Plv8

What is Plv8?

Plv8 is a company within the Developer Tools category. Plv8 offers an optimized Docker image for effortless setup and integration of PLV8 (JavaScript in PostgreSQL), supporting various PostgreSQL versions and architectures (arm64, Mac M1/M2/M3). It also provides custom build services to merge JavaScript and SQL for enhanced flexibility, minimal coding, and high performance within PostgreSQL environments.

When was Plv8 founded and where is it based?

Plv8 is headquartered in Tomsk, Russia.

What is Plv8's Brand Authority Index tier?

Plv8 is rated Low Visibility on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe Plv8?

AI narrative accuracy for Plv8 is Strong.

How do AI models position Plv8 competitively?

AI models classify Plv8 as a Challenger. AI names competitors first.

How visible is Plv8 in buyer-intent AI queries?

Plv8 appeared in 4 of 5 sampled buyer-intent queries (80%). The brand is highly discoverable for direct queries related to PLV8, especially for Docker users or specific architectures. It might be less discoverable for more general queries about PostgreSQL performance or advanced database scripting without prior knowledge of PLV8.

What do AI models currently say about Plv8?

Plv8 is presented as an essential tool for developers seeking to combine JavaScript and SQL within PostgreSQL environments. The emphasis is on ease of installation via Docker, broad compatibility, performance, and the availability of continuous support and custom solutions. It's perceived as a developer-friendly solution to enhance PostgreSQL capabilities. Key gap: No key discrepancies were found in the provided text.

How many facts about Plv8 are well-documented vs need fixing vs retrieval-dependent?

Of 5 key facts verified about Plv8, 5 are well-documented (likely accurate across AI models), 0 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.

What is Plv8's biggest AI narrative vulnerability?

The primary vulnerability is that PLV8 itself is a niche extension within the PostgreSQL ecosystem. While this offering makes it easier to use, the market is limited to developers already working with or intending to work with PostgreSQL and JavaScript for in-database logic. Lack of explicit mention of community support for their specific Docker image could also be a minor vulnerability, although it builds on the PLV8JS Development Group.

What questions do buyers ask AI about Plv8?

Buyers evaluating Plv8 typically ask AI models about "PLV8 Docker image", "JavaScript in PostgreSQL", "PostgreSQL extensions Mac M1", and 4 similar queries.

What does Plv8 offer?

Plv8's core products are Optimized Docker images for PLV8 in PostgreSQL; Custom PLV8 builds for physical/cloud servers..

How is Plv8 priced?

Plv8 uses Freemium - the Docker image is free to pull, custom builds are available upon request (implying a paid service)..

Who does Plv8 target?

Plv8 serves Software developers, database administrators, organizations leveraging PostgreSQL, particularly those integrating JavaScript logic into their database..

What differentiates Plv8 from competitors?

Plv8 Provides a pre-configured, optimized, and multi-architecture supporting Docker image for PLV8, simplifying its setup significantly, and offering specialized variants (like BigInt serialization fix) and custom build services.

Brand Authority Index (BAI) tier: Low Visibility (exact score locked for unclaimed brands)

Archetype: Challenger

https://optimly.ai/brand/plv8

Last analyzed: July 15, 2026

Verified from Plv8 website

Headquarters: Tomsk, Russia

Problems this brand solves

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About this profile

This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.

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