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Best Event Stream Processing Software - Page 2

Bijou Barry
BB
Researched and written by Bijou Barry

Event stream processing software allows for the processing of data on the fly, enabling users to properly store, manage, and analyze their streaming data. In contrast to batch processing which focuses on historical data, stream processing allows for the processing of data in real time. Event stream processing software gives users the ability to examine how their data has changed over time. It also helps users by providing insight into anomalies and trends in the data.

Event stream processing software, with processing at its core, provides users with the capabilities they need to integrate their data, for purposes such as analytics and application development. If the user is focused on data analysis, above and beyond processing, stream analytics software is a good solution to consider.

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

Connect to a wide range of core systems and provide the ability to process the data in real time
Offer the ability to analyze the processing of data to ascertain its performance
Allow users to visualize the data flow and ensure that data and data delivery is validated
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Featured Event Stream Processing Software At A Glance

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Kpow for Apache Kafka®
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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.

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71 Listings in Event Stream Processing Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

    Users
    No information available
    Industries
    • Computer Software
    • Insurance
    Market Segment
    • 42% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nexla 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
    21
    Automation
    14
    Data Management
    14
    Integrations
    14
    Data Integration
    11
    Cons
    Learning Difficulty
    7
    Slow Performance
    7
    Learning Curve
    6
    Difficult Learning
    5
    Poor Documentation
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nexla features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.3
    Data Sources
    Average: 8.6
    9.3
    Data Processing
    Average: 8.8
    9.4
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nexla
    Company Website
    Year Founded
    2016
    HQ Location
    San Mateo, California
    Twitter
    @NexlaInc
    937 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    76 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

Users
No information available
Industries
  • Computer Software
  • Insurance
Market Segment
  • 42% Mid-Market
  • 34% Small-Business
Nexla 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
21
Automation
14
Data Management
14
Integrations
14
Data Integration
11
Cons
Learning Difficulty
7
Slow Performance
7
Learning Curve
6
Difficult Learning
5
Poor Documentation
5
Nexla features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.3
Data Sources
Average: 8.6
9.3
Data Processing
Average: 8.8
9.4
Real-Time Processing
Average: 9.1
Seller Details
Seller
Nexla
Company Website
Year Founded
2016
HQ Location
San Mateo, California
Twitter
@NexlaInc
937 Twitter followers
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®
(49)4.2 out of 5
View top Consulting Services for IBM Cloud Pak for Integration
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak for Integration is a set of capabilities to speed integration and scale automation, built for any hybrid cloud, within a single, unified experience. Unlock business data and assets as AP

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Mid-Market
    • 37% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Integration features and usability ratings that predict user satisfaction
    7.3
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Data Sources
    Average: 8.6
    8.6
    Data Processing
    Average: 8.8
    8.1
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,686 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 Cloud Pak for Integration is a set of capabilities to speed integration and scale automation, built for any hybrid cloud, within a single, unified experience. Unlock business data and assets as AP

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Mid-Market
  • 37% Enterprise
IBM Cloud Pak for Integration features and usability ratings that predict user satisfaction
7.3
Has the product been a good partner in doing business?
Average: 8.9
8.3
Data Sources
Average: 8.6
8.6
Data Processing
Average: 8.8
8.1
Real-Time Processing
Average: 9.1
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,686 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
G2 Advertising
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(157)4.5 out of 5
5th Easiest To Use in Event Stream Processing software
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Entry Level Price:Contact Us
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates th

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 55% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tray.ai 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
    Easy Integrations
    9
    Ease of Use
    8
    Flexibility
    6
    Integrations
    6
    Automation
    5
    Cons
    Learning Curve
    4
    Missing Features
    4
    Complex Pricing
    3
    Complex Usability
    3
    Expensive
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tray.ai features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.2
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.8
    8.6
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tray.io
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @tray
    3,097 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates th

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 55% Mid-Market
  • 34% Small-Business
Tray.ai 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
Easy Integrations
9
Ease of Use
8
Flexibility
6
Integrations
6
Automation
5
Cons
Learning Curve
4
Missing Features
4
Complex Pricing
3
Complex Usability
3
Expensive
3
Tray.ai features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.2
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.8
8.6
Real-Time Processing
Average: 9.1
Seller Details
Seller
Tray.io
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@tray
3,097 Twitter followers
LinkedIn® Page
www.linkedin.com
135 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Decodable radically simplifies real-time ETL with a powerful, easy-to-use real-time ETL platform. By removing the challenges of building and maintaining infrastructure and pipelines, Decodable enables

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 44% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Decodable 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
    Simple
    5
    Ease of Use
    4
    Features
    4
    Implementation Ease
    4
    Automation
    3
    Cons
    Complex Setup
    2
    Feature Limitations
    2
    Limitations
    2
    Limited Features
    2
    Performance Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Decodable features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Data Sources
    Average: 8.6
    8.7
    Data Processing
    Average: 8.8
    9.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Decodable
    Year Founded
    2021
    HQ Location
    San Francisco, US
    Twitter
    @Decodableco
    2,706 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Decodable radically simplifies real-time ETL with a powerful, easy-to-use real-time ETL platform. By removing the challenges of building and maintaining infrastructure and pipelines, Decodable enables

Users
No information available
Industries
No information available
Market Segment
  • 44% Small-Business
  • 38% Mid-Market
Decodable 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
Simple
5
Ease of Use
4
Features
4
Implementation Ease
4
Automation
3
Cons
Complex Setup
2
Feature Limitations
2
Limitations
2
Limited Features
2
Performance Issues
2
Decodable features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
9.0
Data Sources
Average: 8.6
8.7
Data Processing
Average: 8.8
9.3
Real-Time Processing
Average: 9.1
Seller Details
Seller
Decodable
Year Founded
2021
HQ Location
San Francisco, US
Twitter
@Decodableco
2,706 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 46% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis Data Firehose features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    7.5
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.8
    8.1
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,572 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 Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 46% Mid-Market
  • 33% Enterprise
Amazon Kinesis Data Firehose features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
7.5
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.8
8.1
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,572 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(40)4.2 out of 5
10th Easiest To Use in Event Stream Processing software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Stream

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Mid-Market
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spark Streaming features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Data Sources
    Average: 8.6
    9.2
    Data Processing
    Average: 8.8
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,970 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.

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Stream

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Mid-Market
  • 30% Small-Business
Spark Streaming features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.9
9.0
Data Sources
Average: 8.6
9.2
Data Processing
Average: 8.8
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,970 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Your enterprise is surrounded by hundreds of thousands of events that occur continuously. Hidden amongst them can be stalled business processes, opportunities for value creation, potential fraud, diss

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Enterprise
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TIBCO BusinessEvents 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
    Decision Making
    1
    Ease of Use
    1
    Efficiency
    1
    Real-time Analytics
    1
    Real-time Data
    1
    Cons
    Complexity
    1
    Expensive
    1
    Poor Guidance
    1
    Setup Difficulties
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIBCO BusinessEvents features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    8.2
    Data Sources
    Average: 8.6
    8.6
    Data Processing
    Average: 8.8
    8.9
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Fort Lauderdale, FL
    Twitter
    @cloudsoftware
    119 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,677 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Your enterprise is surrounded by hundreds of thousands of events that occur continuously. Hidden amongst them can be stalled business processes, opportunities for value creation, potential fraud, diss

Users
No information available
Industries
No information available
Market Segment
  • 47% Enterprise
  • 35% Small-Business
TIBCO BusinessEvents 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
Decision Making
1
Ease of Use
1
Efficiency
1
Real-time Analytics
1
Real-time Data
1
Cons
Complexity
1
Expensive
1
Poor Guidance
1
Setup Difficulties
1
TIBCO BusinessEvents features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
8.2
Data Sources
Average: 8.6
8.6
Data Processing
Average: 8.8
8.9
Real-Time Processing
Average: 9.1
Seller Details
HQ Location
Fort Lauderdale, FL
Twitter
@cloudsoftware
119 Twitter followers
LinkedIn® Page
www.linkedin.com
9,677 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NetApp® Instaclustr for Apache Kafka® is a managed event streaming platform that enables organizations to deploy, operate, and scale Apache Kafka clusters for distributed data processing. It is design

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Instaclustr Managed Kafka features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    8.8
    Data Sources
    Average: 8.6
    8.8
    Data Processing
    Average: 8.8
    9.2
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NetApp
    Year Founded
    1992
    HQ Location
    Sunnyvale, California
    Twitter
    @NetApp
    118,402 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12,657 employees on LinkedIn®
    Ownership
    NASDAQ
Product Description
How are these determined?Information
This description is provided by the seller.

NetApp® Instaclustr for Apache Kafka® is a managed event streaming platform that enables organizations to deploy, operate, and scale Apache Kafka clusters for distributed data processing. It is design

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 27% Mid-Market
Instaclustr Managed Kafka features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.8
Data Sources
Average: 8.6
8.8
Data Processing
Average: 8.8
9.2
Real-Time Processing
Average: 9.1
Seller Details
Seller
NetApp
Year Founded
1992
HQ Location
Sunnyvale, California
Twitter
@NetApp
118,402 Twitter followers
LinkedIn® Page
www.linkedin.com
12,657 employees on LinkedIn®
Ownership
NASDAQ
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InfinyOn, a real-time data streaming company, has architected a programmable platform for data in motion that is built on Rust and enables continuous intelligence for connected apps. SmartModules enab

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 73% Small-Business
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InfinyOn Cloud features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Data Sources
    Average: 8.6
    8.6
    Data Processing
    Average: 8.8
    9.2
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    InfinyOn
    Year Founded
    2019
    HQ Location
    Santa Clara, US
    Twitter
    @infinyon
    422 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

InfinyOn, a real-time data streaming company, has architected a programmable platform for data in motion that is built on Rust and enables continuous intelligence for connected apps. SmartModules enab

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 73% Small-Business
  • 20% Mid-Market
InfinyOn Cloud features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.9
8.3
Data Sources
Average: 8.6
8.6
Data Processing
Average: 8.8
9.2
Real-Time Processing
Average: 9.1
Seller Details
Seller
InfinyOn
Year Founded
2019
HQ Location
Santa Clara, US
Twitter
@infinyon
422 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Akka is a platform to build and run apps that are elastic, agile, and resilient. Industry titans and disruptors rely on Akka when application responsiveness must be guaranteed. Engineering teams use a

    Users
    • Software Engineer
    Industries
    • Computer Software
    Market Segment
    • 40% Small-Business
    • 30% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Akka features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    akka.io
    Year Founded
    2011
    HQ Location
    San Francisco, US
    Twitter
    @akka_io_
    26,386 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    74 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Akka is a platform to build and run apps that are elastic, agile, and resilient. Industry titans and disruptors rely on Akka when application responsiveness must be guaranteed. Engineering teams use a

Users
  • Software Engineer
Industries
  • Computer Software
Market Segment
  • 40% Small-Business
  • 30% Mid-Market
Akka features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
akka.io
Year Founded
2011
HQ Location
San Francisco, US
Twitter
@akka_io_
26,386 Twitter followers
LinkedIn® Page
www.linkedin.com
74 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Enterprise
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Kinesis Data 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
    Analytics
    1
    Cloud Services
    1
    Cost Saving
    1
    Easy Integrations
    1
    Integrations
    1
    Cons
    Complexity
    1
    Complexity Issues
    1
    Complex Setup
    1
    Cost Management
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis Data Analytics features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.8
    10.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,572 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 Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integr

Users
No information available
Industries
No information available
Market Segment
  • 64% Enterprise
  • 29% Small-Business
Amazon Kinesis Data 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
Analytics
1
Cloud Services
1
Cost Saving
1
Easy Integrations
1
Integrations
1
Cons
Complexity
1
Complexity Issues
1
Complex Setup
1
Cost Management
1
Learning Curve
1
Amazon Kinesis Data Analytics features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.9
8.3
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.8
10.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,572 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.

    PubNub is used by software development teams as part of a modern application stack to power features that require real-time communication and collaboration between users, at any scale. PubNub makes it

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 65% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PubNub 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
    Chat Functionality
    3
    Customer Support
    3
    API Integration
    2
    API Quality
    2
    Data Security
    2
    Cons
    Billing Issues
    1
    Data Management
    1
    Data Management Issues
    1
    Difficult Navigation
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PubNub features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Data Sources
    Average: 8.6
    7.7
    Data Processing
    Average: 8.8
    8.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    PubNub
    Company Website
    Year Founded
    2010
    HQ Location
    San Francisco, California
    Twitter
    @PubNub
    17,926 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

PubNub is used by software development teams as part of a modern application stack to power features that require real-time communication and collaboration between users, at any scale. PubNub makes it

Users
No information available
Industries
  • Computer Software
Market Segment
  • 65% Small-Business
  • 29% Enterprise
PubNub 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
Chat Functionality
3
Customer Support
3
API Integration
2
API Quality
2
Data Security
2
Cons
Billing Issues
1
Data Management
1
Data Management Issues
1
Difficult Navigation
1
Expensive
1
PubNub features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.0
Data Sources
Average: 8.6
7.7
Data Processing
Average: 8.8
8.3
Real-Time Processing
Average: 9.1
Seller Details
Seller
PubNub
Company Website
Year Founded
2010
HQ Location
San Francisco, California
Twitter
@PubNub
17,926 Twitter followers
LinkedIn® Page
www.linkedin.com
120 employees on LinkedIn®
(12)4.3 out of 5
View top Consulting Services for Oracle Cloud Infrastructure Streaming
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Oracle Cloud Infrastructure Streaming service provides a fully managed, scalable, and durable solution for ingesting and consuming high-volume data streams in real-time. Use Streaming for any use

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Cloud Infrastructure Streaming features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Data Sources
    Average: 8.6
    8.9
    Data Processing
    Average: 8.8
    8.9
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    823,332 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    198,071 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

The Oracle Cloud Infrastructure Streaming service provides a fully managed, scalable, and durable solution for ingesting and consuming high-volume data streams in real-time. Use Streaming for any use

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 33% Enterprise
Oracle Cloud Infrastructure Streaming features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.9
8.9
Data Sources
Average: 8.6
8.9
Data Processing
Average: 8.8
8.9
Real-Time Processing
Average: 9.1
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
823,332 Twitter followers
LinkedIn® Page
www.linkedin.com
198,071 employees on LinkedIn®
Ownership
NYSE:ORCL
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Estuary is the dependable Right-Time Data Platform that unifies CDC, batch, streaming, and app-sync pipelines into one managed system. Instead of stitching together brittle stacks like Kafka + Debeziu

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 58% Mid-Market
    • 39% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Estuary 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
    Customer Support
    15
    Ease of Use
    13
    Setup Ease
    12
    Easy Integrations
    11
    User Interface
    10
    Cons
    Steep Learning Curve
    6
    UX Improvement
    6
    Connector Issues
    5
    Learning Curve
    5
    Data Management Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Estuary features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 8.9
    9.3
    Data Sources
    Average: 8.6
    8.7
    Data Processing
    Average: 8.8
    9.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Estuary
    Year Founded
    2019
    HQ Location
    NY, NY
    Twitter
    @EstuaryDev
    285 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Estuary is the dependable Right-Time Data Platform that unifies CDC, batch, streaming, and app-sync pipelines into one managed system. Instead of stitching together brittle stacks like Kafka + Debeziu

Users
No information available
Industries
  • Computer Software
Market Segment
  • 58% Mid-Market
  • 39% Small-Business
Estuary 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
Customer Support
15
Ease of Use
13
Setup Ease
12
Easy Integrations
11
User Interface
10
Cons
Steep Learning Curve
6
UX Improvement
6
Connector Issues
5
Learning Curve
5
Data Management Issues
4
Estuary features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 8.9
9.3
Data Sources
Average: 8.6
8.7
Data Processing
Average: 8.8
9.3
Real-Time Processing
Average: 9.1
Seller Details
Seller
Estuary
Year Founded
2019
HQ Location
NY, NY
Twitter
@EstuaryDev
285 Twitter followers
LinkedIn® Page
www.linkedin.com
51 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS Event Stream Processing continuously ingests, processes and delivers insights on live data stream detecting patterns of interest, predictive results, and pattern detection. No stream of data is t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Event Stream Processing 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
    2
    Efficiency
    2
    Integrations
    2
    Streaming
    2
    Analytics
    1
    Cons
    Slow Performance
    3
    Data Management Issues
    1
    Integration Issues
    1
    Limited Availability
    1
    Limited Community Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Event Stream Processing features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Sources
    Average: 8.6
    9.3
    Data Processing
    Average: 8.8
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,105 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Event Stream Processing continuously ingests, processes and delivers insights on live data stream detecting patterns of interest, predictive results, and pattern detection. No stream of data is t

Users
No information available
Industries
No information available
Market Segment
  • 63% Mid-Market
  • 25% Small-Business
SAS Event Stream Processing 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
2
Efficiency
2
Integrations
2
Streaming
2
Analytics
1
Cons
Slow Performance
3
Data Management Issues
1
Integration Issues
1
Limited Availability
1
Limited Community Support
1
SAS Event Stream Processing features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Sources
Average: 8.6
9.3
Data Processing
Average: 8.8
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,105 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
Phone
1-800-727-0025