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Datameer

Datameer Cloud

Composite Score

6.8 /10

CX Score

6.6 /10

23 Reviews Write a Review

What is Datameer Cloud?

Datameer is a data preparation and analytics platform that enables users to easily access, integrate, and analyze their data. With Datameer, users can prepare and transform their data using a visual interface or custom code, and perform advanced analytics and machine learning to derive insights and make data-driven decisions.

Company Details

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Awards & Recognition

Datameer Cloud won the following awards in the Data Preparation for Analytics category

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0 Top Rated Capabilities

2 Top Rated Features

2024

1 Top Rated Capabilities

3 Top Rated Features

2023

Datameer Cloud Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Datameer Cloud.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

77 Likeliness to Recommend

7
Since last award

83 Plan to Renew

10
Since last award

69 Satisfaction of Cost Relative to Value

13
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+73 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Datameer Cloud?

8% Negative

15% Neutral

77% Positive

Pros

Respectful
Efficient Service
Transparent
Friendly Negotiation

Cons

Charges for Enhancements

Feature Ratings

Average 78

Message Model

Lineage & Basic Auditing

Self Service and Ad Hoc Capabilities

Data Security & Masking

Collaboration

Record Deduplication

Data Preparation Workflow

Data Access

Data Packaging

Data Pre-Processing

Data Integration

Vendor Capability Ratings

Average 74

Usability and Intuitiveness

Ease of Implementation

Availability and Quality of Training

Quality of Features

Ease of IT Administration

Vendor Support

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Business Value Created

Ease of Customization

Datameer Cloud Reviews

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Jan 2023

Good ux and solid features

Likeliness to Recommend

8 /10

Pros

Efficient Service
Helps Innovate
Performance Enhancing
Enables Productivity

Cons

Security Frustrates

Sai Shakti D.

Role: Consultant
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jan 2023

Easy to use product with modern capabilities.

Likeliness to Recommend

6 /10

What differentiates Datameer Cloud from other similar products?

Ease of use with modern capabilities

What is your favorite aspect of this product?

Simplicity

What do you dislike most about this product?

Limited data manipulation

What recommendations would you give to someone considering this product?

Evaluate the product based on the use case.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Cons

Commodity Features
Less Caring

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Jan 2023

Good competitor to dbt

Likeliness to Recommend

8 /10

Pros

Generous Negotitation
Reliable
Performance Enhancing
Enables Productivity

Cons

Slower Product Innovation

How We Deliver

Events

Datameer Cloud

What is Datameer Cloud?

Company Details

Need Assistance?

Awards & Recognition

Datameer Cloud Ratings

77 Likeliness to Recommend

7 Since last award

83 Plan to Renew

10 Since last award

69 Satisfaction of Cost Relative to Value

13 Since last award

Emotional Footprint Overview

+73 Net Emotional Footprint

How much do users love Datameer Cloud?

Pros

Cons

Feature Ratings Average rating of all product features, some of which may not be shown below

Message Model Defines the schema and structure of event or API data messages, enabling validation, parsing, and transformation of streaming data for analytics.

Lineage & Basic Auditing Tracks transformation steps, column dependencies, and change history to ensure data transparency, traceability, and reproducibility in analytics workflows.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Data Security & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Data Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Datameer Cloud Reviews

Good ux and solid features

Likeliness to Recommend

Pros

Cons

Sai Shakti D.

Easy to use product with modern capabilities.

Likeliness to Recommend

Pros

Cons

Good competitor to dbt

Likeliness to Recommend

Pros

Cons

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7
Since last award

10
Since last award

13
Since last award

Feature Ratings

Message Model

Lineage & Basic Auditing

Self Service and Ad Hoc Capabilities

Data Security & Masking

Collaboration

Record Deduplication

Data Preparation Workflow

Data Access

Data Packaging

Data Pre-Processing

Data Integration

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Implementation

Availability and Quality of Training

Quality of Features

Ease of IT Administration

Vendor Support

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Business Value Created

Ease of Customization