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What is Versio.io?

Versio.io represents a state-of-the-art enterprise software solution aimed at managing the detection and subsequent processing of changes within sizable organizations. Our forward-thinking methodologies have enabled us to create a truly unique enterprise product that distinguishes itself within the competitive landscape. This document outlines the depth of our research and development initiatives. Within our framework, connections can be established between various assets and configurations, significantly enhancing the richness of the information available. Conventional data sources often capture only a small portion of this vital information. With Versio.io, we utilize our advanced topology service to automatically identify and map these interconnections, allowing for the linkage of dependencies among instances drawn from any data source. As a result, all essential business assets and configuration items at every organizational tier can be efficiently collected, recorded, structured, and maintained within a centralized repository, thus guaranteeing comprehensive oversight and management. This capability not only boosts operational efficiency but also empowers the enterprise with the ability to make well-informed decisions, ultimately driving growth and success. The innovation brought forth by Versio.io positions organizations to better navigate the complexities of modern business environments.

What is Tiger Data?

Tiger Data is a next-generation PostgreSQL++ platform engineered for developers, devices, and AI agents that need scalable, intelligent data systems. As the company behind TimescaleDB, it extends PostgreSQL into a universal foundation for time-series analytics, real-time observability, AI retrieval, and agentic applications. The platform’s modular design introduces key primitives — Interface, Forks, Memory, Search, Materialization, and Scale — which collectively empower developers to build, deploy, and automate data-intensive workloads with ease. With Forks, users can instantly clone environments for testing or development, while Memory ensures contextual persistence across agents and time. Its hybrid search engine merges BM25 ranking with vector retrieval, enabling semantic and structured queries within a single system. Built-in time-series and streaming support allows sub-second analytics on billions of rows, while continuous aggregates and columnar compression optimize performance and cost. Tiger Cloud offers a fully managed deployment with multi-AZ resilience, encryption, SSO, and tiered storage for maximum efficiency. From IoT telemetry and financial data to AI observability and agent context storage, Tiger Data unifies real-time and analytical workloads under one Postgres-compatible umbrella. Companies like Cloudflare, Toyota, Polymarket, and Hugging Face rely on Tiger to simplify their infrastructure while scaling insights globally. With over 20,000 developers and a 4.7 G2 score, Tiger Data defines the future of PostgreSQL — smarter, faster, and built for the next era of intelligent systems.

Media

Media

Integrations Supported

Integrations Supported

Amazon S3
Apache Kafka
Datadog
Grafana Cloud
Hugging Face
LangChain
Llama
OpenAI
Polymarket
PostgreSQL
Prometheus
SQL
Snowflake
Tableau
TimescaleDB

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$30 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Versio.io

Date Founded

2005

Company Location

Germany

Company Website

www.versio.io/versio-io-platform-versiodb-temporal-database.html

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com

Categories and Features

Time Series Databases

Not specified

Categories and Features

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