TimescaleDB

TimescaleDB

Tiger Data
+

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About

More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.

About

Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies. Amazon Timestream’s purpose-built query engine lets you access and analyze recent and historical data together, without needing to specify explicitly in the query whether the data resides in the in-memory or cost-optimized tier. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in your data in near real-time.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies that need a powerful and fast cloud data warehouse solution

Audience

Anyone in need of a scalable, and serverless time series database service for IoT and operational applications

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$0.25 per hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/redshift/

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/timestream/

Company Information

Tiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb

Alternatives

Alternatives

InfluxDB

InfluxDB

InfluxData

Alternatives

TimescaleDB

TimescaleDB

Tiger Data
Amazon S3

Amazon S3

Amazon
InfluxDB

InfluxDB

InfluxData
kdb+

kdb+

KX Systems
DataPortia

DataPortia

Atorcom

Categories

Categories

Categories

Integrations

TrendMiner
Basedash
Helio Cloud Rendering
Helpware
Hevo
Ledge
Lumi AI
Manatal
Pantomath
QuerySurge
Quickwork
Recruitee
Rivery
Salesforce CRM Analytics
Veeam Backup for AWS
WhereScape
Woopra
Yurbi
actiondesk
iDerive

Integrations

TrendMiner
Basedash
Helio Cloud Rendering
Helpware
Hevo
Ledge
Lumi AI
Manatal
Pantomath
QuerySurge
Quickwork
Recruitee
Rivery
Salesforce CRM Analytics
Veeam Backup for AWS
WhereScape
Woopra
Yurbi
actiondesk
iDerive

Integrations

TrendMiner
Basedash
Helio Cloud Rendering
Helpware
Hevo
Ledge
Lumi AI
Manatal
Pantomath
QuerySurge
Quickwork
Recruitee
Rivery
Salesforce CRM Analytics
Veeam Backup for AWS
WhereScape
Woopra
Yurbi
actiondesk
iDerive
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