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Best Stream Analytics Software

Bijou Barry
BB
Researched and written by Bijou Barry

Stream analytics software monitors and analyzes integration data in real time. These tools allow users to analyze data in transfer between applications or through APIs. This allows users to analyze both historical events and what’s happening at that exact time. Companies use stream analytics to better understand what data users are retrieving and to monitor endpoints. Users can analyze data being transferred amongst devices like internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. Many tools contain data visualization components to present and map connected devices. Other common features include competitive analysis and big data analytics. There is some crossover between stream analytics and big data analytics tools, but big data analytics tools aren’t necessarily used specifically to provide real-time information.

To qualify for inclusion in the Stream Analytics category, a product must:

Monitor events pertaining to information exchange in real time
Alert users of device or network failures using triggers
Provide actionable analytical insights
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Featured Stream Analytics Software At A Glance

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
77 Listings in Stream Analytics Available
(572)4.5 out of 5
Optimized for quick response
1st Easiest To Use in Stream Analytics software
View top Consulting Services for HubSpot Data Hub
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline busines

    Users
    • CEO
    • Owner
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 67% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • HubSpot Data Hub Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    119
    Automation
    90
    Data Management
    88
    Integrations
    65
    Efficiency
    48
    Cons
    Limitations
    58
    Missing Features
    40
    Learning Curve
    37
    Expensive
    33
    Complexity
    27
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HubSpot Data Hub features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Ease of Admin
    Average: 8.5
    8.8
    Quality of Support
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    HubSpot
    Company Website
    Year Founded
    2006
    HQ Location
    Cambridge, MA
    Twitter
    @HubSpot
    786,255 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11,675 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline busines

Users
  • CEO
  • Owner
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 67% Small-Business
  • 29% Mid-Market
HubSpot Data Hub Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
119
Automation
90
Data Management
88
Integrations
65
Efficiency
48
Cons
Limitations
58
Missing Features
40
Learning Curve
37
Expensive
33
Complexity
27
HubSpot Data Hub features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.0
8.9
Ease of Admin
Average: 8.5
8.8
Quality of Support
Average: 8.8
8.7
Ease of Use
Average: 8.7
Seller Details
Seller
HubSpot
Company Website
Year Founded
2006
HQ Location
Cambridge, MA
Twitter
@HubSpot
786,255 Twitter followers
LinkedIn® Page
www.linkedin.com
11,675 employees on LinkedIn®
(90)4.3 out of 5
7th Easiest To Use in Stream Analytics software
View top Consulting Services for Amazon Kinesis Data Streams
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Kinesis Data Streams Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Real-time Data
    2
    Real-Time Processing
    2
    Real-time Streaming
    2
    Streaming
    2
    API Integration
    1
    Cons
    Difficult Setup
    2
    Expensive
    2
    Resource Intensive Learning
    2
    Complexity
    1
    Complexity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis Data Streams features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.0
    8.4
    Ease of Admin
    Average: 8.5
    8.6
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,069 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Enterprise
  • 37% Mid-Market
Amazon Kinesis Data Streams Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Real-time Data
2
Real-Time Processing
2
Real-time Streaming
2
Streaming
2
API Integration
1
Cons
Difficult Setup
2
Expensive
2
Resource Intensive Learning
2
Complexity
1
Complexity Issues
1
Amazon Kinesis Data Streams features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
8.4
Ease of Admin
Average: 8.5
8.6
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,069 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
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(211)4.8 out of 5
Optimized for quick response
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Evam is a leading technology company that provides comprehensive solutions and products for real-time, cross-channel customer experiences. Our cutting-edge continuous intelligence technology leverages

    Users
    No information available
    Industries
    • Banking
    • Telecommunications
    Market Segment
    • 36% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Evam Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    102
    Helpful
    75
    Intuitive
    66
    Automation
    60
    Flexibility
    56
    Cons
    Learning Curve
    40
    Difficult Learning
    18
    Steep Learning Curve
    18
    Complex Features
    15
    Not Intuitive
    15
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Evam features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.0
    9.5
    Ease of Admin
    Average: 8.5
    9.5
    Quality of Support
    Average: 8.8
    9.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EVAM
    Company Website
    Year Founded
    2015
    HQ Location
    London
    LinkedIn® Page
    www.linkedin.com
    138 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Evam is a leading technology company that provides comprehensive solutions and products for real-time, cross-channel customer experiences. Our cutting-edge continuous intelligence technology leverages

Users
No information available
Industries
  • Banking
  • Telecommunications
Market Segment
  • 36% Enterprise
  • 34% Mid-Market
Evam Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
102
Helpful
75
Intuitive
66
Automation
60
Flexibility
56
Cons
Learning Curve
40
Difficult Learning
18
Steep Learning Curve
18
Complex Features
15
Not Intuitive
15
Evam features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.0
9.5
Ease of Admin
Average: 8.5
9.5
Quality of Support
Average: 8.8
9.3
Ease of Use
Average: 8.7
Seller Details
Seller
EVAM
Company Website
Year Founded
2015
HQ Location
London
LinkedIn® Page
www.linkedin.com
138 employees on LinkedIn®
(96)4.5 out of 5
5th Easiest To Use in Stream Analytics software
View top Consulting Services for Elastic Stack
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsea

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 45% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elastic Stack Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Flexibility
    3
    Log Management
    3
    Search Efficiency
    3
    Versatility
    3
    Cons
    Resource Management
    3
    Complexity Issues
    2
    Expensive
    2
    High Memory Usage
    2
    Learning Curve
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elastic Stack features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 9.0
    7.5
    Ease of Admin
    Average: 8.5
    8.1
    Quality of Support
    Average: 8.8
    8.0
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,395 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,808 employees on LinkedIn®
    Ownership
    NYSE: ESTC
Product Description
How are these determined?Information
This description is provided by the seller.

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsea

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 45% Mid-Market
  • 35% Enterprise
Elastic Stack Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Flexibility
3
Log Management
3
Search Efficiency
3
Versatility
3
Cons
Resource Management
3
Complexity Issues
2
Expensive
2
High Memory Usage
2
Learning Curve
2
Elastic Stack features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 9.0
7.5
Ease of Admin
Average: 8.5
8.1
Quality of Support
Average: 8.8
8.0
Ease of Use
Average: 8.7
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,395 Twitter followers
LinkedIn® Page
www.linkedin.com
4,808 employees on LinkedIn®
Ownership
NYSE: ESTC
(420)4.3 out of 5
Optimized for quick response
6th Easiest To Use in Stream Analytics software
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Tealium Customer Data Hub (CDH) is a sophisticated customer data management solution designed to facilitate real-time connections among customer engagement data across an organization. By integrat

    Users
    • Web Analyst
    Industries
    • Retail
    • Financial Services
    Market Segment
    • 49% Enterprise
    • 29% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Tealium Customer Data Hub is a platform that unifies customer data from multiple sources in real time, enabling segmentation and data activation across various tools.
    • Reviewers frequently mention the platform's extensive integration capabilities, real-time data processing, and flexibility in building customer profiles as standout features.
    • Users experienced a steep learning curve, complexity in initial setup, and occasional performance issues when handling large volumes of data.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tealium Customer Data Hub Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    59
    Data Management
    56
    Integrations
    53
    Real-Time Processing
    50
    Easy Integration
    48
    Cons
    Learning Curve
    64
    Difficult Learning
    47
    Complexity
    42
    Learning Difficulty
    33
    Steep Learning Curve
    33
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tealium Customer Data Hub features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.0
    7.9
    Ease of Admin
    Average: 8.5
    8.9
    Quality of Support
    Average: 8.8
    7.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tealium
    Company Website
    Year Founded
    2011
    HQ Location
    San Diego, CA
    Twitter
    @tealium
    4,743 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    579 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Tealium Customer Data Hub (CDH) is a sophisticated customer data management solution designed to facilitate real-time connections among customer engagement data across an organization. By integrat

Users
  • Web Analyst
Industries
  • Retail
  • Financial Services
Market Segment
  • 49% Enterprise
  • 29% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Tealium Customer Data Hub is a platform that unifies customer data from multiple sources in real time, enabling segmentation and data activation across various tools.
  • Reviewers frequently mention the platform's extensive integration capabilities, real-time data processing, and flexibility in building customer profiles as standout features.
  • Users experienced a steep learning curve, complexity in initial setup, and occasional performance issues when handling large volumes of data.
Tealium Customer Data Hub Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
59
Data Management
56
Integrations
53
Real-Time Processing
50
Easy Integration
48
Cons
Learning Curve
64
Difficult Learning
47
Complexity
42
Learning Difficulty
33
Steep Learning Curve
33
Tealium Customer Data Hub features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
7.9
Ease of Admin
Average: 8.5
8.9
Quality of Support
Average: 8.8
7.7
Ease of Use
Average: 8.7
Seller Details
Seller
Tealium
Company Website
Year Founded
2011
HQ Location
San Diego, CA
Twitter
@tealium
4,743 Twitter followers
LinkedIn® Page
www.linkedin.com
579 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics

    Users
    No information available
    Industries
    • Computer Software
    • Education Management
    Market Segment
    • 41% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Pub/Sub Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    2
    Customer Support
    1
    Ease of Use
    1
    Easy Access
    1
    Integrations
    1
    Cons
    Expensive
    1
    Limitations
    1
    Slow Processing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Pub/Sub features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.0
    7.9
    Ease of Admin
    Average: 8.5
    8.8
    Quality of Support
    Average: 8.8
    8.6
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,755,640 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics

Users
No information available
Industries
  • Computer Software
  • Education Management
Market Segment
  • 41% Small-Business
  • 32% Mid-Market
Google Cloud Pub/Sub Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
2
Customer Support
1
Ease of Use
1
Easy Access
1
Integrations
1
Cons
Expensive
1
Limitations
1
Slow Processing
1
Google Cloud Pub/Sub features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
7.9
Ease of Admin
Average: 8.5
8.8
Quality of Support
Average: 8.8
8.6
Ease of Use
Average: 8.7
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,755,640 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(99)4.2 out of 5
4th Easiest To Use in Stream Analytics software
View top Consulting Services for Amazon OpenSearch Service
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and webs

    Users
    • Technical Lead
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Mid-Market
    • 32% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon OpenSearch Service features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 9.0
    8.2
    Ease of Admin
    Average: 8.5
    8.0
    Quality of Support
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,069 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and webs

Users
  • Technical Lead
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Mid-Market
  • 32% Enterprise
Amazon OpenSearch Service features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 9.0
8.2
Ease of Admin
Average: 8.5
8.0
Quality of Support
Average: 8.8
8.5
Ease of Use
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,069 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis is a suite of managed services designed to collect, process, and analyze real-time streaming data at scale. It enables organizations to handle large volumes of data from diverse sources

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 42% Mid-Market
    • 35% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    Ease of Admin
    Average: 8.5
    9.1
    Quality of Support
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,069 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Kinesis is a suite of managed services designed to collect, process, and analyze real-time streaming data at scale. It enables organizations to handle large volumes of data from diverse sources

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 42% Mid-Market
  • 35% Small-Business
Amazon Kinesis features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
8.6
Ease of Admin
Average: 8.5
9.1
Quality of Support
Average: 8.8
8.7
Ease of Use
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,069 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to ru

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Small-Business
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Managed Streaming for Apache Kafka (Amazon MSK) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Services
    1
    Maintenance Ease
    1
    Management Ease
    1
    Reliability
    1
    Scalability
    1
    Cons
    Expensive
    1
    Limitations
    1
    Limited Control
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Managed Streaming for Apache Kafka (Amazon MSK) features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.7
    Ease of Admin
    Average: 8.5
    9.0
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,069 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to ru

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Small-Business
  • 36% Mid-Market
Amazon Managed Streaming for Apache Kafka (Amazon MSK) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Services
1
Maintenance Ease
1
Management Ease
1
Reliability
1
Scalability
1
Cons
Expensive
1
Limitations
1
Limited Control
1
Amazon Managed Streaming for Apache Kafka (Amazon MSK) features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 9.0
8.7
Ease of Admin
Average: 8.5
9.0
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,069 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    User Interface
    16
    Data Management
    15
    Data Pipelining
    15
    Integrations
    14
    Cons
    Learning Curve
    13
    Expensive
    10
    Learning Difficulty
    8
    Slow Performance
    8
    Steep Learning Curve
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    Ease of Admin
    Average: 8.5
    8.0
    Quality of Support
    Average: 8.8
    8.4
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,798 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 33% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
User Interface
16
Data Management
15
Data Pipelining
15
Integrations
14
Cons
Learning Curve
13
Expensive
10
Learning Difficulty
8
Slow Performance
8
Steep Learning Curve
8
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.0
7.8
Ease of Admin
Average: 8.5
8.0
Quality of Support
Average: 8.8
8.4
Ease of Use
Average: 8.7
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,798 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you unco

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure IoT Central features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Ease of Admin
    Average: 8.5
    9.1
    Quality of Support
    Average: 8.8
    9.4
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,088,873 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you unco

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Small-Business
  • 29% Enterprise
Azure IoT Central features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.3
Ease of Admin
Average: 8.5
9.1
Quality of Support
Average: 8.8
9.4
Ease of Use
Average: 8.7
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,873 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Computing
    1
    Cloud Services
    1
    Connectors
    1
    Data Integration
    1
    Ease of Use
    1
    Cons
    Cost Estimation
    1
    Expensive
    1
    Initial Difficulties
    1
    Lack of Features
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.1
    Ease of Admin
    Average: 8.5
    8.3
    Quality of Support
    Average: 8.8
    8.4
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,591 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,654 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Computing
1
Cloud Services
1
Connectors
1
Data Integration
1
Ease of Use
1
Cons
Cost Estimation
1
Expensive
1
Initial Difficulties
1
Lack of Features
1
Learning Curve
1
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
8.1
Ease of Admin
Average: 8.5
8.3
Quality of Support
Average: 8.8
8.4
Ease of Use
Average: 8.7
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,591 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 69% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Event Hubs features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.8
    Ease of Admin
    Average: 8.5
    9.0
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,088,873 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or

Users
No information available
Industries
No information available
Market Segment
  • 69% Small-Business
  • 31% Enterprise
Azure Event Hubs features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.8
Ease of Admin
Average: 8.5
9.0
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,873 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

    Users
    • Student
    • Manager
    Industries
    • Oil & Energy
    • Information Technology and Services
    Market Segment
    • 52% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Spotfire Analytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Visualization
    15
    Ease of Use
    15
    Insights
    11
    Easy Integrations
    10
    Features
    10
    Cons
    Learning Curve
    9
    Learning Difficulty
    7
    Expensive
    5
    Steep Learning Curve
    4
    Complexity
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spotfire Analytics features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    Ease of Admin
    Average: 8.5
    7.8
    Quality of Support
    Average: 8.8
    8.1
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Spotfire
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

Users
  • Student
  • Manager
Industries
  • Oil & Energy
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 26% Mid-Market
Spotfire Analytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Visualization
15
Ease of Use
15
Insights
11
Easy Integrations
10
Features
10
Cons
Learning Curve
9
Learning Difficulty
7
Expensive
5
Steep Learning Curve
4
Complexity
3
Spotfire Analytics features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 9.0
7.8
Ease of Admin
Average: 8.5
7.8
Quality of Support
Average: 8.8
8.1
Ease of Use
Average: 8.7
Seller Details
Seller
Spotfire
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, mak

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Kafka Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    5
    Real-time Data
    3
    Easy Integrations
    2
    Performance
    2
    Performance Efficiency
    2
    Cons
    Complexity
    1
    Data Management Issues
    1
    Debugging Issues
    1
    Difficult Learning
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Kafka features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    Ease of Admin
    Average: 8.5
    7.8
    Quality of Support
    Average: 8.8
    8.6
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,056 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, mak

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 33% Mid-Market
Apache Kafka Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
5
Real-time Data
3
Easy Integrations
2
Performance
2
Performance Efficiency
2
Cons
Complexity
1
Data Management Issues
1
Debugging Issues
1
Difficult Learning
1
Limited Customization
1
Apache Kafka features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
7.8
Ease of Admin
Average: 8.5
7.8
Quality of Support
Average: 8.8
8.6
Ease of Use
Average: 8.7
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,056 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®