchor to realistic budget constraints. Framing the negotiation around internal approval thresholds (e.g., "Our budget for this is $X, and anything above that requires executive approval") creates pressure to meet your target.
Based on Vendr transaction data, buyers who anchor to budget constraints early in the negotiation process often secure 10–20% better pricing than those who accept initial quotes.
Redis Labs offers significant discounts for multi-year commitments (typically 15–30% off list pricing), but buyers should evaluate renewal flexibility and annual price escalation clauses carefully. Negotiate flat pricing for the full term or cap annual increases at 3–5%.
Vendr data shows that buyers who negotiate multi-year commitments with flat pricing or capped escalation often achieve 20–30% better total cost of ownership than those who accept standard annual increases.
Redis Labs pricing scales with memory capacity and throughput, so buyers should right-size allocations based on actual usage patterns. Avoid over-provisioning by modeling expected workloads and configuring autoscaling where available.
Negotiation guidance: Vendr's Redis Labs negotiation playbook provides supplier-specific tactics for right-sizing deployments and negotiating volume-based pricing.
Redis Cloud charges for data transfer between regions and out to the internet, which can significantly increase total cost for high-traffic applications. Buyers should negotiate caps on egress fees or discounts on data transfer rates, particularly for multi-region deployments.
Vendr data shows that buyers who negotiate data transfer caps or discounts often reduce total cost by 10–15% for high-egress workloads.
Redis Labs sales teams face quarterly and annual quotas, creating leverage for buyers who time negotiations strategically. Engaging 60–90 days before renewal or quarter-end increases the likelihood of concessions.
Based on Vendr transaction data, buyers who negotiate near quarter-end or year-end often achieve 10–20% better pricing than those who negotiate mid-quarter.
Redis Labs often bundles professional services (migration, architecture review, performance optimization) into initial quotes. Buyers should clarify what is included in the base subscription and negotiate professional services separately to avoid inflated contract values.
Negotiation guidance: Vendr's negotiation tools help buyers identify which services are typically included and where to push back on unnecessary add-ons.
These insights are based on anonymized Redis Labs deals in Vendr's dataset across a wide range of company sizes and contract structures. Buyers can explore these insights directly using Vendr's free pricing and negotiation tools:
Redis Labs competes primarily with cloud-native managed Redis services (AWS ElastiCache, Azure Cache for Redis, Google Cloud Memorystore) and open-source Redis deployments. Pricing and total cost of ownership vary significantly based on deployment model, memory capacity, and feature requirements.
| Pricing component | Redis Labs | AWS ElastiCache for Redis |
|---|---|---|
| Base pricing model | Per GB-hour (Redis Cloud) or annual subscription (Redis Enterprise Software) | Per node-hour based on instance type |
| Typical monthly cost (50 GB, high availability) | $1,500–$3,500 | $800–$2,000 |
| Advanced modules (search, JSON, graph) | Included in premium tiers or priced separately | Not available (requires third-party solutions) |
| Data transfer/egress | Charged per GB; negotiable caps | Charged per GB; standard AWS rates |
| Multi-region active-active | Available in Redis Cloud Ultimate | Requires Global Datastore (additional cost) |
Benchmarking context: Compare Redis Labs and AWS ElastiCache pricing to see percentile-based benchmarks for similar memory and throughput configurations.
| Pricing component | Redis Labs | Azure Cache for Redis |
|---|---|---|
| Base pricing model | Per GB-hour (Redis Cloud) or annual subscription (Redis Enterprise Software) | Per node-hour based on tier (Basic, Standard, Premium, Enterprise) |
| Typical monthly cost (50 GB, high availability) | $1,500–$3,500 | $1,000–$2,500 |
| Advanced modules (search, JSON, graph) | Included in premium tiers or priced separately | Available in Enterprise tier (powered by Redis Labs) |
| Data transfer/egress | Charged per GB; negotiable caps | Charged per GB; standard Azure rates |
| Multi-region active-active | Available in Redis Cloud Ultimate | Available in Enterprise tier (additional cost) |
Benchmarking context: Compare Redis Labs and Azure Cache for Redis pricing to see percentile-based benchmarks for similar memory and throughput configurations.
| Pricing component | Redis Labs | Google Cloud Memorystore for Redis |
|---|---|---|
| Base pricing model | Per GB-hour (Redis Cloud) or annual subscription (Redis Enterprise Software) | Per GB-hour based on tier (Basic, Standard) |
| Typical monthly cost (50 GB, high availability) | $1,500–$3,500 | $900–$2,200 |
| Advanced modules (search, JSON, graph) | Included in premium tiers or priced separately | Not available |
| Data transfer/egress | Charged per GB; negotiable caps | Charged per GB; standard GCP rates |
| Multi-region active-active | Available in Redis Cloud Ultimate | Not available |
Benchmarking context: Compare Redis Labs and Google Cloud Memorystore pricing to see percentile-based benchmarks for similar memory and throughput configurations.
| Pricing component | Redis Labs | Open-Source Redis |
|---|---|---|
| Base pricing model | Per GB-hour (Redis Cloud) or annual subscription (Redis Enterprise Software) | Free (infrastructure and operational costs only) |
| Typical monthly cost (50 GB, high availability) | $1,500–$3,500 | $500–$1,500 (infrastructure + DevOps labor) |
| Advanced modules (search, JSON, graph) | Included in premium tiers or priced separately | Available as open-source modules (RedisSearch, RedisJSON, etc.) |
| Support and SLAs | Included (standard or premium tiers) | Community support only (unless self-managed) |
| Operational overhead | Fully managed (Redis Cloud) or vendor-supported (Redis Enterprise Software) | Requires internal DevOps resources for deployment, scaling, monitoring, and maintenance |
Benchmarking context: Compare Redis Labs and open-source Redis total cost of ownership to see percentile-based benchmarks for similar memory and throughput configurations, including infrastructure and labor costs.
Based on anonymized Redis Labs transactions in Vendr's platform over the past 12 months:
Negotiation guidance: Vendr's Redis Labs negotiation playbook provides supplier-specific tactics for maximizing discounts based on deal type, timing, and competitive context.
Based on Redis Labs transactions in Vendr's database over the past 12 months:
Benchmarking context: See what similar companies pay for Redis Labs to understand percentile-based benchmarks and identify negotiation opportunities.
Redis Labs contracts are typically structured as one-year or three-year terms. One-year terms offer more flexibility but typically yield smaller discounts (10–20% off list). Three-year terms offer larger discounts (20–30% off list) but reduce renewal flexibility.
Based on Vendr transaction data:
Negotiation guidance: Vendr's Redis Labs negotiation tools help buyers evaluate contract term trade-offs and negotiate optimal terms based on renewal flexibility and cost savings.
Yes. Beyond base subscription or consumption fees, Redis Labs deployments often incur additional costs:
Based on anonymized Redis Labs transactions in Vendr's platform:
Benchmarking context: Vendr's pricing benchmarks include total cost of ownership analysis, helping buyers identify and budget for hidden costs.
Based on Redis Labs transactions in Vendr's database:
Negotiation guidance: Vendr's Redis Labs negotiation playbook provides supplier-specific timing tactics and quarter-end leverage strategies by deal type.
Based on anonymized transactions in Vendr's platform over the past 12 months:
Competitive benchmarks: Compare Redis Labs and AWS ElastiCache pricing to see percentile-based benchmarks for similar memory and throughput configurations.
Redis Cloud is a fully managed SaaS offering, hosted and operated by Redis Labs on AWS, GCP, or Azure. Pricing is consumption-based (per GB-hour), and Redis Labs handles all infrastructure, scaling, monitoring, and maintenance.
Redis Enterprise Software is a self-hosted deployment option, licensed annually based on total memory capacity or shard count. Buyers deploy and operate Redis Enterprise Software on their own infrastructure (on-premises, private cloud, or public cloud), with vendor support included.
Redis Cloud is typically more expensive per GB but eliminates operational overhead. Redis Enterprise Software offers lower per-GB pricing but requires internal DevOps resources.
Redis Labs offers several advanced modules that extend Redis functionality:
These modules are included in Redis Cloud Ultimate and Redis Enterprise Software, or priced separately for lower tiers.
Yes. Redis Labs offers active-active geo-replication in Redis Cloud Ultimate and Redis Enterprise Software. This feature enables low-latency reads and writes across multiple regions with conflict-free replicated data types (CRDTs).
Active-active replication significantly increases infrastructure and data transfer costs. Buyers should evaluate whether active-active is required or whether active-passive failover meets availability needs at lower cost.
Redis Labs offers two primary support tiers:
Buyers should evaluate whether premium support is necessary based on internal DevOps capabilities and application criticality.
Based on analysis of anonymized Redis Labs deals in Vendr's dataset, buyers who prepare carefully and evaluate alternatives often secure meaningfully better pricing. Recent data from Vendr shows that buyers who introduce competitive context, anchor to budget constraints, and negotiate multi-year commitments typically achieve 15–30% below list pricing.
Key takeaways:
Regardless of platform choice, the most important step is clearly defining requirements, understanding total cost drivers, and benchmarking pricing against comparable deals before committing.
Vendr's pricing and negotiation tools analyze anonymized transaction data to surface percentile-based benchmarks, competitive comparisons, and observed negotiation patterns, helping buyers assess how a given Redis Labs quote compares to recent market outcomes for similar scope.
This guide is updated regularly to reflect recent Redis Labs pricing and negotiation trends. Consider revisiting it ahead of any new purchase or renewal to account for changing market conditions. Last updated: February 2026.