Upstash
Upstash is a serverless data platform providing low-latency, high-scalability data services for developers building real-time applications without managing infrastructure. The company focuses on creating the best possible developer experience with a fully serverless model, per-request pricing, and automatic scaling.
At a Glance
- Developers building serverless applications
- Edge computing platforms (Cloudflare Workers, Fastly, Vercel Edge)
- AI/ML developers working with LLMs and embeddings
- Multi-region serverless architectures
- +8 more
AI Tools by Upstash
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Products & Services
A serverless, Redis-compatible key-value store with global low latency, automatic scaling, and durable persistent storage. Features include 99.99% uptime guarantee, multi-region replication, automatic backups, and in-memory speed with disk-like persistence.
A serverless vector database purpose-built for vector operations, designed for AI and LLM applications. Uses DiskANN and FreshDiskANN for performance at scale and cost efficiency. Supports high-dimensional vector embeddings on a serverless model.
A messaging queue and task scheduling solution for serverless environments. Features include message delivery guarantees, scheduling, automatic retries, dead letter queues (DLQ), and support for HTTP callbacks.
A serverless workflow engine built on QStash that enables writing durable and reliable serverless functions. Features orchestration with auto-retry, cost efficiency by scheduling functions without execution charges, extended execution times for HTTP requests, and a visual dashboard for debugging.
Market Position
Upstash positions itself as the truly serverless alternative to traditional managed database solutions like AWS ElastiCache, Redis Enterprise, Confluent Cloud, and AWS MSK. Key differentiators include: (1) True serverless with pay-per-request pricing and scale-to-zero capability, eliminating the need to manage instance sizes or pay for idle capacity; (2) Edge-first architecture optimized for serverless platforms like Vercel, Cloudflare Workers, and Fastly; (3) REST API access making it compatible with edge environments that don't support persistent connections; (4) Developer experience focus with simple setup and SDKs; (5) Global low-latency through multi-region replication; (6) Cost efficiency compared to traditional providers that charge hundreds of dollars monthly for basic setups. The company emphasizes that competitors like AWS MSK and Confluent Cloud are not truly serverless despite their claims.
Leadership
Founders
Enes Akar
CEO and Co-founder. Previously CTO at Hazelcast Cloud (2017-2020), VP of Engineering at Hazelcast (2014-2017), Co-founder at Hazelcast (2011-2014), Engineering Leader at Confluent (2020), and various engineering roles at Ericsson and Alcatel-Lucent. Over 10 years of experience in distributed systems, serverless, edge, and cloud computing. Based in Palo Alto/Silicon Valley.
Mehmet Dogan
CTO & Software Architect. Previously Distinguished Engineer at Hazelcast (2014-2020), Chief Software Architect at Hazelcast (2011-2014), and Software Engineer at Layer (2020-2021). Extensive experience in distributed systems, databases, big data, and scalability. Based in Ankara, Turkey.
Bilal
Co-founder with deep understanding of developer needs and distributed systems experience. Limited public information available about specific background.
Executive Team
Enes Akar
CEO and Co-founder
Previously CTO at Hazelcast Cloud, VP of Engineering at Hazelcast, Co-founder at Hazelcast, and Engineering Leader at Confluent. Over 10 years of experience in distributed systems and cloud computing. Based in Palo Alto, California.
Mehmet Dogan
CTO & Software Architect
Previously Distinguished Engineer at Hazelcast and Chief Software Architect at Hazelcast. Expertise in distributed systems, databases, and scalability. Based in Ankara, Turkey.
Board of Directors
Founding Story
The founders (Enes, Mehmet, and Bilal), who are also developers themselves, felt the frustration of using tools that offer a poor developer experience. They realized the importance of a robust cloud offering and a data platform that can scale and support multiple use cases. They started Upstash as a small team with the goal of creating the best possible developer experience for anyone using their tools, eliminating the need to deploy and maintain databases yourself.
Business Model
Revenue Model
Consumption-based pricing model with pay-as-you-go per-request pricing. Users don't pay until data starts moving through the system. Also offers fixed pricing plans for predictable costs and enterprise plans for advanced needs. Revenue streams include: API usage charges (per-command/per-request), database storage fees, fixed monthly subscriptions, and enterprise contracts.
Pricing Tiers
256MB data, 500K commands/month, 10K commands/sec, 10GB bandwidth
100GB data, unlimited bandwidth, $0.25/GB storage
Multiple tiers: 250MB ($10), 1GB, 5GB, 10GB, 50GB, 100GB, 500GB ($280). No per-command pricing.
100K+ commands/sec, unlimited bandwidth, professional support with SLA, dedicated resources, HIPAA compliance
10K daily queries/updates, 200M max vectors×dimensions, 1,536 max dimensions
Unlimited daily queries, 2B max vectors×dimensions, 3,072 max dimensions, $0.25/GB storage
1M daily queries/updates, 2B max vectors×dimensions
1K messages/day, 50GB bandwidth, 1MB max message size
Unlimited messages, 50GB bandwidth, 10MB max message size
1M messages/day, 1TB bandwidth, 50MB max message size
10M messages/day, 5TB bandwidth
1K steps/day, 50GB bandwidth, 1,000 max steps per run
Unlimited steps, 50GB bandwidth
1M steps/day, 1TB bandwidth
20K monthly queries, 200K max documents
Unlimited queries, 2M max documents, $0.1/1K docs/month storage, $1/1K reranking requests
Uptime SLA, RBAC, Encryption at Rest, SOC-2, Prometheus, Datadog
Target Markets
- Developers building serverless applications
- Edge computing platforms (Cloudflare Workers, Fastly, Vercel Edge)
- AI/ML developers working with LLMs and embeddings
- Multi-region serverless architectures
- Startups and scale-ups requiring scalable data infrastructure
- Enterprise businesses with serverless needs
- Caching (general and session caching)
- Session management
- Rate limiting
- Leaderboards
- Chat applications
- Edge functions (Cloudflare Workers, Fastly Compute)
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