Introducing G2.ai, the future of software buying.Try now

Best Event Stream Processing Software for Medium-Sized Businesses

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall Event Stream Processing category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Event Stream Processing to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Event Stream Processing category.

In addition to qualifying for inclusion in the Event Stream Processing Software category, to qualify for inclusion in the Medium-Sized Business Event Stream Processing Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

Show More
Show Less

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.

1 filter applied
Clear All
8 Listings in Event Stream Processing Available
(239)4.3 out of 5
5th Easiest To Use in Event Stream Processing software
Save to My Lists
Entry Level Price:Starting at $200.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-re

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 45% Mid-Market
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aiven for 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
    Ease of Use
    20
    Setup Ease
    18
    Customer Support
    14
    Management Ease
    11
    Deployment Ease
    10
    Cons
    Expensive
    16
    Limited Features
    6
    Poor Documentation
    6
    Complexity
    5
    Not User-Friendly
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aiven for Apache Kafka features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Data Sources
    Average: 8.6
    8.4
    Data Processing
    Average: 8.7
    8.5
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aiven
    Company Website
    Year Founded
    2016
    HQ Location
    Helsinki, Southern Finland
    Twitter
    @aiven_io
    3,631 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    440 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-re

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 45% Mid-Market
  • 29% Small-Business
Aiven for 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
Ease of Use
20
Setup Ease
18
Customer Support
14
Management Ease
11
Deployment Ease
10
Cons
Expensive
16
Limited Features
6
Poor Documentation
6
Complexity
5
Not User-Friendly
5
Aiven for Apache Kafka features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.3
Data Sources
Average: 8.6
8.4
Data Processing
Average: 8.7
8.5
Real-Time Processing
Average: 9.1
Seller Details
Seller
Aiven
Company Website
Year Founded
2016
HQ Location
Helsinki, Southern Finland
Twitter
@aiven_io
3,631 Twitter followers
LinkedIn® Page
www.linkedin.com
440 employees on LinkedIn®
  • 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
    API Integration
    1
    Cloud Services
    1
    Data Management
    1
    Fast Processing
    1
    Integrations
    1
    Cons
    Complexity
    1
    Complexity Issues
    1
    Complex Setup
    1
    Difficult Setup
    1
    Expensive
    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: 8.9
    9.1
    Data Sources
    Average: 8.6
    9.1
    Data Processing
    Average: 8.7
    9.4
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,945 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
API Integration
1
Cloud Services
1
Data Management
1
Fast Processing
1
Integrations
1
Cons
Complexity
1
Complexity Issues
1
Complex Setup
1
Difficult Setup
1
Expensive
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: 8.9
9.1
Data Sources
Average: 8.6
9.1
Data Processing
Average: 8.7
9.4
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,945 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(22)4.8 out of 5
2nd Easiest To Use in Event Stream Processing software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 64% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redpanda Data 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
    14
    Ease of Use
    13
    Performance
    8
    Speed
    7
    Features
    6
    Cons
    Complexity
    2
    Data Management Issues
    2
    Missing Features
    2
    Poor Documentation
    2
    Poor UI Design
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redpanda Data features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 8.9
    9.5
    Data Sources
    Average: 8.6
    9.8
    Data Processing
    Average: 8.7
    9.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @redpandadata
    5,275 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    176 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal

Users
No information available
Industries
  • Computer Software
Market Segment
  • 64% Mid-Market
  • 36% Small-Business
Redpanda Data 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
14
Ease of Use
13
Performance
8
Speed
7
Features
6
Cons
Complexity
2
Data Management Issues
2
Missing Features
2
Poor Documentation
2
Poor UI Design
2
Redpanda Data features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 8.9
9.5
Data Sources
Average: 8.6
9.8
Data Processing
Average: 8.7
9.3
Real-Time Processing
Average: 9.1
Seller Details
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@redpandadata
5,275 Twitter followers
LinkedIn® Page
www.linkedin.com
176 employees on LinkedIn®
(113)4.4 out of 5
7th Easiest To Use in Event Stream Processing software
Save to My Lists
  • 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
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 35% 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
    Documentation
    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: 8.9
    8.8
    Data Sources
    Average: 8.6
    8.8
    Data Processing
    Average: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,611 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
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 35% 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
Documentation
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: 8.9
8.8
Data Sources
Average: 8.6
8.8
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,611 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
(126)4.5 out of 5
6th Easiest To Use in Event Stream Processing software
View top Consulting Services for Apache Kafka
Save to My Lists
  • 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
    4
    Real-time Data
    3
    Ease of Use
    2
    Easy Integrations
    2
    Performance
    2
    Cons
    Resource Intensive Learning
    2
    Complexity
    1
    Debugging Issues
    1
    Learning Curve
    1
    Learning Difficulty
    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: 8.9
    8.7
    Data Sources
    Average: 8.6
    8.8
    Data Processing
    Average: 8.7
    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
    65,905 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
4
Real-time Data
3
Ease of Use
2
Easy Integrations
2
Performance
2
Cons
Resource Intensive Learning
2
Complexity
1
Debugging Issues
1
Learning Curve
1
Learning Difficulty
1
Apache Kafka features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.9
8.7
Data Sources
Average: 8.6
8.8
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,905 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
(623)4.3 out of 5
11th Easiest To Use in Event Stream Processing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Small-Business
    • 32% 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.
    • SAS Viya is a cloud-based platform designed to streamline data for further analysis, integrate advanced analytics and AI across a unified platform, and process large datasets efficiently.
    • Reviewers frequently mention the platform's ability to build statistical models, run predictive analysis, automate workflows, and support multiple languages, all within a single environment.
    • Users experienced complexity in the initial setup, high licensing costs, and a steep learning curve for new users, particularly when transitioning from traditional SAS environments.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Viya 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
    279
    Features
    199
    Analytics
    172
    Data Analysis
    143
    User Interface
    133
    Cons
    Learning Difficulty
    132
    Learning Curve
    129
    Complexity
    125
    Difficult Learning
    102
    Not User-Friendly
    96
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.9
    8.6
    Data Sources
    Average: 8.6
    8.7
    Data Processing
    Average: 8.7
    8.5
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,193 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,202 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Small-Business
  • 32% 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.
  • SAS Viya is a cloud-based platform designed to streamline data for further analysis, integrate advanced analytics and AI across a unified platform, and process large datasets efficiently.
  • Reviewers frequently mention the platform's ability to build statistical models, run predictive analysis, automate workflows, and support multiple languages, all within a single environment.
  • Users experienced complexity in the initial setup, high licensing costs, and a steep learning curve for new users, particularly when transitioning from traditional SAS environments.
SAS Viya 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
279
Features
199
Analytics
172
Data Analysis
143
User Interface
133
Cons
Learning Difficulty
132
Learning Curve
129
Complexity
125
Difficult Learning
102
Not User-Friendly
96
SAS Viya features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.9
8.6
Data Sources
Average: 8.6
8.7
Data Processing
Average: 8.7
8.5
Real-Time Processing
Average: 9.1
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,193 Twitter followers
LinkedIn® Page
www.linkedin.com
18,202 employees on LinkedIn®
(40)4.2 out of 5
10th Easiest To Use in Event Stream Processing software
Save to My Lists
  • 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: 8.7
    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
    65,905 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: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,905 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
(157)4.5 out of 5
3rd Easiest To Use in Event Stream Processing software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • 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
    8
    Ease of Use
    7
    Automation
    5
    Connectors
    5
    Flexibility
    5
    Cons
    Learning Curve
    4
    Complex Pricing
    3
    Complex Usability
    3
    Expensive
    3
    Limitations
    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: 8.7
    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
    3,104 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    140 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
8
Ease of Use
7
Automation
5
Connectors
5
Flexibility
5
Cons
Learning Curve
4
Complex Pricing
3
Complex Usability
3
Expensive
3
Limitations
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: 8.7
8.6
Real-Time Processing
Average: 9.1
Seller Details
Seller
Tray.io
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@tray
3,104 Twitter followers
LinkedIn® Page
www.linkedin.com
140 employees on LinkedIn®