NETI

B2B SaaS Provider

Neon vs Tiger Data

Structured technology and market comparison · 2026

Direct Feature Comparison

Neon · vs · Tiger Data
Market Cluster / Sector
NeonB2B SaaS Provider
Tiger DataB2B SaaS Provider
Platform Focus
Neon

Serverless Postgres backend for developers and AI apps.

Tiger Data

PostgreSQL platform for time-series, analytics, search and enterprise data infrastructure.

Company Size
Neon50–200 employees
Tiger Data50–200 employees
Headquarters
NeonUnited States
Tiger DataUnited States
Year Founded
Neon2021
Tiger Data2015

Analyze all overlapping signals and tech stacks for Neon and Tiger Data

Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.

Compare in PlatformInstant access · 1-click via Google/LinkedIn

Comparison Analysis

What is the main difference between Neon and Tiger Data?

When comparing Neon and Tiger Data, both platforms operate within the Cloud Data Warehouse / Data Lake and B2B SaaS Provider ecosystem. Neon is positioned as Serverless Postgres backend for developers and AI apps, whereas Tiger Data focuses on PostgreSQL platform for time-series, analytics, search and enterprise data infrastructure. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to Neon and Tiger Data?

When evaluating Neon and Tiger Data, enterprise buyers also consider other platforms in Cloud Data Warehouse / Data Lake and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

How do the corporate scale, structure, and headquarters of Neon and Tiger Data compare?

Neon is headquartered in United States (founded in 2021) with 50–200 employees. Tiger Data is based in United States (founded in 2015) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.

Market Signals

Recent Market Signals & Activity: Neon vs Tiger Data

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

NE

Neon

Recent Signals

  • ·a16zAI Agents

    Databricks Powers Agentic Future with $7B Run Rate

    Databricks, the data and AI company, has revealed it has surpassed a $7 billion revenue run rate, growing 80% year-over-year, and is valued at $190 billion. The company, which began as a Spark-based data processing platform, has evolved through multiple technology S-curves—Spark, Lakehouse, Lakebase, and now AI agents. Databricks' Lakehouse architecture unifies data lakes and warehouses, while its new Lakebase product, built on the acquisition of Neon, brings operational databases onto the same lakehouse foundation. The company is positioning itself as the 'system of record for agents,' with tools like Genie and Agent Bricks enabling employees to build and manage AI agents. With over 17 million databases launched by agents daily, Databricks is betting on the rise of agentic automation transforming the nature of work and the structure of firms, shifting from managerial hierarchy to human-agent collaboration.

    • Databricks surpassed $7 billion revenue run rate, growing 80% year-over-year.
    • Databricks is valued at $190 billion.
    • More than 17 million databases are launched by AI agents on Databricks every day.
  • ·Neon

    Major update to our Free Plan: now with 1 GB of Postgres storage per project, 100 projects included

    Neon has updated its Free Plan to double the database storage limit to 1 GB per project, up from 0.5 GB. The plan retains its allowance of up to 100 projects, with existing projects automatically receiving the higher capacity. Tailored for agentic coding workflows, the tier also features managed authentication, 5 GB of S3-compatible object storage, and serverless Node.js functions.

    • Postgres storage on the Neon Free plan increased from 0.5 GB to 1 GB per project.
    • Users retain up to 100 projects, with existing projects upgraded automatically.
    • The Free plan includes 100 CU-hours of compute per project per month and autoscaling up to 2 CU (approximately 8 GB RAM).
  • ·Neon

    Claimable Neon: Provisioned by agents, claimed by humans

    Neon launched Claimable Neon on September 10, 2026, a service that lets AI agents provision a temporary Neon project anonymously without an account or payment details. The agent receives project-scoped credentials and can build, while a human can later claim the project into a Neon organization. Unclaimed projects expire after 72 hours and are capped at 100 MB storage and 1 GB transfer. The feature uses the auth.md protocol by WorkOS and will eventually replace neon.new.

    • Neon launched Claimable Neon on September 10, 2026.
    • Claimable Neon allows agents to provision a temporary Neon project anonymously via the auth.md protocol authored by WorkOS.
    • Unclaimed projects expire after 72 hours, with limits of 100 MB storage and 1 GB transfer.
TI

Tiger Data

Recent Signals

  • ·DEV CommunityLarge Language Models (LLM) & AI

    Configure LiteLLM as Codex Model Provider

    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.
    • Required steps include setting LITELLM_API_KEY as an OS environment variable and updating .codex/config.toml to set model_provider = "litellm" and provider-specific settings (base_url, env_key, wire_api, streaming options).
  • ·DEV CommunityInfrastructure

    Python 3.15 Release Candidate and Highlights

    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.
    • UTF-8 becomes the default encoding in Python 3.15.
  • ·DEV CommunityConversational AI & Chatbots

    Claude hooks ntfy for iOS Announce Notifications

    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.
    • The tool uses stdlib Python with zero dependencies.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Neon and Tiger Data share across the market ecosystem.