Amazon Kinesis Data Streams is a service designed to handle large volumes of incoming data in real-time. It's like a high-speed pipeline for information, capturing data from various sources like websites, apps, and sensors. This allows businesses to analyze data instantly for tasks such as monitoring activity, detecting trends, and responding to events immediately. It's highly scalable and can handle massive amounts of data, making it suitable for businesses of all sizes.
Who is Amazon Kinesis Data Streams best for
Amazon Kinesis Data Streams handles large real-time data volumes, ideal for enterprises needing instant insights. Users praise its scalability and AWS integration but note setup complexity and shard management challenges. Consider Kinesis for real-time analytics, monitoring, and event processing if your business prioritizes scalability and can navigate initial setup hurdles.
Best for enterprise companies leveraging real-time data.
Suitable for various data-driven industries.
Amazon Kinesis Data Streams features
Supported
Kinesis Data Streams ingests streaming data in real time, enabling immediate data processing.
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Data in Kinesis Data Streams is immutable and cannot be changed after ingestion.
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Kinesis Data Streams supports automated scaling through features like On-Demand mode and Application Auto Scaling.
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Kinesis Data Streams supports high availability and scales automatically to handle traffic spikes.
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Kinesis Data Streams offers high-volume scalability with automatic scaling and efficient shard management.
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Kinesis Data Streams enables real-time processing, allowing banks to perform transactions and generate reports instantly.
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Kinesis Data Streams supports analysis of massive datasets with billions of rows through sharding and scalable capacity.
Qualities
We evaluate the sentiment that users express about non-functional aspects of the
software
Value and Pricing Transparency
Rather positive
+0.5
Ease of Use
Rather negative
-0.5
Reliability and Performance
Strongly positive
+0.71
Ease of Implementation
Rather negative
-0.6
Scalability
Strongly positive
+1
Amazon Kinesis Data Streams reviews
We've summarised 87
Amazon Kinesis Data Streams reviews (Amazon Kinesis Data Streams G2 reviews) and
summarised the main points below.
Pros of Amazon Kinesis Data Streams
Easy integration with other AWS services, simplifying data pipelines.
Highly scalable and reliable, handling large volumes of data effortlessly.
Serverless, reducing operational overhead and maintenance.
Real-time data processing capabilities enable instant insights.
Cost-effective for many use cases with a pay-as-you-go model.
Cons of Amazon Kinesis Data Streams
Difficult to understand data sharding and shard management.
Initial setup can be complex, especially for those unfamiliar with AWS.
Occasional rate limiting issues.
Limited observability within shards makes complex troubleshooting difficult.
Pricing can be high, especially for smaller businesses or inefficient shard management.
Amazon Kinesis Data Streams pricing
The commentary is based on 16 reviews from Amazon Kinesis Data Streams G2 reviews.
Amazon Kinesis Data Streams offers two capacity modes: On-demand and Provisioned. On-demand mode charges per GB of data written and read, plus an hourly rate per data stream. Optional features like extended data retention (up to 7 days) and long-term retention (up to 1 year) incur additional charges. Provisioned mode charges per shard hour, based on the specified throughput capacity. Additional charges apply for PUT Payload Units (25KB chunks), extended data retention, long-term retention, and enhanced fan-out.
What is Amazon Kinesis Data Streams and what does Amazon Kinesis Data Streams do?
Amazon Kinesis Data Streams is a scalable and durable real-time data streaming service. It captures, processes, and stores high volumes of data from various sources, enabling real-time analytics and insights. This allows for immediate actions like trend detection and activity monitoring.
What is Amazon Kinesis Data Streams and what does Amazon Kinesis Data Streams do?
Amazon Kinesis Data Streams is a scalable and durable real-time data streaming service. It captures, processes, and stores high volumes of data from various sources, enabling real-time analytics and insights. This allows for immediate actions like trend detection and activity monitoring.
How does Amazon Kinesis Data Streams integrate with other tools?
Amazon Kinesis Data Streams seamlessly integrates with other AWS services like Amazon S3, Amazon Lambda, and Amazon Redshift, simplifying data pipelines and enabling real-time analytics. It also supports integrations with various third-party tools.
How does Amazon Kinesis Data Streams integrate with other tools?
Amazon Kinesis Data Streams seamlessly integrates with other AWS services like Amazon S3, Amazon Lambda, and Amazon Redshift, simplifying data pipelines and enabling real-time analytics. It also supports integrations with various third-party tools.
What the main competitors of Amazon Kinesis Data Streams?
Top alternatives to Amazon Kinesis Data Streams include StreamSets (IBM), GridGain, OpenText Vertica, and IBM Cloud Pak for Integration. These competitors offer similar real-time data streaming and processing capabilities, catering to various business needs and data volumes.
What the main competitors of Amazon Kinesis Data Streams?
Top alternatives to Amazon Kinesis Data Streams include StreamSets (IBM), GridGain, OpenText Vertica, and IBM Cloud Pak for Integration. These competitors offer similar real-time data streaming and processing capabilities, catering to various business needs and data volumes.
Is Amazon Kinesis Data Streams legit?
Yes, Amazon Kinesis Data Streams is a legitimate and safe service offered by Amazon Web Services (AWS). It's a reliable and scalable platform trusted by many businesses for real-time data streaming and analysis. It's known for its high-volume scalability, real-time processing, and easy integration with other AWS services.
Is Amazon Kinesis Data Streams legit?
Yes, Amazon Kinesis Data Streams is a legitimate and safe service offered by Amazon Web Services (AWS). It's a reliable and scalable platform trusted by many businesses for real-time data streaming and analysis. It's known for its high-volume scalability, real-time processing, and easy integration with other AWS services.
How much does Amazon Kinesis Data Streams cost?
Amazon Kinesis Data Streams pricing depends on the volume of data ingested and stored, and the number of enhanced fan-out consumers used. Contact Amazon for detailed pricing information. There is no pricing information available at this time.
How much does Amazon Kinesis Data Streams cost?
Amazon Kinesis Data Streams pricing depends on the volume of data ingested and stored, and the number of enhanced fan-out consumers used. Contact Amazon for detailed pricing information. There is no pricing information available at this time.
Is Amazon Kinesis Data Streams customer service good?
Customer support for Amazon Kinesis Data Streams is generally considered excellent, with users highlighting its helpfulness and responsiveness. While the initial setup can be complex, users appreciate the readily available support from AWS.
Is Amazon Kinesis Data Streams customer service good?
Customer support for Amazon Kinesis Data Streams is generally considered excellent, with users highlighting its helpfulness and responsiveness. While the initial setup can be complex, users appreciate the readily available support from AWS.
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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