TrustRadius Insights
Datameer, a Big Data BI tool, has been widely utilized by various departments within our organization. Non-technical analysts have found …
Overview
What is Datameer?
Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.
Recent Reviews
Pricing
Team/Enterprise
Contact for pricing
Cloud
per month Team
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.datameer.com/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Datameer: Google Sheets Integration
YouTube
A walkthrough of the Datameer interface
YouTube
Datameer ClickStream Analysis Demo 点击流分析演示
YouTube
Datameer Smart Analytics 智能分析演示
YouTube
Low code vs SQL: What transforms data faster?
YouTube
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Datameer?
Datameer: Data Prep & Analytics for Snowflake
Datameer is a solution to discover, explore, clean, transform, automate, and share Snowflake data. The platform equips analysts with a complete data toolset to efficiently prep their data.
Key Features:
- Data catalog: Datasets can be filtered and searched using metadata for project-specific requirements.
- SQL or no-code data transformation: SQL SELECT statements or a visual, no-code interface are available for data shaping.
- Visual canvas-like interface: To design and maintain projects for a seamless workflow.
- Insights sharing: Results and exceptions can be shared via Email or Slack with scheduled delivery options.
- Snowflake integration: Data assets can be easily deployed to Snowflake.
- GIT version control: Automated version control and CI/CD for Snowflake data pipelines.
- Materialization and dependency management: To ensuresreliable data processing.
- Monitoring: To track pipeline performance for efficient data operations.
Benefits of Datameer Cloud:
- Increased data accuracy and consistency.
- Reduced data preparation time.
- Improved data access and sharing.
- Enhanced data-driven decision making.
Datameer is a Snowflake SELECT partner, recognized for its data preparation expertise. The platform prioritizes data security, with monitoring by Drata to protect valuable data.
Datameer Screenshots
Datameer Videos
Ryan Goodman, VP of Analytics at Reliant Funding, sat down with us and shared his Snowflake + Datameer journey. “It’s cloud-first. Flip a switch, connect to Snowflake, and go!”
Datameer: Extracting Insights from Snowflake Data
Datameer Integrations
Datameer Competitors
Datameer Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
Datameer Downloadables
Frequently Asked Questions
Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.
The most common users of Datameer are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(18)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Recommendations
Datameer, a Big Data BI tool, has been widely utilized by various departments within our organization. Non-technical analysts have found it particularly helpful for running high-power analytics on large data sets, simplifying the complexity of SQL or scripting languages used in Apache/Cloudera tools. The user-friendly GUI of Datameer supports nearly 200 built-in functions and allows for the creation of custom functions from imported PMML models.
Additionally, several departments have leveraged Datameer to aggregate vast amounts of data from different sources, enabling the generation of reports and dashboards for various business units. This tool has also proven effective in building use-case-driven data pipelines, eliminating the need for a dedicated data ops team and resulting in valuable time and cost savings. Its ease of use, without the requirement of coding knowledge, has made it accessible to business teams across the organization.
Furthermore, Datameer has served as a proof of concept for Hadoop for information technology and engineering teams, aiming to provide an analytical platform for all departments. It is the go-to platform for building data pipelines for real-world applications, especially when dealing with unstructured or semi-structured data. For example, it has been successfully utilized to extract, transform, and load data from local servers to a cloud-based data warehouse, supporting the reporting and dashboard infrastructure of the company.
The fact that Datameer users do not need coding knowledge has contributed significantly to its adoption by businesses looking to empower non-technical analysts while still harnessing the power of big data. With its wide range of functionalities and its ability to simplify complex tasks, Datameer has become an invaluable asset in our organization's big data analytics workflow.
Users recommend integrating Datameer with modern data warehouses like Snowflake or AWS and drawing their own conclusions. They find it easy to integrate with Snowflake and perform transformations. They also suggest trying out the tool alongside these data warehouses to see its capabilities firsthand.
Users recommend considering Datameer as an affordable option compared to other vendors like Informatica and Fivetran. They mention that the Spectrum engine autoscale is included in the price, making it a cost-effective choice.
Users recommend embracing Datameer's ELT (Extract, Load, Transform) approach for data processing and seeking support if needed. They appreciate the responsiveness of Datameer's support team.
Overall, users recommend using Datameer for reporting and analytics, especially for working with Big Data. They even suggest using it as a powerful alternative to Excel.
Additionally, users suggest keeping Datameer up to date with the most recent distribution of Hadoop and praising the good support team.
Attribute Ratings
Reviews
(1-2 of 2)Companies can't remove reviews or game the system. Here's why
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.
- Connect to a broad variety of data sources with the help of robust connector support.
- Its user interface is quite similar to that of Excel, making it easy to access your data.
- Since it doesn't require any prior understanding of programming, there is a minimal learning curve for new users.
- Concentration issues are possible while using a lot of tabs at once.
- In most cases, the length of a tutorial video is excessive.
- A more condensed design is certainly a viable option.
- Expedite the process of reaping the rewards. To learn how to utilize Datameer as a developer takes less than a day.
- The workspace's drag-and-drop feature makes it easy to move about in a hurry.
- Simple-to-schedule information processing pipelines.
- Snowflake and Apache Hive
Based on our findings, we are unable to utilize the Apache Hive platform due to the associated costs. We also looked into Informatica, but decided against it because of its expensive pricing and poor integration with other BI products. Those unfamiliar with SQL may nevertheless use this tool to build complex transformation processes after a brief onboarding session.
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.
- Scales data processing using elastic compute framework (Spark)
- Simplifies the process of building ETL data pipelines in the cloud
- Extensive data source connectivity and easily connects to source data using connectors
- A fast learning curve with a no-code interface so anyone can use it
- It provides an Excel-like interface to have quick and simple access to data
- Transformation speed
- Many tabs sometimes reduce your focus
- Might be better to have a more compact design
- Video tutorials are a little long
- Quick time to value. Transition from developer to learning Datameer is less than a day.
- Workspace is drag and drop, which makes it intuitive and easy to use.
- Speed of data transformations.
- Pulling data from various sources.
- Easy to schedule data pipelines.
- Tailor made for Snowflake and Redshift.
- Documentation is sometimes not updated quickly.
- Training videos are a bit long.
Pricing, support, and ease of use. We plan to scale up our data over the net few years and Datameer gives us all the things we need in one tool. Handles large transformations quickly and works with all the cloud data warehouses.
Datameer's per-user pricing sealed the deal for us as we plan to transfer much more data over the next few years. We looked at Fivetran but the usage pricing discourages growth. We also looked at Informatica but it was too expensive and didn't work as well with other BI tools like Datameer does.