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Best Enterprise Big Data Integration Platforms

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Big Data Integration Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Big Data Integration Platforms 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 Enterprise Business Big Data Integration Platforms category.

In addition to qualifying for inclusion in the Big Data Integration Platforms category, to qualify for inclusion in the Enterprise Business Big Data Integration Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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

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30 Listings in Enterprise Big Data Integration Platforms Available

(1,201)4.5 out of 5
4th Easiest To Use in Big Data Integration Platforms software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery 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
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.4
    Quality of Support
    Average: 8.9
    8.7
    Ease of Use
    Average: 8.9
    8.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,524,859 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery 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
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.4
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
8.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,524,859 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(665)4.6 out of 5
Optimized for quick response
7th Easiest To Use in Big Data Integration Platforms software
View top Consulting Services for Alteryx
Save to My Lists
Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 63% Enterprise
    • 22% 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.
    • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx 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
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    Slow Performance
    40
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    8.5
    Quality of Support
    Average: 8.9
    8.7
    Ease of Use
    Average: 8.9
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,367 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 63% Enterprise
  • 22% 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.
  • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
Alteryx 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
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
Slow Performance
40
Alteryx features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.5
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,367 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®

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(712)4.7 out of 5
Optimized for quick response
3rd Easiest To Use in Big Data Integration Platforms software
View top Consulting Services for Workato
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Workato is the enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

    Users
    • Software Engineer
    • Integration Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Mid-Market
    • 35% Enterprise
    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.
    • Workato is a low code, no code tool designed to create automation solutions and integrate systems like Zendesk and Google Sheets.
    • Users frequently mention the platform's intuitive nature, ease of use, smooth implementation, wide range of connectors, and the ability to clone or reuse recipes, which saves time and encourages safe experimentation.
    • Reviewers noted issues with transparency into cost structure, stringent constraints imposed by Workato development, difficulties with initial integration, and occasional freezing when the job-queue increases.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Workato 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
    277
    Integrations
    183
    Easy Integrations
    175
    Automation
    148
    Features
    140
    Cons
    Expensive
    58
    Complexity
    55
    Data Limitations
    54
    Learning Curve
    50
    Missing Features
    46
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Workato features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.9
    9.2
    Quality of Support
    Average: 8.9
    9.0
    Ease of Use
    Average: 8.9
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Workato
    Company Website
    Year Founded
    2013
    HQ Location
    Mountain View, California
    Twitter
    @Workato
    3,563 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Workato is the enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

Users
  • Software Engineer
  • Integration Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Mid-Market
  • 35% Enterprise
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.
  • Workato is a low code, no code tool designed to create automation solutions and integrate systems like Zendesk and Google Sheets.
  • Users frequently mention the platform's intuitive nature, ease of use, smooth implementation, wide range of connectors, and the ability to clone or reuse recipes, which saves time and encourages safe experimentation.
  • Reviewers noted issues with transparency into cost structure, stringent constraints imposed by Workato development, difficulties with initial integration, and occasional freezing when the job-queue increases.
Workato 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
277
Integrations
183
Easy Integrations
175
Automation
148
Features
140
Cons
Expensive
58
Complexity
55
Data Limitations
54
Learning Curve
50
Missing Features
46
Workato features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.9
9.2
Quality of Support
Average: 8.9
9.0
Ease of Use
Average: 8.9
9.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,563 Twitter followers
LinkedIn® Page
www.linkedin.com
1,291 employees on LinkedIn®
(87)4.6 out of 5
View top Consulting Services for Azure Data Factory
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and T

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 63% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Data Factory 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
    6
    Connectors
    5
    Data Integration
    4
    Simple
    4
    Automation
    3
    Cons
    Feature Limitations
    3
    Complex Processes
    2
    Complex Usability
    2
    Connectivity Issues
    2
    Data Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Factory features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.9
    8.8
    Quality of Support
    Average: 8.8
    8.9
    Ease of Use
    Average: 8.9
    8.6
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,090,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and T

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 63% Enterprise
  • 29% Mid-Market
Azure Data Factory 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
6
Connectors
5
Data Integration
4
Simple
4
Automation
3
Cons
Feature Limitations
3
Complex Processes
2
Complex Usability
2
Connectivity Issues
2
Data Limitations
2
Azure Data Factory features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.9
8.8
Quality of Support
Average: 8.8
8.9
Ease of Use
Average: 8.9
8.6
Ease of Admin
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,090,087 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(667)4.6 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Integration Platforms software
View top Consulting Services for Snowflake
Save to My Lists
Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    84
    Features
    64
    Data Management
    61
    Integrations
    57
    Scalability
    54
    Cons
    Expensive
    46
    Cost
    26
    Cost Management
    23
    Learning Curve
    22
    Feature Limitations
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.7
    Quality of Support
    Average: 8.9
    9.0
    Ease of Use
    Average: 8.9
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    161 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 42% Mid-Market
Snowflake 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
84
Features
64
Data Management
61
Integrations
57
Scalability
54
Cons
Expensive
46
Cost
26
Cost Management
23
Learning Curve
22
Feature Limitations
20
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.7
Quality of Support
Average: 8.9
9.0
Ease of Use
Average: 8.9
8.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
161 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Redshift 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
    7
    Integrations
    6
    Speed
    6
    Fast Querying
    5
    Large Datasets
    5
    Cons
    Complexity
    5
    Feature Limitations
    5
    Software Limitations
    5
    Query Issues
    4
    Query Optimization
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Redshift features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.5
    Quality of Support
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.9
    8.4
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,637 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Enterprise
  • 38% Mid-Market
Amazon Redshift 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
7
Integrations
6
Speed
6
Fast Querying
5
Large Datasets
5
Cons
Complexity
5
Feature Limitations
5
Software Limitations
5
Query Issues
4
Query Optimization
4
Amazon Redshift features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.5
Quality of Support
Average: 8.8
8.7
Ease of Use
Average: 8.9
8.4
Ease of Admin
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,637 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(136)4.5 out of 5
Optimized for quick response
13th Easiest To Use in Big Data Integration Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Mid-Market
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Astro by Astronomer 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
    25
    Efficiency Improvement
    14
    User Interface
    13
    Automation
    11
    Deployment Ease
    10
    Cons
    Expensive
    8
    Learning Difficulty
    8
    Learning Curve
    6
    Difficult Learning
    5
    Feature Limitations
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astro by Astronomer features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Quality of Support
    Average: 8.9
    9.0
    Ease of Use
    Average: 8.9
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    20,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,712 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Mid-Market
  • 38% Enterprise
Astro by Astronomer 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
25
Efficiency Improvement
14
User Interface
13
Automation
11
Deployment Ease
10
Cons
Expensive
8
Learning Difficulty
8
Learning Curve
6
Difficult Learning
5
Feature Limitations
5
Astro by Astronomer features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.9
Quality of Support
Average: 8.9
9.0
Ease of Use
Average: 8.9
8.8
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
20,074 Twitter followers
LinkedIn® Page
www.linkedin.com
4,712 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrat

    Users
    • Data Engineer
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SnapLogic Intelligent Integration Platform (IIP) 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
    66
    Easy Integrations
    54
    User Interface
    43
    Integrations
    38
    Customer Support
    32
    Cons
    Performance Issues
    24
    Poor Performance
    21
    Technical Difficulties
    16
    Error Reporting
    15
    Learning Curve
    15
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Quality of Support
    Average: 8.9
    8.8
    Ease of Use
    Average: 8.9
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SnapLogic
    Company Website
    Year Founded
    2006
    HQ Location
    San Mateo, CA
    Twitter
    @SnapLogic
    7,383 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    357 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrat

Users
  • Data Engineer
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 35% Mid-Market
SnapLogic Intelligent Integration Platform (IIP) 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
66
Easy Integrations
54
User Interface
43
Integrations
38
Customer Support
32
Cons
Performance Issues
24
Poor Performance
21
Technical Difficulties
16
Error Reporting
15
Learning Curve
15
SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.3
Quality of Support
Average: 8.9
8.8
Ease of Use
Average: 8.9
8.6
Ease of Admin
Average: 8.5
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,383 Twitter followers
LinkedIn® Page
www.linkedin.com
357 employees on LinkedIn®
(115)4.0 out of 5
Optimized for quick response
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    27
    User Interface
    15
    Data Management
    13
    Data Pipelining
    12
    Integrations
    12
    Cons
    Learning Curve
    12
    Expensive
    8
    Steep Learning Curve
    8
    Learning Difficulty
    7
    Poor Documentation
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.9
    8.0
    Quality of Support
    Average: 8.9
    8.4
    Ease of Use
    Average: 8.9
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 34% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
27
User Interface
15
Data Management
13
Data Pipelining
12
Integrations
12
Cons
Learning Curve
12
Expensive
8
Steep Learning Curve
8
Learning Difficulty
7
Poor Documentation
7
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.9
8.0
Quality of Support
Average: 8.9
8.4
Ease of Use
Average: 8.9
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(24)4.9 out of 5
2nd Easiest To Use in Big Data Integration Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% 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.
    • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
    • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
    • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM 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
    17
    Features
    17
    Integrations
    17
    Setup Ease
    16
    Easy Integrations
    15
    Cons
    Complex Setup
    9
    Difficult Setup
    9
    Learning Curve
    9
    UX Improvement
    8
    Complexity
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 8.9
    9.5
    Quality of Support
    Average: 8.9
    9.3
    Ease of Use
    Average: 8.9
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% 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.
  • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
  • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
  • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
ILUM 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
17
Features
17
Integrations
17
Setup Ease
16
Easy Integrations
15
Cons
Complex Setup
9
Difficult Setup
9
Learning Curve
9
UX Improvement
8
Complexity
7
ILUM features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
9.5
Quality of Support
Average: 8.9
9.3
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

    Users
    • Data Engineer
    • DevOps Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Glue 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
    4
    Simple
    3
    ETL Solutions
    2
    Features
    2
    Intuitive
    2
    Cons
    Access Control
    1
    Compatibility Issues
    1
    Complex Transformations
    1
    Connection Issues
    1
    Connectivity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Glue features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    8.4
    Quality of Support
    Average: 8.8
    8.4
    Ease of Use
    Average: 8.9
    8.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,637 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

Users
  • Data Engineer
  • DevOps Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 28% Mid-Market
AWS Glue 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
4
Simple
3
ETL Solutions
2
Features
2
Intuitive
2
Cons
Access Control
1
Compatibility Issues
1
Complex Transformations
1
Connection Issues
1
Connectivity Issues
1
AWS Glue features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
8.4
Quality of Support
Average: 8.8
8.4
Ease of Use
Average: 8.9
8.3
Ease of Admin
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,637 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(94)4.5 out of 5
View top Consulting Services for Elastic Stack
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elastic Stack Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Flexibility
    3
    Versatility
    3
    Analytics
    2
    Customization
    2
    Dashboard Customization
    2
    Cons
    Expensive
    2
    High Memory Usage
    2
    Resource Management
    2
    Bugs
    1
    Complexity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elastic Stack features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.9
    8.1
    Quality of Support
    Average: 8.8
    7.9
    Ease of Use
    Average: 8.9
    7.5
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,199 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,788 employees on LinkedIn®
    Ownership
    NYSE: ESTC
Product Description
How are these determined?Information
This description is provided by the seller.

See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Mid-Market
  • 36% Enterprise
Elastic Stack Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Flexibility
3
Versatility
3
Analytics
2
Customization
2
Dashboard Customization
2
Cons
Expensive
2
High Memory Usage
2
Resource Management
2
Bugs
1
Complexity Issues
1
Elastic Stack features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.9
8.1
Quality of Support
Average: 8.8
7.9
Ease of Use
Average: 8.9
7.5
Ease of Admin
Average: 8.4
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,199 Twitter followers
LinkedIn® Page
www.linkedin.com
4,788 employees on LinkedIn®
Ownership
NYSE: ESTC
Entry Level Price:Starting at $29,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 56% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Control-M 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
    14
    Features
    11
    Time-saving
    10
    Task Automation
    9
    Efficiency
    8
    Cons
    Complexity
    10
    Difficult Learning
    6
    Learning Curve
    6
    Poor UI Design
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Control-M features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.6
    Quality of Support
    Average: 8.9
    8.7
    Ease of Use
    Average: 8.9
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1980
    HQ Location
    Houston, TX
    Twitter
    @BMCSoftware
    48,222 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,064 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem.

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 56% Enterprise
  • 21% Mid-Market
Control-M 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
14
Features
11
Time-saving
10
Task Automation
9
Efficiency
8
Cons
Complexity
10
Difficult Learning
6
Learning Curve
6
Poor UI Design
6
Slow Performance
6
Control-M features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.6
Quality of Support
Average: 8.9
8.7
Ease of Use
Average: 8.9
8.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1980
HQ Location
Houston, TX
Twitter
@BMCSoftware
48,222 Twitter followers
LinkedIn® Page
www.linkedin.com
9,064 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Empowering Trusted Relationships in Financial Services Riva is the trusted partner for organizations seeking to build stronger client relationships while streamlining operations. Our innovative sol

    Users
    No information available
    Industries
    • Financial Services
    • Banking
    Market Segment
    • 41% Mid-Market
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Riva 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
    Accuracy
    3
    Time-saving
    3
    Automation
    2
    CRM Integration
    2
    Customer Support
    2
    Cons
    AI Integration
    1
    AI Limitations
    1
    Automation Difficulty
    1
    Automation Issues
    1
    Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Riva features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.9
    8.8
    Quality of Support
    Average: 8.8
    8.4
    Ease of Use
    Average: 8.9
    8.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2008
    HQ Location
    Edmonton, Alberta
    Twitter
    @crm_integration
    6 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.

Empowering Trusted Relationships in Financial Services Riva is the trusted partner for organizations seeking to build stronger client relationships while streamlining operations. Our innovative sol

Users
No information available
Industries
  • Financial Services
  • Banking
Market Segment
  • 41% Mid-Market
  • 31% Small-Business
Riva 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
Accuracy
3
Time-saving
3
Automation
2
CRM Integration
2
Customer Support
2
Cons
AI Integration
1
AI Limitations
1
Automation Difficulty
1
Automation Issues
1
Complexity
1
Riva features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.9
8.8
Quality of Support
Average: 8.8
8.4
Ease of Use
Average: 8.9
8.0
Ease of Admin
Average: 8.4
Seller Details
Company Website
Year Founded
2008
HQ Location
Edmonton, Alberta
Twitter
@crm_integration
6 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.

    Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 55% Enterprise
    • 23% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Sqoop features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.9
    8.5
    Quality of Support
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.9
    9.2
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,765 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 Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 55% Enterprise
  • 23% Mid-Market
Apache Sqoop features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.9
8.5
Quality of Support
Average: 8.8
8.7
Ease of Use
Average: 8.9
9.2
Ease of Admin
Average: 8.4
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,765 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®