TimescaleDBTiger Data
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Related Products
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About
Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.
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About
TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
All types of businesses and organizations requiring a solution to query their data directly where it is stored
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Audience
Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$5.00/Terabyte-Month
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/cloud/sql-query
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Company InformationTiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb
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Alternatives |
Alternatives |
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Categories |
Categories |
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Relational Database Features
ACID Compliance
Supported
Data Failure Recovery
Supported
Multi-Platform
Supported
Referential Integrity
Supported
SQL DDL Support
Supported
SQL DML Support
Supported
System Catalog
Supported
Unicode Support
Supported
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Integrations
APERIO DataWise
Not Supported
Apache Spark
Supported
Autymate
Supported
DataClarity Unlimited Analytics
Not Supported
HighByte Intelligence Hub
Not Supported
IBM Cloud Object Storage
Supported
Lyftrondata
Supported
MyDBA.dev
Not Supported
Ndustrial Contxt
Not Supported
NexClipper
Not Supported
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Integrations
APERIO DataWise
Supported
Apache Spark
Not Supported
Autymate
Not Supported
DataClarity Unlimited Analytics
Supported
HighByte Intelligence Hub
Supported
IBM Cloud Object Storage
Not Supported
Lyftrondata
Not Supported
MyDBA.dev
Supported
Ndustrial Contxt
Supported
NexClipper
Supported
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