Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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
Alternatives
Alternatives
No Alternatives