Amazon Timestream is a database service designed specifically for handling time series data, which tracks changes in data over time. This makes it ideal for applications like tracking IoT sensor data or monitoring system performance. It promises to be cost-effective, scaling to handle trillions of data points while remaining cheaper than traditional databases. Amazon Timestream simplifies data analysis and storage for large volumes of time-dependent information.
Who is Amazon Timestream best for
Amazon Timestream is a solid choice for businesses needing to store and analyze time-series data, especially in IT, software, and data analytics. We find it's particularly useful for those already invested in the AWS ecosystem due to its seamless integration. From what we see, users appreciate its scalability and serverless design, though some find it complex and potentially pricey for smaller projects. Timestream organizes data efficiently by time intervals, which many users find beneficial..
Perfect for any company size, from startups to enterprises, that need to manage time-series data.
Best suited for tech-forward industries like software, IT, and telecommunications.
Amazon Timestream features
Supported
Scalability: Scalable: Seamlessly ingest millions of time-series data points per second and process millions of queries per day with single-digit millisecond response times.
Supported
Fully Managed: Fully Managed: Removes time-consuming database administrative tasks such as installation, upgrades, storage, replication, and manual backups.
Supported
Security: Secure: Encrypts data at rest and in transit, offers private VPC endpoints, IAM authentication, custom keys with AWS KMS, and integration with AWS Backup.
Supported
Open Source Compatibility: Open Source Compatibility: Supports popular open-source technologies like InfluxDB and Telegraf.
Supported
Serverless: Serverless: Automatically scales capacity up or down to adjust to changing ingestion and query volume, without requiring capacity planning or management.
Supported
Cost Effective: Cost-Effective: Offers a pay-per-use pricing model, allowing you to pay only for the resources consumed.
Supported
Built-in Time Series Analytics: Built-in Time Series Analytics: Provides pre-built functions and operators that are optimized for time series analysis, such as smoothing, approximation, and interpolation.
Supported
Data Retention: Data Retention: Allows you to define data retention periods to automatically expire old data, reducing storage costs and simplifying data management.
Amazon Timestream reviews
We've summarised 34
Amazon Timestream reviews (Amazon Timestream G2 reviews) and
summarised the main points below.
Pros of Amazon Timestream
Fast and scalable for handling large volumes of time-series data.
Serverless, reducing management overhead.
Organizes data by time intervals for efficient querying.
Easy integration with other AWS services.
Cons of Amazon Timestream
Difficult to understand and use for non-technical users.
Can be expensive, especially for smaller projects or clients.
Limited preview availability and slow response from the Timestream team.
Requires internet connectivity for data access.
Amazon Timestream pricing
The commentary is based on 6 reviews from Amazon Timestream G2 reviews.
We find that users generally appreciate Timestream's automated scaling and performance. However, some have noted that the pricing can be a bit high, especially for smaller projects or those with limited budgets. It's worth carefully evaluating your needs against the cost.
What is Amazon Timestream and what does Amazon Timestream do?
We find Amazon Timestream to be a robust serverless database service designed for time series data. It efficiently handles large volumes of data, making it ideal for applications like IoT sensor monitoring and system performance tracking. It scales automatically and offers cost-effective storage.
What is Amazon Timestream and what does Amazon Timestream do?
We find Amazon Timestream to be a robust serverless database service designed for time series data. It efficiently handles large volumes of data, making it ideal for applications like IoT sensor monitoring and system performance tracking. It scales automatically and offers cost-effective storage.
How does Amazon Timestream integrate with other tools?
Amazon Timestream integrates seamlessly with other AWS services, simplifying data analysis and management within the AWS ecosystem. It also supports open-source tools like Telegraf and InfluxDB, broadening its compatibility for various data ingestion and analysis workflows. We find this flexibility to be a significant advantage for users.
How does Amazon Timestream integrate with other tools?
Amazon Timestream integrates seamlessly with other AWS services, simplifying data analysis and management within the AWS ecosystem. It also supports open-source tools like Telegraf and InfluxDB, broadening its compatibility for various data ingestion and analysis workflows. We find this flexibility to be a significant advantage for users.
What the main competitors of Amazon Timestream?
We find that Amazon Timestream's main competitors include Timescale, Prometheus, and InfluxDB. These alternatives offer similar time-series database capabilities, with varying strengths in scalability, open-source compatibility, and ease of use. Some users also consider Redis Enterprise and StarTree as alternatives.
What the main competitors of Amazon Timestream?
We find that Amazon Timestream's main competitors include Timescale, Prometheus, and InfluxDB. These alternatives offer similar time-series database capabilities, with varying strengths in scalability, open-source compatibility, and ease of use. Some users also consider Redis Enterprise and StarTree as alternatives.
Is Amazon Timestream legit?
Yes, Amazon Timestream is a legitimate service offered by Amazon Web Services (AWS). We find it's a robust and scalable database solution specifically designed for time series data. It's a popular choice, especially for users already within the AWS ecosystem.
Is Amazon Timestream legit?
Yes, Amazon Timestream is a legitimate service offered by Amazon Web Services (AWS). We find it's a robust and scalable database solution specifically designed for time series data. It's a popular choice, especially for users already within the AWS ecosystem.
How much does Amazon Timestream cost?
Amazon Timestream pricing depends on the amount of data ingested, stored, and queried. Ingested data is charged per GB, and storage is charged per GB per month. Querying data is priced per TB scanned. There are also separate charges for data scanned during analytical queries.
How much does Amazon Timestream cost?
Amazon Timestream pricing depends on the amount of data ingested, stored, and queried. Ingested data is charged per GB, and storage is charged per GB per month. Querying data is priced per TB scanned. There are also separate charges for data scanned during analytical queries.
Is Amazon Timestream customer service good?
Based on the available reviews, AWS is praised for its user-friendly interface and good customer support. Users specifically mention the helpfulness of the support team, contributing to a positive customer service experience.
Is Amazon Timestream customer service good?
Based on the available reviews, AWS is praised for its user-friendly interface and good customer support. Users specifically mention the helpfulness of the support team, contributing to a positive customer service experience.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.
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