2026 Best Software Awards are here!See the list

Best Stream Analytics Software - Page 3

Bijou Barry
BB
Researched and written by Bijou Barry

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

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

Monitor events pertaining to information exchange in real time
Alert users of device or network failures using triggers
Provide actionable analytical insights
Show More
Show Less

Best Stream Analytics Software At A Glance

Highest Performer:
Easiest to Use:
Top Trending:
Best Free Software:
Show LessShow More
Easiest to Use:
Top Trending:
Best Free Software:

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

No filters applied
77 Listings in Stream Analytics Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cribl Stream is an observability and data streaming platform for real-time processing of logs, metrics, traces, and observability data that enables the ITops/SRE/SecOps/O11y teams to collect the data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Enterprise
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cribl Stream features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Ease of Admin
    Average: 8.5
    9.0
    Quality of Support
    Average: 8.8
    9.0
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cribl
    Year Founded
    2018
    HQ Location
    San Francisco, CA
    Twitter
    @cribl_io
    2,378 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,124 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cribl Stream is an observability and data streaming platform for real-time processing of logs, metrics, traces, and observability data that enables the ITops/SRE/SecOps/O11y teams to collect the data

Users
No information available
Industries
No information available
Market Segment
  • 71% Enterprise
  • 29% Small-Business
Cribl Stream features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
8.3
Ease of Admin
Average: 8.5
9.0
Quality of Support
Average: 8.8
9.0
Ease of Use
Average: 8.7
Seller Details
Seller
Cribl
Year Founded
2018
HQ Location
San Francisco, CA
Twitter
@cribl_io
2,378 Twitter followers
LinkedIn® Page
www.linkedin.com
1,124 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: 9.0
    9.2
    Ease of Admin
    Average: 8.5
    9.4
    Quality of Support
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Decodable
    Year Founded
    2021
    HQ Location
    San Francisco, US
    Twitter
    @Decodableco
    2,700 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: 9.0
9.2
Ease of Admin
Average: 8.5
9.4
Quality of Support
Average: 8.8
8.5
Ease of Use
Average: 8.7
Seller Details
Seller
Decodable
Year Founded
2021
HQ Location
San Francisco, US
Twitter
@Decodableco
2,700 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
G2 Advertising
Sponsored
G2 Advertising
Get 2x conversion than Google Ads with G2 Advertising!
G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NETSCOUT’s Network & Application Observability solution is engineered for IT practitioners who need deep, real-time visibility into complex hybrid environments. Whether you're managing a sprawling

    Users
    No information available
    Industries
    • Telecommunications
    • Financial Services
    Market Segment
    • 43% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • NETSCOUT Network & Application Observability 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
    Monitoring
    18
    Issue Detection
    16
    Performance
    16
    Reliability
    15
    Ease of Use
    14
    Cons
    Difficult Learning
    12
    Complexity
    11
    Learning Curve
    11
    Complex Setup
    8
    Complex Configuration
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NETSCOUT Network & Application Observability features and usability ratings that predict user satisfaction
    6.9
    Has the product been a good partner in doing business?
    Average: 9.0
    7.4
    Ease of Admin
    Average: 8.5
    8.0
    Quality of Support
    Average: 8.8
    7.9
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NETSCOUT
    Company Website
    Year Founded
    1984
    HQ Location
    Westford, Mass.
    Twitter
    @NETSCOUT
    13,826 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,691 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

NETSCOUT’s Network & Application Observability solution is engineered for IT practitioners who need deep, real-time visibility into complex hybrid environments. Whether you're managing a sprawling

Users
No information available
Industries
  • Telecommunications
  • Financial Services
Market Segment
  • 43% Enterprise
  • 28% Mid-Market
NETSCOUT Network & Application Observability 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
Monitoring
18
Issue Detection
16
Performance
16
Reliability
15
Ease of Use
14
Cons
Difficult Learning
12
Complexity
11
Learning Curve
11
Complex Setup
8
Complex Configuration
7
NETSCOUT Network & Application Observability features and usability ratings that predict user satisfaction
6.9
Has the product been a good partner in doing business?
Average: 9.0
7.4
Ease of Admin
Average: 8.5
8.0
Quality of Support
Average: 8.8
7.9
Ease of Use
Average: 8.7
Seller Details
Seller
NETSCOUT
Company Website
Year Founded
1984
HQ Location
Westford, Mass.
Twitter
@NETSCOUT
13,826 Twitter followers
LinkedIn® Page
www.linkedin.com
2,691 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bi-directional hosted APIs that are flexible, scalable and easy to use. We create and maintain complex infrastructure so you can build the realtime features your users need, fast.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Pusher 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
    Ease of Admin
    Average: 8.5
    7.6
    Quality of Support
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Bird
    HQ Location
    Amsterdam, Netherlands
    Twitter
    @messagebird
    4,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    342 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bi-directional hosted APIs that are flexible, scalable and easy to use. We create and maintain complex infrastructure so you can build the realtime features your users need, fast.

Users
No information available
Industries
No information available
Market Segment
  • 64% Small-Business
  • 36% Mid-Market
Pusher 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
Ease of Admin
Average: 8.5
7.6
Quality of Support
Average: 8.8
8.5
Ease of Use
Average: 8.7
Seller Details
Seller
Bird
HQ Location
Amsterdam, Netherlands
Twitter
@messagebird
4,087 Twitter followers
LinkedIn® Page
www.linkedin.com
342 employees on LinkedIn®
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: 9.0
    8.7
    Ease of Admin
    Average: 8.5
    9.8
    Quality of Support
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Estuary
    Year Founded
    2019
    HQ Location
    NY, NY
    Twitter
    @EstuaryDev
    287 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: 9.0
8.7
Ease of Admin
Average: 8.5
9.8
Quality of Support
Average: 8.8
8.7
Ease of Use
Average: 8.7
Seller Details
Seller
Estuary
Year Founded
2019
HQ Location
NY, NY
Twitter
@EstuaryDev
287 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.

    Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable i

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera Data Flow 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
    Ease of Admin
    Average: 8.5
    7.8
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    106,722 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,338 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable i

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Mid-Market
Cloudera Data Flow 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
Ease of Admin
Average: 8.5
7.8
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
106,722 Twitter followers
LinkedIn® Page
www.linkedin.com
3,338 employees on LinkedIn®
Phone
888-789-1488
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected sit

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GigaSpaces features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.5
    Ease of Admin
    Average: 8.5
    8.3
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2000
    HQ Location
    New York City, NY, USA
    Twitter
    @GigaSpaces
    2,785 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    123 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected sit

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 36% Mid-Market
GigaSpaces features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
7.5
Ease of Admin
Average: 8.5
8.3
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Year Founded
2000
HQ Location
New York City, NY, USA
Twitter
@GigaSpaces
2,785 Twitter followers
LinkedIn® Page
www.linkedin.com
123 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: 9.0
    8.9
    Ease of Admin
    Average: 8.5
    8.9
    Quality of Support
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NetApp
    Year Founded
    1992
    HQ Location
    Sunnyvale, California
    Twitter
    @NetApp
    118,398 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: 9.0
8.9
Ease of Admin
Average: 8.5
8.9
Quality of Support
Average: 8.8
9.2
Ease of Use
Average: 8.7
Seller Details
Seller
NetApp
Year Founded
1992
HQ Location
Sunnyvale, California
Twitter
@NetApp
118,398 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.

    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
    8.3
    Ease of Admin
    Average: 8.5
    10.0
    Quality of Support
    Average: 8.8
    8.9
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    Melbourne, AU
    Twitter
    @factorhousehq
    125 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
8.3
Ease of Admin
Average: 8.5
10.0
Quality of Support
Average: 8.8
8.9
Ease of Use
Average: 8.7
Seller Details
Company Website
Year Founded
2019
HQ Location
Melbourne, AU
Twitter
@factorhousehq
125 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
    7.2
    Ease of Admin
    Average: 8.5
    7.8
    Quality of Support
    Average: 8.8
    7.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2009
    HQ Location
    Bedford, US
    Twitter
    @VoltActiveData
    5,200 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
7.2
Ease of Admin
Average: 8.5
7.8
Quality of Support
Average: 8.8
7.5
Ease of Use
Average: 8.7
Seller Details
Year Founded
2009
HQ Location
Bedford, US
Twitter
@VoltActiveData
5,200 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.

    Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driv

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Crosser 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
    Easy Integrations
    2
    Integrations
    2
    Analytics
    1
    Cloud Integration
    1
    Cons
    Difficult Setup
    1
    Initial Difficulties
    1
    Poor Customer Support
    1
    Poor Documentation
    1
    Poor Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crosser features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.3
    Quality of Support
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Stockholm, SE
    Twitter
    @crossertech
    982 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driv

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
Crosser 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
Easy Integrations
2
Integrations
2
Analytics
1
Cloud Integration
1
Cons
Difficult Setup
1
Initial Difficulties
1
Poor Customer Support
1
Poor Documentation
1
Poor Support
1
Crosser features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.3
Quality of Support
Average: 8.8
9.2
Ease of Use
Average: 8.7
Seller Details
Year Founded
2016
HQ Location
Stockholm, SE
Twitter
@crossertech
982 Twitter followers
LinkedIn® Page
www.linkedin.com
23 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Real-Time, streaming Big Data analytics and integration

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Guavus SQLstream features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.3
    Quality of Support
    Average: 8.8
    7.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SQLstream
    Year Founded
    2009
    HQ Location
    San Francisco, US
    Twitter
    @SQLstream
    443 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
    Phone
    877-571-5775
Product Description
How are these determined?Information
This description is provided by the seller.

Real-Time, streaming Big Data analytics and integration

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
  • 50% Enterprise
Guavus SQLstream features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.3
Quality of Support
Average: 8.8
7.5
Ease of Use
Average: 8.7
Seller Details
Seller
SQLstream
Year Founded
2009
HQ Location
San Francisco, US
Twitter
@SQLstream
443 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
Phone
877-571-5775
  • 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% Enterprise
  • 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
    8.0
    Ease of Admin
    Average: 8.5
    8.7
    Quality of Support
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hazelcast
    Year Founded
    2010
    HQ Location
    Palo Alto, US
    Twitter
    @hazelcast
    9,423 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152 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% Enterprise
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
8.0
Ease of Admin
Average: 8.5
8.7
Quality of Support
Average: 8.8
8.5
Ease of Use
Average: 8.7
Seller Details
Seller
Hazelcast
Year Founded
2010
HQ Location
Palo Alto, US
Twitter
@hazelcast
9,423 Twitter followers
LinkedIn® Page
www.linkedin.com
152 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% Mid-Market
    • 50% Enterprise
  • 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
    Ease of Admin
    Average: 8.5
    10.0
    Quality of Support
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,345 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,337 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% Mid-Market
  • 50% Enterprise
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
Ease of Admin
Average: 8.5
10.0
Quality of Support
Average: 8.8
8.3
Ease of Use
Average: 8.7
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,345 Twitter followers
LinkedIn® Page
www.linkedin.com
5,337 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    StarRocks is a next-gen, high-performance analytical data warehouse that enables real-time, multi-dimensional, and highly concurrent data analysis. StarRocks has an MPP architecture and is equipped wi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • StarRocks features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Ease of Admin
    Average: 8.5
    10.0
    Quality of Support
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    StarRocks
    Year Founded
    2022
    HQ Location
    Menlo Park, US
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

StarRocks is a next-gen, high-performance analytical data warehouse that enables real-time, multi-dimensional, and highly concurrent data analysis. StarRocks has an MPP architecture and is equipped wi

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
StarRocks features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
9.2
Ease of Admin
Average: 8.5
10.0
Quality of Support
Average: 8.8
9.2
Ease of Use
Average: 8.7
Seller Details
Seller
StarRocks
Year Founded
2022
HQ Location
Menlo Park, US
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®