Tiger Data (creators of TimescaleDB)
Tiger Data builds a PostgreSQL-native data platform for time-series, analytics, and AI workloads, offering open-source TimescaleDB alongside managed cloud, self-managed enterprise, and agent-focused database services. It serves more than 3,000 customers across industrial, energy, healthcare, and AI/ML segments.
- Company typePrivate
- Founded2017
- HeadquartersNew York, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Tiger Data (creators of TimescaleDB) does
Tiger Data (formerly Timescale) is a New York-based, venture-backed private company that builds a PostgreSQL-native data platform for time-series, analytics, and AI workloads. The company's core technology is TimescaleDB, an open-source time-series database extension that adds automatic partitioning via Hypertables, a hybrid row-columnar storage engine called Hypercore (delivering 10x-40x query speedups versus standard PostgreSQL with 95% compression savings), tiered storage between SSD and Amazon S3, and 200+ specialized time-series SQL functions. Tiger Data's commercial product portfolio spans three deployment models: Tiger Cloud, a fully managed subscription platform deployed on AWS and Azure with consumption-based pricing; TimescaleDB Enterprise, a self-managed commercially licensed product for on-premises, edge, and private cloud environments targeting regulated industrial customers; and TimescaleDB, the open-source database that underpins the community of more than 2 million active databases.
The company monetizes through a mix of freemium self-serve onboarding, managed cloud subscriptions, commercial enterprise licensing, and usage-based pricing for the Ghost AI-agent database service. Its go-to-market combines product-led growth for developers and SMBs, community-led open-source distribution, and direct enterprise field sales for industrial, energy, oil and gas, and defense customers. Strategic partnerships with AWS (Marketplace, S3 Tables, Strategic Collaboration Agreement), Inductive Automation (Gold Technology Provider in the Ignition ecosystem), and Chainguard (Commercial Builds) extend reach into cloud procurement and industrial automation channels. Tiger Data has raised approximately $180 million in total funding, achieved unicorn status with a Series C valuation above $1 billion in 2022, and serves more than 3,000 customers across industrial, energy, healthcare, finance, IoT, and AI/ML segments.
Tiger Data (creators of TimescaleDB) firmographics
Firmographics- Name
- Tiger Data (creators of TimescaleDB)
- Legal name
- Timescale, Inc.
- Website
- https://tigerdata.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Tiger Data builds a PostgreSQL-native data platform for time-series, analytics, and AI workloads, offering open-source TimescaleDB alongside managed cloud, self-managed enterprise, and agent-focused database services. It serves more than 3,000 customers across industrial, energy, healthcare, and AI/ML segments.
- Ownership category
- akta.pro rank
Tiger Data (creators of TimescaleDB) industry classification
Industry- Product category
- Time-Series Database Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Time-Series Databases (HDAEAAAF)
- akta.pro secondary industries
- Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Data Lake Platforms (HDAEABAC), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Tiger Data (creators of TimescaleDB) is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Tiger Data (creators of TimescaleDB) business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales
Revenue model
- Tiger Cloud (Managed Database Platform): Subscription-based managed cloud platform for time-series, analytics and AI workloads. Provides consumption-based pricing for compute and storage with tiered service levels.
- TimescaleDB Enterprise: Self-managed TimescaleDB for on-premises, edge and private cloud environments with commercial licensing for industrial and regulated organizations
- Ghost Database Service: Managed PostgreSQL service for AI agents with pricing based on active compute usage rather than per-database licensing
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier available for evaluation and small workloads |
| Subscription | Monthly | Subscription plans with consumption-based compute and storage |
| Usage-based | Pay-as-you-go | Ghost service priced based on active compute usage |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels5 records
Tiger Data (creators of TimescaleDB) product offering
Product offeringCore offering
Tiger Data develops and offers a PostgreSQL-based time-series database platform. Its flagship open-source product TimescaleDB extends PostgreSQL with time-series capabilities, while Tiger Cloud provides a fully managed cloud deployment. TimescaleDB Enterprise serves on-premises enterprise needs, and Ghost delivers managed PostgreSQL optimized for AI agent workloads.
Product overview
Tiger Data (formerly Timescale) offers a unified PostgreSQL platform for time-series, analytics, and AI workloads. The product portfolio includes three main deployment options: Tiger Cloud (fully managed cloud platform on AWS and Azure), TimescaleDB Enterprise (self-managed for on-premises and edge deployments), and TimescaleDB (open-source database). Additional offerings include Search (vector and keyword search via pg_textsearch), Tiger Lake (lakehouse integration bridging PostgreSQL with Amazon S3/Iceberg), and Ghost (AI agent-focused database service). The platform is built on PostgreSQL with proprietary extensions including hypertables, hypercore (row-columnar storage), and 200+ hyperfunctions for time-series analytics.
Differentiator
Problem solved
Functional benefit
Products and services
- Tiger Cloud Fully managed cloud version of TimescaleDB providing automated provisioning, tiered storage, scaling, and observability for developers and businesses building time-series applications.
- TimescaleDB (Open Source) Open-source time-series database extension for PostgreSQL that turns PostgreSQL into a high-performance time-series and analytics database via hypertables and hyperfunctions.
- TimescaleDB Enterprise Commercially licensed, self-managed deployment of TimescaleDB for large enterprises requiring on-premises installation, advanced security controls, and dedicated support.
- Ghost Managed PostgreSQL service optimized for AI agent use cases, enabling fast forking to spin up isolated database copies for concurrent agent execution at scale.
- Postgres Search Stack Integrated hybrid search capability combining lexical, semantic, and vector search on PostgreSQL, enabling retrieval-augmented generation and AI search workloads on Tiger Cloud.
Quantifiable outcome
- 10x-40x faster queries with Hypercore compared to standard PostgreSQL
- +4 more outcomes
Companies that use Tiger Data (creators of TimescaleDB)
Customer profileNamed customers7 records
Segments5 records
Ideal customer profiles3 records
Tiger Data (creators of TimescaleDB) technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability7 records
Feature7 records
Tiger Data (creators of TimescaleDB) partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- Inductive AutomationcoreStrategic alliance announced at Hannover Messe 2026 to modernize industrial historian market. Combines Inductive Automation's Ignition industrial application platform with Tiger Data's TimescaleDB Enterprise and Tiger Cloud for time-series data infrastructure in manufacturing, energy, and oil and gas sectors. Joint technical content, webinars, and best-practice documentation planned.
- Amazon S3 TablescoreTiger Data announced support for Amazon S3 Tables through Tiger Lake capability, enabling unified architecture bridging operational PostgreSQL with open lakehouse systems and bidirectional Iceberg replication.
- Amazon Web Services (AWS)coreStrategic Collaboration Agreement between Tiger Data and AWS. Tiger Cloud available on AWS Marketplace. Native support for Amazon S3 Tables through Tiger Lake architecture enabling unified PostgreSQL and lakehouse integration.
Scale indicators8 records
Recent moves7 records
Expansion highlights7 records
Tiger Data (creators of TimescaleDB) competitors and assessment
Company assessmentDirect peers
- InfluxData: Creator of InfluxDB, the most prominent open-source time-series database. Direct competitor to TimescaleDB with a similar PLG/open-source motion, serving the same IoT, industrial, and monitoring use cases.
- ClickHouse: Open-source columnar OLAP database increasingly used for time-series and analytical workloads. Competes with Tiger Data's Hypercore engine on query performance for large-scale analytical queries.
- QuestDB: Open-source time-series database purpose-built for fast ingest and SQL analytics. Competes directly with TimescaleDB in the developer-focused, self-managed time-series market.
- Supabase: Open-source Firebase alternative built on PostgreSQL with a developer-first PLG motion. Competes for the same Postgres developer mindshare and offers managed Postgres with similar consumption-based pricing.
- Neon: Serverless managed PostgreSQL with branching/forking technology. Directly comparable to Tiger Cloud's Ghost product for AI agent use cases and competes in the modern managed Postgres category.
Broad incumbents
- AWS Timestream: Amazon's fully managed time-series database service. Hyperscaler incumbent competing directly with Tiger Cloud for cloud-native time-series workloads, with bundling and distribution advantages through AWS Marketplace.
- Snowflake: Cloud data platform that increasingly addresses time-series and analytical workloads. Competes for the same analytical Postgres customer base, especially as Tiger Lake bridges into the lakehouse space Snowflake dominates.
- MongoDB: General-purpose document database that has expanded into time-series collections and Atlas cloud services. Competes for application database workloads where time-series is one of several requirements.
- Datadog: Cloud monitoring and observability platform that ingests and queries time-series data at scale. Adjacent competitor for monitoring and observability use cases where Datadog's bundled platform competes with Tiger Data's PostgreSQL-centric approach.
Emerging players
- Crunchy Data: Enterprise PostgreSQL provider offering managed Postgres and PostGIS services. Competes in the enterprise Postgres space, particularly for on-premises and hybrid deployments with regulated customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Tiger Data (creators of TimescaleDB) social profiles
Digital presenceTiger Data (creators of TimescaleDB) compliance and trust
Trust signalCompliance3 records
Tiger Data (creators of TimescaleDB) financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tiger Data (creators of TimescaleDB) leadership team
Management profileNumber of profiles
Profiles10 records
Tiger Data (creators of TimescaleDB) funding detail
Funding detailFunding overview
Funding rounds6 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tiger Data (creators of TimescaleDB) M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tiger Data (creators of TimescaleDB)
What does Tiger Data (creators of TimescaleDB) do?
Tiger Data develops and offers a PostgreSQL-based time-series database platform. Its flagship open-source product TimescaleDB extends PostgreSQL with time-series capabilities, while Tiger Cloud provides a fully managed cloud deployment. TimescaleDB Enterprise serves on-premises enterprise needs, and Ghost delivers managed PostgreSQL optimized for AI agent workloads.
Is Tiger Data (creators of TimescaleDB) a public or private company?
Tiger Data (creators of TimescaleDB) is a private company. It is classified as venture growth investor backed and is currently operating.
When was Tiger Data (creators of TimescaleDB) founded?
Tiger Data (creators of TimescaleDB) was founded in 2017. It employs 101 to 250 people.
Where is Tiger Data (creators of TimescaleDB) based?
Tiger Data (creators of TimescaleDB) is headquartered in New York, United States, in the North America region.
How does Tiger Data (creators of TimescaleDB) make money?
Three revenue lines are on record. Tiger Cloud (Managed Database Platform) is the primary driver. The others are timescaleDB Enterprise and ghost Database Service.
Who are Tiger Data (creators of TimescaleDB)'s main competitors?
Direct peers on record are InfluxData, ClickHouse, QuestDB, Supabase and Neon. Broad incumbents are AWS Timestream, Snowflake, MongoDB and Datadog. Crunchy Data is listed as an emerging player.
Does Tiger Data (creators of TimescaleDB) have an API?
Yes. Tiger Data (creators of TimescaleDB) exposes a public API. Developer documentation is at www.tigerdata.com/docs/reference/tiger-cloud-rest.
What industry is Tiger Data (creators of TimescaleDB) in?
Tiger Data (creators of TimescaleDB)'s product category is Time-Series Database Platform. Its primary akta.pro industry code is HDAEAAAF, Time-Series Databases, with a secondary code of HDAEAAAN, Database-as-a-Service (DBaaS) Platforms. Its NAICS code is 51821 and its SIC code is 7372.