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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.

What is CYBERTEC PostgreSQL Enterprise Edition (PGEE)?

CYBERTEC PostgreSQL Enterprise Edition (PGEE) is a sophisticated database management system specifically designed for organizations that need enhanced security and compliance features that exceed the capabilities of standard PostgreSQL. This solution incorporates groundbreaking transparent data encryption (TDE) developed by CYBERTEC, along with protections for stored procedures and extensive audit trails, all while maintaining optimal performance when handling large data volumes. PGEE is built to comply with rigorous standards such as GDPR, HIPAA, and PCI DSS, and it provides versatile deployment options suitable for various environments, including on-premises installations, Kubernetes, AWS, Microsoft Azure, and Google Cloud. Furthermore, its comprehensive array of features makes it particularly well-suited for companies aiming to protect sensitive data while also promoting operational effectiveness. Consequently, businesses can trust PGEE to deliver both security and efficiency in their data management practices.

Media

Media

No images available

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$30 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com

Company Facts

Organization Name

CYBERTEC PostgreSQL

Date Founded

2000

Company Location

Austria

Company Website

www.cybertec-postgresql.com/en/

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Categories and Features

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