Timescale Tech Stack

PostgreSQL-native time-series database for analytics and observability

Software Development New York, New York 51–200 employees Founded 2015 Privately Held

Timescale is a PostgreSQL-based time-series database company operating at the infrastructure layer, with an engineering-heavy org (12 of 17 internal roles) focused on database performance, Kubernetes operators, and observability. Their active project mix—performance testing, hypertables, compression, cloud deployment reliability—combined with pain points around query optimization and fleet observability reveal a company scaling toward operational maturity in cloud delivery, not chasing new features.

Tech Stack 31 technologies

Core StackPostgreSQL TimescaleDB Kubernetes AWS C++ Go gRPC Rust Helm Cursor Python Salesforce HubSpot Marketo GraphQL Valgrind Coverity pprof Azure PL/pgSQL GCP Protocol Buffers controller-runtime Ghost Codex LangGraph Vercel AI SDK Discord C/C++ Outreach+1 more

What Timescale Is Building

◆Challenges

Optimising complex analytical queries
Troubleshooting cloud infrastructure issues
Scaling cs operations
Scaling database performance
Optimizing query and storage
Ensuring database correctness
Improving database correctness testing
Operational excellence for cloud database platform
Performance issues for cloud customers
Observability for fleet of instances

▲Active Projects

Improve performance testing infrastructure
New database capabilities
Implement timescaledb hypertables and compression strategies
Test new timescaledb features
Kubernetes controllers and operators development
Deployment reliability improvement
Observability and monitoring enhancement
Ai-assisted development risk investigation
Ai workflow optimization
Analytics

Hiring Activity

Accelerating20 roles · 9 in 30d

Department

Engineering

Support

Product

Security

Seniority

Senior

Mid

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About Timescale

Timescale develops TimescaleDB, an open-source time-series database built on PostgreSQL that combines SQL's relational power with NoSQL-style horizontal scalability. The platform targets engineering teams and data operations at enterprises running mission-critical workloads in manufacturing, finance, utilities, oil & gas, telecom, and ad tech—where fast data ingest and complex analytical queries drive operational decisions. The product is deployed across industrial monitoring, financial risk management, geospatial tracking, and observability use cases. The company operates with a 51–200-person team headquartered in New York, engineering-led and distributed across the US, Germany, India, and Brazil.

HeadquartersNew York, New York

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States, Germany, India, Brazil

Frequently Asked Questions

What tech stack does Timescale use?

PostgreSQL, TimescaleDB, Kubernetes, AWS, Azure, GCP, Go, Rust, C++, Helm, gRPC, and Protocol Buffers. Sales and marketing run on Salesforce, HubSpot, and Marketo.

What is Timescale working on?

Performance testing infrastructure, new database capabilities, TimescaleDB hypertables and compression, Kubernetes operators, cloud deployment reliability, and fleet observability for managed instances.

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How this profile is built

Timescale's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.