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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

Description

WarehousePG is a powerful open-source database designed for extensive data warehousing, business intelligence, and analytics, utilizing massively parallel processing (MPP) to enhance performance. Built on the foundation of PostgreSQL, it efficiently allocates data and processing tasks across a network of coordinator and segment servers. Users familiar with SQL can easily connect via various PostgreSQL-compatible clients and interfaces, such as psql, JDBC, ODBC, and libpq. Its features include optimized storage options, whether row- or column-oriented, table partitioning, and the ability to load data in parallel through external tables. Additionally, it offers robust workload and resource management, advanced query planning using GPORCA, and ensures high availability through mirroring of both coordinator and segment servers. The Platform Extension Framework (PXF) enables WarehousePG to interact with and manipulate external data from diverse sources, including Hadoop, object storage systems, and SQL databases accessible via JDBC. This platform is well-suited for analytical warehousing and business intelligence tasks, supporting cluster configurations on Linux in both on-premises and cloud environments. Furthermore, its scalability makes it an ideal choice for organizations looking to leverage large datasets for insightful decision-making.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise Yes 
AccessOwl Yes 
Amazon S3 No 
Apache HBase No 
Azure Blob Storage No 
DataClarity Unlimited Analytics Yes 
Dataplane Yes 
Hadoop No 
Last9 Yes 
Mode Yes 
Ndustrial Contxt Yes 
NexClipper Yes 
Opralog Yes 
PostgreSQL Yes 
Tiger Data Yes 
TrendMiner Yes 
Visplore Yes 
Workers by Delos Yes 
Wyn Enterprise Yes 
n8n Yes 

Integrations

APERIO DataWise No 
AccessOwl No 
Amazon S3 Yes 
Apache HBase Yes 
Azure Blob Storage Yes 
DataClarity Unlimited Analytics No 
Dataplane No 
Hadoop Yes 
Last9 No 
Mode No 
Ndustrial Contxt No 
NexClipper No 
Opralog No 
PostgreSQL No 
Tiger Data No 
TrendMiner No 
Visplore No 
Workers by Delos No 
Wyn Enterprise No 
n8n No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

$0
The WarehousePG project is free and open source.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Tiger Data

Founded

2015

Country

United States

Website

www.tigerdata.com/timescaledb

Vendor Details

Company Name

EDB

Founded

2004

Country

United States

Website

warehouse-pg.io

Product Features

Relational Database

ACID Compliance No 
Data Failure Recovery No 
Multi-Platform No 
Referential Integrity No 
SQL DDL Support No 
SQL DML Support No 
System Catalog No 
Unicode Support No 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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Alternatives

No Alternatives
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5.0 out of 5 stars