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What is TimescaleDB?

TimescaleDB is an advanced time-series and analytics database built entirely on top of PostgreSQL, combining the best of relational reliability and time-series speed. It’s engineered to help developers and data teams analyze streaming, sensor, and event data in real time, while retaining historical data cost-effectively. Its core innovation, the hypertable, automatically partitions large datasets across time and space, optimizing query planning and ingestion for billions of records. TimescaleDB’s continuous aggregates provide incrementally refreshed views, enabling instant dashboards and analytics without costly recomputations. It also offers hybrid row-columnar storage, blending transactional speed with analytical performance, and supports compression rates up to 95% for long-term data storage. With built-in automation for retention, aggregation, and reordering, it reduces the operational overhead of managing time-series data at scale. TimescaleDB’s hyperfunctions library extends SQL with over 200 specialized time-series analysis functions — ideal for anomaly detection, forecasting, and performance tracking. Because it’s 100% PostgreSQL compatible, teams can leverage existing Postgres tools, drivers, and extensions while gaining time-series capabilities instantly. Open-source and cloud-ready, it powers critical workloads for industries ranging from IoT and fintech to cloud infrastructure monitoring. With TimescaleDB, developers can query billions of data points in milliseconds — using the same SQL they already know.

What is IBM Cloud SQL Query?

Discover the advantages of serverless and interactive data querying with IBM Cloud Object Storage, which allows you to analyze data at its origin without the complexities of ETL processes, databases, or infrastructure management. With IBM Cloud SQL Query, powered by Apache Spark, you can perform high-speed, flexible analyses using SQL queries without needing to define ETL workflows or schemas. The intuitive query editor and REST API make it simple to conduct data analysis on your IBM Cloud Object Storage. Operating on a pay-per-query pricing model, you are charged solely for the data scanned, offering an economical approach that supports limitless queries. To maximize both cost savings and performance, you might want to consider compressing or partitioning your data. Additionally, IBM Cloud SQL Query guarantees high availability by executing queries across various computational resources situated in multiple locations. It supports an array of data formats, such as CSV, JSON, and Parquet, while also being compatible with standard ANSI SQL for query execution, thereby providing a flexible tool for data analysis. This functionality empowers organizations to make timely, data-driven decisions, enhancing their operational efficiency and strategic planning. Ultimately, the seamless integration of these features positions IBM Cloud SQL Query as an essential resource for modern data analysis.

Media

Media

Integrations Supported

APERIO DataWise
AccessOwl
Apache Spark
Autymate
Data Sentinel
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
IBM Cloud Object Storage
Last9
Lyftrondata
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
QStudio
Tiger Data
TrendMiner
n8n

Integrations Supported

APERIO DataWise
AccessOwl
Apache Spark
Autymate
Data Sentinel
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
IBM Cloud Object Storage
Last9
Lyftrondata
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
QStudio
Tiger Data
TrendMiner
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$5.00/Terabyte-Month
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/timescaledb

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/sql-query

Categories and Features

Relational Database

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

Categories and Features

Relational Database

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

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