Tiger Data
PostgreSQL platform for time-series, analytics, search and enterprise data infrastructure.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Timescale, Inc.
- Entity type
- COMPANY
- Founded
- 2015
- Headquarters
- United States
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- tigerdata.com
What Tiger Data does
Tiger Data uses an open-core database infrastructure model. Open-source TimescaleDB drives developer adoption and PostgreSQL ecosystem compatibility, while Tiger Cloud converts production workloads into recurring consumption revenue. The company also sells commercially licenced, self-managed TimescaleDB Enterprise deployments, support and operational services to organisations that require on-premises, private-cloud, edge or air-gapped infrastructure. The 2024 PopSQL acquisition expanded its developer workflow and SQL collaboration capabilities around the core PostgreSQL platform.
Category differentiation
Tiger Data is a PostgreSQL database infrastructure company, not a media company, analytics consultancy or generic cloud data warehouse. Its legal entity remains Timescale, Inc.; Tiger Data is the active trading name introduced in 2025.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Tiger Data is the trading name of Timescale, Inc., a private US software company providing PostgreSQL-based database infrastructure for time-series, real-time analytics, operational application data and integrated search. Its portfolio includes the managed Tiger Cloud service, open-source TimescaleDB, commercially licenced TimescaleDB Enterprise for customer-managed deployments, and a PostgreSQL-native keyword, vector and hybrid search stack. The company sells primarily to developers, software companies, data engineering teams, industrial organisations and regulated enterprises. It generates revenue from usage-based managed-cloud consumption, enterprise software licences, paid support and enterprise contractual arrangements. Its architecture enables customers to retain operational, analytical and search workloads within PostgreSQL rather than operating separate database and search systems.
Business model & monetisation
Tiger Data monetises Tiger Cloud through usage-based cloud subscriptions, with hourly billing for configured compute and consumption-based storage charges. Published entry pricing starts at $30 per month for compute, while Enterprise plans are sold through sales engagement. TimescaleDB is distributed as open-source software to support adoption; TimescaleDB Enterprise is commercially licenced for self-managed deployments. Paid support plans, enterprise operational controls and contractual services provide additional recurring enterprise revenue.
- Tiger Cloud managed PostgreSQL consumption
- Usage-based compute and storage billing
- TimescaleDB Enterprise
- Commercial software subscription and enterprise licensing
- Paid support and enterprise operational services
- Service Fee
- Open-source TimescaleDB
- Product-led acquisition channel supporting cloud and enterprise conversion
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Technology
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Configure LiteLLM as Codex Model Provider
Large Language Models (LLM) & AI · Recorded impact score: 1/5
A developer guide demonstrating how to route Codex to use LiteLLM as a custom model provider. The post explains exposing a LiteLLM API key as an OS environment variable, updating Codex's .codex/config.toml to set model_provider to 'litellm' and add provider-specific fields (base_url, env_key, wire_api, streaming options), setting optional custom HTTP headers, and noting that session models are fixed at session creation. The author also advises verifying usage via LiteLLM dashboard logs and links to LiteLLM and Codex documentation for reference.
- Author Julia Shevchenko published a how-to on dev.to on 2026-08-28 about configuring LiteLLM as a gateway for Codex.
- LiteLLM exposes an OpenAI-compatible interface and can act as a gateway for LLMs.
Python 3.15 Release Candidate and Highlights
Infrastructure · Recorded impact score: 3/5
Python 3.15 has reached Release Candidate 1 with the final release expected on October 1, 2026. Key changes include lazy imports for faster startup, UTF-8 as the default encoding, a built-in immutable mapping (frozendict-style), continued JIT compiler improvements with early benchmarks (roughly 8–9% on Linux and larger gains on Apple Silicon), and a new low-overhead sampling profiler called Tachyon. Free-threaded (no-GIL) builds remain opt-in but gain maturity and improved ABI support for C extensions. The release focuses on performance, tooling, and developer experience rather than major language syntax changes.
- Python 3.15 has reached Release Candidate 1; final release expected on 2026-10-01.
- Python 3.15 introduces lazy imports to reduce startup time by loading modules only when needed.
Claude hooks ntfy for iOS Announce Notifications
Conversational AI & Chatbots · Recorded impact score: 1/5
A developer posted an open-source project that connects Claude code hooks to ntfy iOS Announce Notifications so a locked iPhone can speak when an LLM prompt finishes or requires user attention. The project (claude-speaks) is implemented in standard-library Python with no external dependencies and is published on GitHub. The post was published on DEV Community by Shamail Tayyab on 2026-08-18.
- Shamail Tayyab published a DEV Community post on 2026-08-18 describing the project.
- The project repository is github.com/pleomax00/claude-speaks.
Author Tests Grok Bot to Book Flights
Conversational AI & Chatbots · Recorded impact score: 1/5
A developer-author tested whether a Grok AI agent could act as a travel agent and book flights. The experiment showed the bot could perform many tasks (including editing and uploading a video via other bots) but failed to complete the final booking step. The post describes the workflow used, references generated content publishing via Twitter and LinkedIn bots, and links to a video walkthrough and the original blog post.
- Author Debbie O'Brien tested a Grok AI agent to see if it could book flights for her.
- The author used AI bots for video editing and to upload the video; the YouTube upload was handled by a YouTube bot.
Understanding LLM Hallucinations and How to Fix Them
Large Language Models (LLM) & AI · Recorded impact score: 2/5
This Dev.to explainer (posted Aug 13, 2026 by Sangam Shrestha) describes why large language models (LLMs) produce confident but false outputs — known as hallucinations — and gives practical mitigations. The article explains that LLMs operate by predicting the next most likely token rather than verifying facts, which leads to invented answers when training data is missing or when models are optimized to appear confident. Real-world risks highlighted include security vulnerabilities (e.g., fabricated software packages) and damaged credibility from shipping incorrect code or data. Recommended mitigations include grounding outputs with specific source documentation, lowering the model 'temperature' to reduce creativity, and enforcing human-in-the-loop review before production use.
- Article authored by Sangam Shrestha and published on DEV Community on 2026-08-13.
- LLM hallucinations occur because models predict the next most likely word/token rather than verifying factual truth.
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Questions about Tiger Data
What is Tiger Data?
Tiger Data is the trading name of Timescale, Inc., a provider of PostgreSQL-based managed cloud and enterprise database software for time-series, real-time analytics and search workloads.
Who uses Tiger Data?
Developers, software companies, data engineering teams, industrial organisations and regulated enterprises use its products to run production PostgreSQL data workloads.
How does Tiger Data make money?
It earns usage-based revenue from Tiger Cloud, commercial licence revenue from TimescaleDB Enterprise, and fees for support and enterprise services.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
22 publicly documented primary sources and citations linked across the market graph.
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