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 PostgreSQL-native cloud database built on its own TimescaleDB extension, targeting high-volume time series, real-time analytics, and vector workloads. The stack is tightly focused—PostgreSQL, C/C++, Kubernetes, and cloud primitives (AWS, Azure)—with no visible adoption of new databases or frameworks, indicating engineering discipline around a single product. Projects and pain points cluster around database feature depth (hypertables, compression, continuous aggregates) and operational scaling (CI/CD, cloud infrastructure, release automation), signaling a product-focused org optimizing for performance and reliability rather than breadth.

Tech Stack 24 technologies

Core StackPostgreSQL TimescaleDB Kubernetes AWS GitHub Actions Python Go Linux Salesforce HubSpot Marketo gRPC GraphQL C/C++ C SQL Azure PL/pgSQL Timescale Outreach LinkedIn

What Tiger Data (creators of TimescaleDB) Is Building

◆Challenges

Performance tuning
Troubleshooting cloud infrastructure
Complex sales engagements
Optimising complex analytical queries
Operational excellence for cloud database platform
Automating release processes
Improving ci/cd pipelines
Robust testing infrastructure
Migrating legacy databases
Improving adoption

▲Active Projects

Cross-functional go-to-market coordination
New database capabilities
Strategic account plans
Implement database solutions with timescaledb features
Test new database features related to timescaledb or agentic postgresql
Cs system design
Cs playbook automation
Implement timescaledb hypertables
Implement compression strategies
Implement continuous aggregates

Hiring Activity

Steady25 roles · 8 in 30d

Department

Engineering

Support

Sales

Marketing

Seniority

Senior

Mid

Junior

Manager

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About Tiger Data (creators of TimescaleDB)

Tiger Data builds a managed PostgreSQL cloud platform with native support for time series, real-time analytics, and vector search. The company maintains TimescaleDB, an open-source PostgreSQL extension that adds horizontal scalability and specialized indexing for high-cardinality time-series data. It serves engineering and operations teams at enterprises in manufacturing, finance, utilities, logistics, space, and ad tech—industries where mission-critical applications depend on fast ingest and complex analytical queries. The 51–200-person team is engineering-heavy with active customer support and sales operations, headquartered in New York and distributed across five countries.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2015

Hiring MarketsIreland, United States, Brazil, Bulgaria, India

Frequently Asked Questions

What is TimescaleDB and how does it relate to Tiger Data?

TimescaleDB is an open-source PostgreSQL extension created by Tiger Data that adds time-series and real-time analytics capabilities to PostgreSQL. Tiger Data offers a managed PostgreSQL cloud platform built on TimescaleDB, optimized for fast data ingest and complex queries.

What tech stack does Tiger Data use?

Tiger Data's core stack is PostgreSQL and TimescaleDB (C/C++), with Kubernetes for orchestration, AWS and Azure for cloud infrastructure, and Python and Go for tooling. Sales and marketing systems include Salesforce, HubSpot, Marketo, and Outreach.

Where is Tiger Data hiring and in what roles?

Tiger Data has 23 active roles across engineering, support, sales, and marketing. It is hiring in the United States, Ireland, Brazil, Bulgaria, and India, with a focus on senior-level positions (10 open) and mid-level engineers.