Amazon KeyspacesAmazon
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Amazon TimestreamAmazon
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Related Products
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About
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you pay for only the resources you use and the service can automatically scale tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. Amazon Keyspaces gives you the performance, elasticity, and enterprise features you need to operate business-critical Cassandra workloads at scale. Process data at high speeds for applications that require single-digit-millisecond latency, such as industrial equipment maintenance, trade monitoring, etc.
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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.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not 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
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Application developers seeking a tool to build applications that serve thousands of requests per second
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Audience
Anyone in need of a scalable, and serverless time series database service for IoT and operational applications
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not 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 InformationAmazon
Founded: 1994
United States
aws.amazon.com/keyspaces/
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/timestream/
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Alternatives |
Alternatives |
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Categories |
Categories |
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NoSQL Database Features
Auto-sharding
Supported
Automatic Database Replication
Supported
Data Model Flexibility
Supported
Deployment Flexibility
Supported
Dynamic Schemas
Supported
Integrated Caching
Supported
Multi-Model
Supported
Performance Management
Supported
Security Management
Supported
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Integrations
APERIO DataWise
Not Supported
Deep Instinct
Supported
Grafana Cloud
Not Supported
Rackspace Cloud Files
Not Supported
RazorSQL
Supported
Seeq
Not Supported
TrendMiner
Not Supported
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Integrations
APERIO DataWise
Supported
Deep Instinct
Not Supported
Grafana Cloud
Supported
Rackspace Cloud Files
Supported
RazorSQL
Not Supported
Seeq
Supported
TrendMiner
Supported
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