Tiger Data (creators of TimescaleDB) Tech Stack

PostgreSQL cloud platform optimized for time-series and real-time analytics

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

Tiger Data operates a managed PostgreSQL cloud service purpose-built for time-series, real-time analytics, and vector workloads. The stack is tightly integrated around PostgreSQL and TimescaleDB (their open-source extension), with Go and Rust for performance-critical services and Kubernetes for orchestration. Hiring is engineering-forward (5 roles) with equal emphasis on customer success (5 support roles), suggesting the company is scaling both product velocity and customer retention — directly aligned with their stated pain-point focus on churn reduction, adoption, and complex migrations.

Tech Stack 33 technologies

Core StackPostgreSQL TimescaleDB Kubernetes AWS Go Python JavaScript Salesforce HubSpot Zoom Grafana gRPC Rust Helm Cursor Marketo GraphQL C/C++ Azure PL/pgSQL Timescale GCP Bedrock Outreach Protocol Buffers Ghost Codex LangGraph Vercel AI SDK Discord

AdoptingAWS

What Tiger Data (creators of TimescaleDB) Is Building

◆Challenges

Manual gtm processes
Complex sales engagements
Optimising complex analytical queries
Customer migrations
Reducing churn risk
Improving adoption
Operational excellence for cloud database platform
Performance issues for cloud customers
Longer sales cycles
Network issues

▲Active Projects

New database capabilities
Performance tuning
Implement database solutions with timescaledb features
Test new database features related to timescaledb or agentic postgresql
Cs system design
Cs playbook automation
Cloud database experience
Operational excellence for postgres/timescale fleet
Enterprise account expansion
Database technical roadmap

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering

Support

Sales

Product

Ops

Security

Seniority

Senior

Mid

Lead

Manager

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About Tiger Data (creators of TimescaleDB)

Tiger Data is a managed PostgreSQL cloud platform built on TimescaleDB, an open-source extension that adds time-series and real-time analytics capabilities to PostgreSQL. The company serves enterprises across industrial operations, financial risk management, monitoring, operational data warehousing, geospatial tracking, and ad tech. Customers adopt Tiger Data to handle high-velocity data ingest and complex analytical queries without abandoning SQL or relational semantics. The 51–200 person team is based in New York with engineering hiring across the United States, India, Brazil, and Bulgaria.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States, India, Brazil, Bulgaria

Frequently Asked Questions

What is Tiger Data's tech stack?

Core: PostgreSQL, TimescaleDB, Kubernetes, AWS, and Azure. Services: Go, Rust, C/C++, gRPC. Sales/ops: Salesforce, HubSpot, Outreach. The stack reflects a database-first company with infrastructure maturity.

What databases does Tiger Data replace?

No specific replacement data is available in hiring records. The product targets workloads typically fragmented across relational (PostgreSQL) and NoSQL systems (for scale), aiming to consolidate both on a single PostgreSQL platform.

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How this profile is built

Tiger Data (creators of TimescaleDB)'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.