AWS Analytics is a collection of services offered by Amazon Web Services that helps businesses analyze their data. It provides tools for data ingestion, storage, processing, and visualization, making it possible to extract insights and make better decisions. While suitable for companies of all sizes, its comprehensive features are particularly beneficial for larger organizations and those dealing with big data, such as in tech, finance, and retail. AWS Analytics stands out for its scalability, allowing businesses to adjust resources as needed and only pay for what they use.
Who is AWS Analytics best for
AWS Analytics offers a comprehensive suite of data analysis tools, perfect for large organizations needing scalable solutions. Users praise its easy setup and integration with other AWS services, but some find the pricing complex and customization options limited. It simplifies data ingestion, provides visual exploration, and delivers actionable insights.
Best fit for larger organizations, particularly those dealing with big data.
Ideal for tech, finance, and retail industries.
AWS Analytics features
Type in the name of the feature or in your own words tell us what you need
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AWS offers various services to centralize data and perform holistic analysis.
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AWS offers various services like Lambda and EventBridge to simplify data ingestion from multiple APIs and connectors, supporting daily updates.
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AWS Analytics supports visual data exploration with various interactive charts and dashboards using services like QuickSight.
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AWS Analytics transforms raw data into actionable insights using services like QuickSight, Athena, Glue, and SageMaker.
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AWS offers robust data warehousing capabilities through services like Amazon Redshift and Athena.
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AWS Analytics, specifically AWS Glue, offers tools for data cleansing, standardization, and validation.
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AWS offers various services for creating and managing data pipelines, including Data Pipeline and Kinesis Data Firehose.
Qualities
We evaluate the sentiment that users express about non-functional aspects of the
software
Value and Pricing Transparency
Rather positive
+0.38
Customer Service
Rather positive
+0.37
Ease of Use
Strongly positive
+0.81
Reliability and Performance
Rather positive
+0.33
Ease of Implementation
Rather positive
+0.31
Scalability
Rather positive
+0.66
AWS Analytics reviews
We've summarised 551 AWS Analytics reviews (AWS Analytics G2 reviews) and
summarised the main points below.
Pros of AWS Analytics
Easy setup and integration with AWS services.
User-friendly interface with drag-and-drop functionality.
Pay-per-session pricing model.
Scalable and handles large data volumes.
Real-time data analysis and visualization capabilities.
Cons of AWS Analytics
Limited customization options for dashboards and visualizations.
Difficult to manage large datasets.
Occasional bugs and slow response times.
Complex pricing structure, especially with SPICE.
Limited connectivity with non-AWS data sources.
AWS Analytics pricing
The commentary is based on 206 reviews from AWS Analytics G2 reviews.
AWS Analytics services like QuickSight and Redshift are praised for their scalability and integration with the AWS ecosystem. However, some users mention the pricing can be complex and potentially expensive, especially for smaller businesses or those with large datasets. Others find the pay-per-session model cost-effective.
Better for enhancing customer interactions through personalized campaigns and improved customer service. More suitable for small businesses and those focused on marketing and customer engagement. A good AWS Analytics alternative for e-commerce and various other industries.
Better fit for users comfortable with the Microsoft ecosystem. Focuses on low-code/no-code application development and automation for a broader range of industries. Has more momentum in website traffic growth.
Better for smaller businesses and those seeking strong AI and machine learning capabilities. Wider industry applicability. Offers a free trial. Higher ratings on G2 and Capterra. More user-friendly but has concerns regarding occasional outages and complex pricing.
Better for compliance and data governance in regulated industries like healthcare and finance. More focused on risk management and protecting sensitive data. Website traffic is growing faster.
What is AWS Analytics and what does AWS Analytics do?
What is AWS Analytics and what does AWS Analytics do?
AWS Analytics is a suite of cloud-based data analysis services by Amazon Web Services. It provides tools for data ingestion, processing, visualization, and warehousing, enabling businesses to gain actionable insights. Its scalability makes it suitable for organizations of all sizes, particularly those working with big data.
How does AWS Analytics integrate with other tools?
How does AWS Analytics integrate with other tools?
AWS Analytics integrates seamlessly with other AWS services, such as S3, Redshift, and QuickSight, creating a unified data platform. It also supports various APIs and connectors for broader integration capabilities, simplifying data ingestion and analysis.
What the main competitors of AWS Analytics?
What the main competitors of AWS Analytics?
Top alternatives to AWS Analytics include Microsoft Power Platform, Azure DevOps, and AWS Databases. These platforms offer similar features for data analysis, software development, and database management, catering to various business needs and sizes.
Is AWS Analytics legit?
Is AWS Analytics legit?
Yes, AWS Analytics is a legitimate suite of services offered by Amazon Web Services. It's a safe and reliable platform used by many businesses for data analysis, visualization, and insight generation. AWS Analytics is known for its scalability and pay-as-you-go pricing model.
How much does AWS Analytics cost?
How much does AWS Analytics cost?
I cannot find pricing details for AWS Analytics. Contact AWS sales for a personalized quote or explore their website for more information about product pricing and determine if AWS Analytics is worth the investment.
Is AWS Analytics customer service good?
Is AWS Analytics customer service good?
Customer support feedback for AWS Analytics is mixed. Some users praise the helpful and responsive customer support, while others report difficulties and inadequate assistance. Thorough research is recommended to determine if AWS Analytics customer support meets your specific needs.
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.