Datameer

Datameer

Score 8.6 out of 10
Datameer

Overview

What is Datameer?

Analytics that make it easy for businesses to aggregate big data, leveraging the power and scale of Hadoop.
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Recent Reviews

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Reviewer Pros & Cons

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Pricing

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Team/Enterprise

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Cloud
per month Team

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services
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Product Details

What is Datameer?

Datameer is a no-code analytics solution built for Snowflake. Discover, analyze and share hidden insights in minutes.

Empowering data engineers and analysts to transform and model data directly in their cloud warehouses via a simple SQL code or no-code interface to solve complex analytical projects.


Datameer Features

  • Supported: Data Discovery
  • Supported: Data Preparation
  • Supported: Data Validation
  • Supported: Sharing Insights
  • Supported: Snowflake Native
  • Supported: Data Catalog
  • Supported: Data Profiling
  • Supported: Metadata
  • Supported: Search
  • Supported: Auto Documentation
  • Supported: Modular SQL
  • Supported: No Code
  • Supported: Fresh Data
  • Supported: Full Lineage
  • Supported: Data Transformation
  • Supported: Send to Email
  • Supported: Send to Slack
  • Supported: BI integration
  • Supported: Materialization
  • Supported: Dependency Management
  • Supported: Version Control
  • Supported: Monitoring
  • Supported: Production Pipelines

Datameer Integrations

Datameer Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Analytics that make it easy for businesses to aggregate big data, leveraging the power and scale of Hadoop.

Alteryx, Tableau Prep, and Sigma Computing are common alternatives for Datameer.

The most common users of Datameer are from Enterprises (1,001+ employees).
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Comparisons

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Reviews

(1-7 of 7)
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Score 9 out of 10
Vetted Review
Verified User
We choose Datameer as my go-to platform for building up data pipelines for real-world applications. Recently, we have also begun using it to ETL data from our local servers to our cloud-based data warehouse. These pipelines are the lifeblood of my company's reporting and dashboard infrastructure. With Datameer, we were able to save money and resources that would have been used to establish and maintain a dedicated data operations team. The fact that Datameer users don't need to know how to code has led to the platform's adoption by businesses.
Score 8 out of 10
Vetted Review
Verified User
Analysts of various SQL proficiency levels can benefit from using the Datameer SaaS platform for data modeling. Datameer offers a simple interface that achieves the same results as if the transformations were done directly in Snowflake, making it ideal for non-technical analysts who prefer a GUI-based approach. You may use SQL exclusively, or bounce back and forth between the GUI and SQL using Datameer. Moreover, analysts may save their queries in Datameer without compromising the original data architecture since the transformations are re-written to Snowflake as Views rather than Tables.
Score 9 out of 10
Vetted Review
Verified User
Datameer is what I rely on to construct data pipelines based on actual use cases. As of recently, we have also been employing it for the purpose of extract-transform-load (ETL) from on-premises data to a cloud-based data warehouse. These pipelines power reporting and dashboards for several departments in my company. We were able to avoid the expense and overhead of staffing a data operations department because to Datameer. Since Datameer users don't have to worry about learning how to code, it's even being adopted by corporate groups.
Score 9 out of 10
Vetted Review
Verified User
I use Datameer for building use-case-driven data pipelines. We are also now using it to ETL on-premises data to a cloud data warehouse. These pipelines are used to enable reports and dashboards for various business units in my organization. Using Datameer has saved us a lot of time and money and we didn't need to hire a data ops team. Datameer is easy to use with no need to write code, so business teams are even using it.
Hector Jimenez | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Datameer is being used as a proof of concept for Hadoop by information technology and engineering. We are trying to provide an analytical platform which can potentially be used across all the departments in the organization. We don't have a lack of data, and are focusing on use cases where unstructured or semi-structured data is relevant. For example, text notes used Customer Service to document cases and follow-up internally with other departments.
January 31, 2014

Datameer Review

Ryan Baltes | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Reseller
Datameer is being used by our my organization as a Big Data BI tool on top of our Hadoop Cluster along with Hive, Impala, Pig, and HBase. It helps non-technical analysts to gain the power of running high power analytics on large data sets. It simplifies the SQL or scripting languages used in the Apache/Cloudera tools into a user GUI which supports almost 200 built-in functions and holds endless possibilities with the support of custom functions. Datameer also has the ability to import PMML models from SAS and other tools and create custom functions from these imports. Datameer is used across the whole organization and is growing on many analyst as the next up and coming analytical tool.
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