Best Software for 2025 is now live!
|| products.size

Best Big Data Analytics Software with Governed Discovery Capabilities

Benefits of Big Data Analytics Software with Governed Discovery capabilities include: Isolates certain datasets and facilitates management of data access.
Below are the top-rated Big Data Analytics Software with Governed Discovery capabilities, as verified by G2’s Research team. Real users have identified Governed Discovery as an important function of Big Data Analytics Software. Compare different products that offer this feature so you can decide which is best for your business needs.

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

1 filter applied
Clear All
7 Listings in Big Data Analytics Available
(216)4.5 out of 5
4th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Databricks 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
    28
    Features
    13
    Performance
    12
    Integrations
    11
    Analytics
    9
    Cons
    Expensive
    10
    Learning Curve
    6
    Poor UI Design
    6
    Poor Customer Support
    4
    Slow Performance
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 26% Small-Business
Azure Databricks 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
28
Features
13
Performance
12
Integrations
11
Analytics
9
Cons
Expensive
10
Learning Curve
6
Poor UI Design
6
Poor Customer Support
4
Slow Performance
4
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
(625)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
  • 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
    146
    Intuitive
    55
    Automation
    53
    Easy Learning
    46
    Ease of Learning
    43
    Cons
    Learning Curve
    40
    Expensive
    34
    Learning Difficulty
    25
    Complexity
    19
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.6
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,732 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,287 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
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
146
Intuitive
55
Automation
53
Easy Learning
46
Ease of Learning
43
Cons
Learning Curve
40
Expensive
34
Learning Difficulty
25
Complexity
19
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.6
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.3
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,732 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 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
(37)4.2 out of 5
View top Consulting Services for Azure Data Lake Analytics
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Lake Analytics features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.4
    8.1
    Real-Time Analytics
    Average: 8.4
    8.5
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Azure Data Lake Analytics features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.4
8.1
Real-Time Analytics
Average: 8.4
8.5
Data Workflow
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
By IBM
(90)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cloud Pak for Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    10
    Ease of Use
    8
    Insights
    8
    Analytics
    6
    Data Management
    6
    Cons
    Complexity
    6
    Learning Curve
    6
    Poor User Interface
    5
    Complexity Issues
    4
    Expensive
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
10
Ease of Use
8
Insights
8
Analytics
6
Data Management
6
Cons
Complexity
6
Learning Curve
6
Poor User Interface
5
Complexity Issues
4
Expensive
4
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.1
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.3
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
(111)4.4 out of 5
12th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Features
    12
    Easy Integrations
    11
    Scalability
    11
    Integrations
    10
    Cons
    Poor Documentation
    7
    Expensive
    6
    Limitations
    5
    Difficult Learning
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    8.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,205 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,311 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Features
12
Easy Integrations
11
Scalability
11
Integrations
10
Cons
Poor Documentation
7
Expensive
6
Limitations
5
Difficult Learning
4
Learning Curve
4
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.4
8.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,205 Twitter followers
LinkedIn® Page
www.linkedin.com
3,311 employees on LinkedIn®
Ownership
NASDAQ: CFLT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Multi-Source Analysis
    Average: 8.4
    7.0
    Real-Time Analytics
    Average: 8.4
    8.0
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    109,180 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,226 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 24% Mid-Market
Cloudera features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
8.5
Multi-Source Analysis
Average: 8.4
7.0
Real-Time Analytics
Average: 8.4
8.0
Data Workflow
Average: 8.3
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
109,180 Twitter followers
LinkedIn® Page
www.linkedin.com
3,226 employees on LinkedIn®
Phone
888-789-1488
(15)3.6 out of 5
13th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

    Users
    No information available
    Industries
    • Banking
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Arcadia Enterprise features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.4
    6.1
    Real-Time Analytics
    Average: 8.4
    6.7
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @arcadiadata
    1,130 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

Users
No information available
Industries
  • Banking
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Arcadia Enterprise features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.4
6.1
Real-Time Analytics
Average: 8.4
6.7
Data Workflow
Average: 8.3
Seller Details
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@arcadiadata
1,130 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®

Quick Facts: Big Data Analytics Software with Governed Discovery Capabilities

Content below is current as of June, 2024
Reviews Summary for Big Data Analytics Software with Governed Discovery Features

Reviews Summary: Big Data Analytics Software with Governed Discovery Features

Currently there are 7 Big Data Analytics software products with Governed Discovery features listed on G2, and together they have generated 620 total reviews. These reviews are generated using the qualitative and quantitative feedback from G2 members who have used these software products.

G2 users review Big Data Analytics software products based on criteria relating to user experience, setup, and support. Below you will find how users rated the 7 Big Data Analytics software products that have Governed Discovery features based on those criteria:

  • Ease of Use: 8.4/10 average user rating
  • Ease of Setup: 8.4/10 average user rating
  • Quality of Support: 8.2/10 average user rating

To help you compare and find the best Big Data Analytics software product with the right Governed Discovery functionality for your business, we have gathered some additional details and FAQs below.

What Big Data Analytics products with Governed Discovery features have the most reviews and are the highest-rated?

Based on quantity of reviews and average ratings, these are the most popular Big Data Analytics software products with Governed Discovery capabilities according to G2 users:

What Big Data Analytics software products with Governed Discovery capabilities are the most liked according to G2 users?

Based on the G2 ratings scale and regardless of review count, these are the highest-rated Big Data Analytics software products with Governed Discovery capabilities:

Which software products with Governed Discovery features are the highest rated on G2?

These are the Big Data Analytics software products offering Governed Discovery capabilities and have the highest ratings:

Review Snippets for Big Data Analytics Software with Governed Discovery Features

Below are questions we ask of all Big Data Analytics software users on G2. The answers are specific to the most popular software products that offer Governed Discovery capabilities. These user responses provide more insight into the most-reviewed Big Data Analytics software and their Governed Discovery features listed on G2.
Questions Responses
Here is what users liked best about Big Data Analytics software with Governed Discovery features.
Alteryx: "Its intuitive workflow environment with the drag&drop tools across data extraction, blending, preparation, transformation and advanced analytics while sharing results among variable tools"
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "It stores unstructured data in large amounts that cab be accessed and processed by BI Tools as wells as other statistical programming languages such as 'R' and 'Python'. The best part is that it is accessible by several other datasources, tools and technologies and other data sources and files can also be used as the enterprise data sources."
- Prashanth G., Senior Engineer - Data Analytics, Enterprise (> 1000 emp.)
Confluent: "It is free to download, it has data encryption and a good quality of service. It is easy to connect many producers to many consumers even in a complex architecture"
- Akos K., Helping organizations to better utilize the power of data in their GRC functions | We are hiring 🚀, Enterprise (> 1000 emp.)
Here is what users liked least about Big Data Analytics software with Governed Discovery features.
Alteryx: "The rag-tag nature of the company depending on end-users to create a "community" in which they "foster solutions" AKA they dont want to invest in actual documentation / error resolution, and just rely on us end-users to try and fix each others problems. They sell you their "tech", which has about 999 things in it that you will *never* use, and in their only to inflate the price, and then ."
- William H., Analytics, Enterprise (> 1000 emp.)
Confluent: "Pricing model for confluent kafka and its products"
- Megha B., Enterprise (> 1000 emp.)
Arcadia Enterprise: "Arcadia has serious flaws for a business user: - inability to easily export dashboards and visuals to other applications, eg Microsoft PowerPoint - no printer friendly versions of dashboards/visuals - can't access dashboards from an iPad or other mobile device. No iPad App"
- Michael S., Enterprise (> 1000 emp.)
These are what users recommend to others considering popular Big Data Analytics software products with Governed Discovery capabilities.
Alteryx: "If you need a full overview of what is happening and what will happen in your business, you need Alteryx"
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "The number of products dealing with data science and data engineering is exploding. I'd recommend trying out Databricks and see if it does what you're looking for."
- Thomas Y., Senior Economist @ UT Legislature / Principal @ Econometric Studios ~ Finance|Economics|Analytics|Leadership Research, Small-Business (50 or fewer emp.)
Confluent: "It is free to download, so give it a try and see it for yourself before deciding to buy the product. If you don't like it or it is not for your business, you can always go for another platform as it won't cost anything."
- Akos K., Helping organizations to better utilize the power of data in their GRC functions | We are hiring 🚀, Enterprise (> 1000 emp.)
These are the problems users said the software was solving and how it is benefitting them.
Alteryx: "Blending data from different sources. Preparing and cleansing data that took weeks on excel, not takes hours."
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights, Small-Business (50 or fewer emp.)
Azure Databricks: "Data scientists and programmers have found Azure Databricks to be useful as they can run Statistical programming against the data to get insights into forecast and trends"
- Prashanth G., Senior Engineer - Data Analytics, Enterprise (> 1000 emp.)
Confluent: "Great platform which improves Apache Kafka by expanding integration capabilities, adding some tools to optimize and manage clusters. It has other nice features, like encryption, authorization and authentication."
- Akos K., Helping organizations to better utilize the power of data in their GRC functions | We are hiring 🚀, Enterprise (> 1000 emp.)
Reviews by Industry

Reviews by Industry: Big Data Analytics Marketing Software with Governed Discovery Features

Governed Discovery features are an important factor when choosing a Big Data Analytics software product. How the software and this feature are used differs from industry to industry, making it a challenge to find the best Big Data Analytics software with the right features for your company. To help professionals with their Big Data Analytics software research, G2 has gathered data sourced from 395 reviews. These reviews come from G2 users working in industries that use Big Data Analytics products on a regular basis and who have the most experience with their Governed Discovery functionality.

Industry-Related FAQs About Big Data Analytics Software with Governed Discovery Features

What industries have generated the most reviews of Big Data Analytics products with Governed Discovery capabilities?

Users from the following industries have written the most Governed Discovery feature reviews about Big Data Analytics software:

  • Information Technology and Services
  • Computer Software
  • Financial Services
Which Big Data Analytics software with Governed Discovery features do Information Technology and Services professionals think is best?

Information Technology and Services professionals rate Alteryx (4.6 stars and 240 reviews), Azure Databricks (4.4 stars and 208 reviews), and IBM Cloud Pak for Data (4.3 stars and 65 reviews) the highest.

What do Computer Software professionals think is the best Big Data Analytics software with Governed Discovery features?

Computer Software professionals rate Alteryx (4.6 stars and 240 reviews), Azure Databricks (4.4 stars and 208 reviews), and IBM Cloud Pak for Data (4.3 stars and 65 reviews) the highest.

What do Financial Services professionals think is the best Big Data Analytics software with Governed Discovery features?

Financial Services professionals rate Alteryx (4.6 stars and 240 reviews), Azure Databricks (4.4 stars and 208 reviews), and IBM Cloud Pak for Data (4.3 stars and 65 reviews) the highest.

Industry Review Snippets: Big Data Analytics Governed Discovery Software

There are 395 reviews from users in the Information Technology and Services, Computer Software, and Financial Services industries. Below are snippets of what some of these reviews said about those with the highest G2 score ratings and the most reviews.

Industry What Users From Each Industry Liked What Users From Each Industry Disliked
Information Technology and Services
Alteryx: ease of file loads, speed of running queries
- Peter H., Director at Club 150, Small-Business (50 or fewer emp.)
Confluent: Pricing model for confluent kafka and its products
- Megha B., Enterprise (> 1000 emp.)
Computer Software
Alteryx: Drag and drop tools. Tableau integration.
- Puttaraju D., Tableau|SQL|Alteryx, Mid-Market (51-1000 emp.)
Confluent: Sistem send to much emails and it's tiring
- Lina G., Mid-Market (51-1000 emp.)

Reviews by Market Segment

Reviews by Market Segment: Big Data Analytics Software with Governed Discovery Features

G2 Big Data Analytics software reviewers come from companies of various sizes. On G2 we break these different market segments into three distinct groups:

These reviews are especially helpful when comparing the Governed Discovery features of different Big Data Analytics software products because each business market segment has its own unique experiences and requirements when it comes to specific software features. The segments that make up these Big Data Analytics Governed Discovery software reviews are:

  • 20.7% of reviewers are from small businesses.
  • 24% of reviewers are from mid-market companies.
  • 55.3% of reviewers work at enterprise companies.

Below you will find FAQs and actual review snippets for Big Data Analytics software products that have Governed Discovery features. These reviews are written by real G2 users working in the three market segments above.

Market Segment-Related Big Data Analytics Software with Governed Discovery Capabilities FAQs

What are the best Big Data Analytics software products with Governed Discovery features according to users from enterprise businesses?

The Big Data Analytics software products enterprise-level professionals rate the highest are Alteryx (4.6 stars), Azure Databricks (4.4 stars), and IBM Cloud Pak for Data (4.3 stars).

Which Big Data Analytics software products with Governed Discovery features are the best according to mid-market business users?

The Big Data Analytics software products mid-market business users rate the highest are Alteryx (4.6 stars), Azure Databricks (4.4 stars), and IBM Cloud Pak for Data (4.3 stars).

What do users in small businesses say are the top Big Data Analytics software products with Governed Discovery capabilities?

The Big Data Analytics software products users in small businesses rate the highest are Alteryx (4.6 stars), Azure Databricks (4.4 stars), and IBM Cloud Pak for Data (4.3 stars).

Market Segment Review Snippets: Big Data Analytics Software with Governed Discovery Features

Business professionals share important information about Big Data Analytics Governed Discovery software usability, features, pricing, and more. Read what these users have to say about the top-rated Big Data Analytics software with Governed Discovery features.

Market Segment What Users From Each Market Segment Liked What Users From Each Market Segment Disliked
Enterprise (> 1000 emp.)
Alteryx: The fact that we can create workflows for stuff that would take us days in excel that would take us minutes to process and get an output in alteryx. Totally changed the way we do work
- Rana D., Director-Workforce Intelligence & Processes,
Alteryx: The rag-tag nature of the company depending on end-users to create a "community" in which they "foster solutions" AKA they dont want to invest in actual documentation / error resolution, and just rely on us end-users to try and fix each others problems. They sell you their "tech", which has about 999 things in it that you will *never* use, and in their only to inflate the price, and then .
- William H., Analytics, Enterprise (> 1000 emp.)
Mid-Market (51-1000 emp.)
Alteryx: The variety and depth of tools offered, as well as ease of use. Does not require any coding experience to use.
- Dan D., Technical Business Analyst - EDW/BI at HBC,
Alteryx: It's hard to handle, something confusing labeling and results can vary between the updates. No downgrading if you use some specific tools inside Alteryx.
- nucky K., Product Manager | Addresser | Back-End Dev, Mid-Market (51-1000 emp.)
Small-Business (50 or fewer emp.)
Alteryx: Its intuitive workflow environment with the drag&drop tools across data extraction, blending, preparation, transformation and advanced analytics while sharing results among variable tools
- Wael F., Help organizations to leverage on their untapped data to turn it into actionable insights,
Confluent: Docker compose file is not that much feasible, broker is not starting in one go need to restart again and again. That's the main reason we switched to Native Kafka
- Rohit P., Small-Business (50 or fewer emp.)