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

Best Event Stream Processing Software - Page 3

Blue Bowen
BB
Researched and written by Blue Bowen

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
Show More
Show Less

Featured Event Stream Processing Software At A Glance

Free Plan Available:
Kpow for Apache Kafka®
Sponsored
Highest Performer:
Easiest to Use:
Top Trending:
Show LessShow More
Highest Performer:
Easiest to Use:
Top Trending:

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.

Coming Soon
Get Trending Event Stream Processing Products in Your Inbox

A weekly snapshot of rising stars, new launches, and what everyone's buzzing about.

Sample Trending Products Newsletter
No filters applied
72 Listings in Event Stream Processing Available
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming acr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Lenses 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 Management
    2
    Ease of Use
    2
    Reliability
    2
    User Interface
    2
    Alerting System
    1
    Cons
    Feature Limitations
    1
    Insufficient Information
    1
    Lack of Information
    1
    Limitations
    1
    Messaging Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Lenses features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    7.5
    Data Sources
    Average: 8.6
    7.7
    Data Processing
    Average: 8.7
    8.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    London, England
    Twitter
    @lensesio
    739 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming acr

Users
No information available
Industries
No information available
Market Segment
  • 47% Enterprise
  • 35% Mid-Market
Lenses 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 Management
2
Ease of Use
2
Reliability
2
User Interface
2
Alerting System
1
Cons
Feature Limitations
1
Insufficient Information
1
Lack of Information
1
Limitations
1
Messaging Issues
1
Lenses features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
7.5
Data Sources
Average: 8.6
7.7
Data Processing
Average: 8.7
8.0
Real-Time Processing
Average: 9.1
Seller Details
Company Website
Year Founded
2016
HQ Location
London, England
Twitter
@lensesio
739 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Upsolver lets you build at-scale data pipelines in days rather than months. You can ingest complex and streaming data via built-in connectors, define transformations using SQL commands, and output tab

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Mid-Market
    • 38% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Upsolver features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Upsolver
    Year Founded
    2014
    HQ Location
    Sunnyvale, California
    Twitter
    @upsolver
    550 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Upsolver lets you build at-scale data pipelines in days rather than months. You can ingest complex and streaming data via built-in connectors, define transformations using SQL commands, and output tab

Users
No information available
Industries
No information available
Market Segment
  • 46% Mid-Market
  • 38% Small-Business
Upsolver features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Upsolver
Year Founded
2014
HQ Location
Sunnyvale, California
Twitter
@upsolver
550 Twitter followers
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®

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
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Small-Business
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataStax 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
    12
    Customer Support
    9
    Features
    8
    Implementation Ease
    7
    Ease of Setup
    6
    Cons
    Learning Difficulty
    4
    Data Management Issues
    3
    Difficult Learning
    3
    Learning Curve
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.7
    Data Sources
    Average: 8.6
    8.0
    Data Processing
    Average: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    LinkedIn® Page
    www.linkedin.com
    425 employees on LinkedIn®
    Phone
    650-389-6000
Product Description
How are these determined?Information
This description is provided by the seller.

DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Small-Business
  • 30% Enterprise
DataStax 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
12
Customer Support
9
Features
8
Implementation Ease
7
Ease of Setup
6
Cons
Learning Difficulty
4
Data Management Issues
3
Difficult Learning
3
Learning Curve
3
Complexity
2
DataStax features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
8.7
Data Sources
Average: 8.6
8.0
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
DataStax
Year Founded
2010
HQ Location
Santa Clara, CA
LinkedIn® Page
www.linkedin.com
425 employees on LinkedIn®
Phone
650-389-6000
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GridGain® is an in-memory computing platform solution designed to help organizations manage and process large volumes of data in real-time. Built on the robust Apache® Ignite™ framework, GridGain enab

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 69% Small-Business
    • 19% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GridGain 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 Analytics
    4
    Real-time Processing
    4
    Scalability
    4
    Fast Communication
    3
    Features
    2
    Cons
    Learning Curve
    5
    Steep Learning Curve
    4
    Difficult Setup
    2
    Expensive
    2
    Complex Implementation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GridGain features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 9.0
    9.3
    Data Sources
    Average: 8.6
    10.0
    Data Processing
    Average: 8.7
    9.7
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2007
    HQ Location
    Foster City, California
    Twitter
    @gridgain
    5,532 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    139 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GridGain® is an in-memory computing platform solution designed to help organizations manage and process large volumes of data in real-time. Built on the robust Apache® Ignite™ framework, GridGain enab

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 69% Small-Business
  • 19% Mid-Market
GridGain 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 Analytics
4
Real-time Processing
4
Scalability
4
Fast Communication
3
Features
2
Cons
Learning Curve
5
Steep Learning Curve
4
Difficult Setup
2
Expensive
2
Complex Implementation
1
GridGain features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 9.0
9.3
Data Sources
Average: 8.6
10.0
Data Processing
Average: 8.7
9.7
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2007
HQ Location
Foster City, California
Twitter
@gridgain
5,532 Twitter followers
LinkedIn® Page
www.linkedin.com
139 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Cloud Mass Ingestion is a cloud-native solution designed to facilitate the rapid and efficient ingestion and replication of enterprise data into cloud data warehouses, lakes, and messaging

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 40% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Cloud Mass Ingestion features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.7
    8.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Cloud Mass Ingestion is a cloud-native solution designed to facilitate the rapid and efficient ingestion and replication of enterprise data into cloud data warehouses, lakes, and messaging

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 40% Enterprise
Informatica Cloud Mass Ingestion features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
6.7
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.7
8.3
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,074 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kpow 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
    Affordability
    1
    Setup Ease
    1
    User Interface
    1
    Cons
    Data Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kpow for 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
    9.2
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.7
    8.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    Melbourne, AU
    Twitter
    @factorhousehq
    127 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 25% Enterprise
Kpow 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
Affordability
1
Setup Ease
1
User Interface
1
Cons
Data Management Issues
1
Kpow for 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
9.2
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.7
8.3
Real-Time Processing
Average: 9.1
Seller Details
Company Website
Year Founded
2019
HQ Location
Melbourne, AU
Twitter
@factorhousehq
127 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring busine

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hazelcast Platform 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
    1
    Fast Processing
    1
    Flexibility
    1
    Performance
    1
    Performance Efficiency
    1
    Cons
    Learning Curve
    1
    Navigation Difficulty
    1
    Not User-Friendly
    1
    Poor UI
    1
    Time-Consuming
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hazelcast Platform 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
    Data Sources
    Average: 8.6
    9.2
    Data Processing
    Average: 8.7
    10.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hazelcast
    Year Founded
    2010
    HQ Location
    Palo Alto, US
    Twitter
    @hazelcast
    9,485 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    153 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring busine

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 23% Mid-Market
Hazelcast Platform 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
1
Fast Processing
1
Flexibility
1
Performance
1
Performance Efficiency
1
Cons
Learning Curve
1
Navigation Difficulty
1
Not User-Friendly
1
Poor UI
1
Time-Consuming
1
Hazelcast Platform 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
Data Sources
Average: 8.6
9.2
Data Processing
Average: 8.7
10.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
Hazelcast
Year Founded
2010
HQ Location
Palo Alto, US
Twitter
@hazelcast
9,485 Twitter followers
LinkedIn® Page
www.linkedin.com
153 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Proficy Historian is industrial software used to collect, archive, and analyze time-series data from production equipment, sensors, and control systems in manufacturing and utility environments. En

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Proficy Historian 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
    Efficiency
    1
    Inventory Management
    1
    Manufacturing Integration
    1
    Performance Efficiency
    1
    Cons
    Complex Usability
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Proficy Historian features and usability ratings that predict user satisfaction
    0.0
    No information available
    5.0
    Data Sources
    Average: 8.6
    5.0
    Data Processing
    Average: 8.7
    8.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Cambridge, MA
    LinkedIn® Page
    www.linkedin.com
    Ownership
    NYSE:GEV
Product Description
How are these determined?Information
This description is provided by the seller.

Proficy Historian is industrial software used to collect, archive, and analyze time-series data from production equipment, sensors, and control systems in manufacturing and utility environments. En

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Proficy Historian 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
Efficiency
1
Inventory Management
1
Manufacturing Integration
1
Performance Efficiency
1
Cons
Complex Usability
1
Slow Performance
1
Proficy Historian features and usability ratings that predict user satisfaction
0.0
No information available
5.0
Data Sources
Average: 8.6
5.0
Data Processing
Average: 8.7
8.3
Real-Time Processing
Average: 9.1
Seller Details
HQ Location
Cambridge, MA
LinkedIn® Page
www.linkedin.com
Ownership
NYSE:GEV
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SnappyData fuses Apache Spark with an in-memory database to deliver a data engine capable of stream processing, transactions and interactive analytics in a single cluster.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SnappyData 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
    Data Sources
    Average: 8.6
    8.9
    Data Processing
    Average: 8.7
    8.9
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Fort Lauderdale, FL
    Twitter
    @cloudsoftware
    118 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,165 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SnappyData fuses Apache Spark with an in-memory database to deliver a data engine capable of stream processing, transactions and interactive analytics in a single cluster.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
SnappyData 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
Data Sources
Average: 8.6
8.9
Data Processing
Average: 8.7
8.9
Real-Time Processing
Average: 9.1
Seller Details
HQ Location
Fort Lauderdale, FL
Twitter
@cloudsoftware
118 Twitter followers
LinkedIn® Page
www.linkedin.com
10,165 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Solace Platform is an event-driven integration and streaming platform. Solace helps enterprises connect and integrate anything, anywhere, reliably and in real-time, through the power of event-drive

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Enterprise
    • 14% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Solace Platform 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
    Flexibility
    2
    Customer Support
    1
    Deployment Ease
    1
    Performance Efficiency
    1
    Scalability
    1
    Cons
    Complexity
    1
    Difficult Learning
    1
    Expensive
    1
    Messaging Issues
    1
    Open-Source Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Solace Platform features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Sources
    Average: 8.6
    0.0
    No information available
    10.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Solace
    Year Founded
    2001
    HQ Location
    Kanata, CA
    Twitter
    @solacedotcom
    6,215 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    669 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Solace Platform is an event-driven integration and streaming platform. Solace helps enterprises connect and integrate anything, anywhere, reliably and in real-time, through the power of event-drive

Users
No information available
Industries
No information available
Market Segment
  • 71% Enterprise
  • 14% Mid-Market
Solace Platform 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
Flexibility
2
Customer Support
1
Deployment Ease
1
Performance Efficiency
1
Scalability
1
Cons
Complexity
1
Difficult Learning
1
Expensive
1
Messaging Issues
1
Open-Source Limitations
1
Solace Platform features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Sources
Average: 8.6
0.0
No information available
10.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
Solace
Year Founded
2001
HQ Location
Kanata, CA
Twitter
@solacedotcom
6,215 Twitter followers
LinkedIn® Page
www.linkedin.com
669 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Streamkap is a change data capture platform for syncing data in real-time from databases to a number of destinations including data warehouses, data lakes and real-time destinations.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Streamkap features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Data Sources
    Average: 8.6
    10.0
    Data Processing
    Average: 8.7
    10.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    San Francisco, US
    Twitter
    @Streamkap
    100 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Streamkap is a change data capture platform for syncing data in real-time from databases to a number of destinations including data warehouses, data lakes and real-time destinations.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Streamkap features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
Data Sources
Average: 8.6
10.0
Data Processing
Average: 8.7
10.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2022
HQ Location
San Francisco, US
Twitter
@Streamkap
100 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Volt Active Data Platform enables companies to unlock the full value of their data and applications by making it possible to have scale without compromising on speed, accuracy, or consistency. Bas

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Volt Active Data features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2009
    HQ Location
    Bedford, US
    Twitter
    @VoltActiveData
    5,212 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Volt Active Data Platform enables companies to unlock the full value of their data and applications by making it possible to have scale without compromising on speed, accuracy, or consistency. Bas

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Volt Active Data features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2009
HQ Location
Bedford, US
Twitter
@VoltActiveData
5,212 Twitter followers
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Unleash the power of real-time analytics with trusted, low-code IoT and stream processing.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Data Engineering Streaming features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.7
    8.3
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Unleash the power of real-time analytics with trusted, low-code IoT and stream processing.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Informatica Data Engineering Streaming features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.7
8.3
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,074 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Seller Details
    Expand/Collapse Seller Details
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alloy Flow is a no-code/low-code integration platform that lets you build automated workflows between apps using a drag-and-drop interface. It handles authentication, field mapping, and data orchestra

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alloy Flow 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
    Alloy
    Year Founded
    2019
    HQ Location
    New York, NY
    Twitter
    @AlloyAutomation
    5,821 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alloy Flow is a no-code/low-code integration platform that lets you build automated workflows between apps using a drag-and-drop interface. It handles authentication, field mapping, and data orchestra

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Alloy Flow 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
Alloy
Year Founded
2019
HQ Location
New York, NY
Twitter
@AlloyAutomation
5,821 Twitter followers
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®