Composable DataOps Platform vs. Datameer

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Composable DataOps Platform
Score 7.7 out of 10
Enterprise companies (1,001+ employees)
Composable Analytics is a business intelligence solution that provides both cloud-based services and on-premise solutions. Some key features include data flow-based applications, data process automation and application reusability.N/A
Datameer
Score 8.4 out of 10
N/A
Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.N/A
Pricing
Composable DataOps PlatformDatameer
Editions & Modules
No answers on this topic
Team/Enterprise
Contact for pricing
per month Team
Offerings
Pricing Offerings
Composable DataOps PlatformDatameer
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Composable DataOps PlatformDatameer
User Ratings
Composable DataOps PlatformDatameer
Likelihood to Recommend
7.7
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
8.0
(0 ratings)
6.4
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Composable DataOps PlatformDatameer
Likelihood to Recommend
Composable Analytics is a well suited application when you need to gain insight on many different sources of information. It is less appropriate if you are trying to use it as an application only instead of a tool to create insight into your data.
Read full review
Datameer's workbooks include an intuitive GUI for maximum usability. Anyone with an analytical mind may easily compile data using the built-in worksheet capability without requiring much technological knowledge. Ad hoc reports may now be made and scheduled. In addition, I haven't had too much problem fixing things because I can get most of the answers I want there.
Read full review
Pros
  • Flexible Dataflow Application
  • Easy to source data and then compose to create actionable items for supporting decision
  • Allowed to do different analysis
  • Extremely powerful tool to digest information to produce insight from the data
Read full review
  • It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
  • It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
  • Excel feature is awesome for business users which is already provided by Datameer.
  • Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
  • Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
  • It can be used in premise or in a cloud computing environment.
  • Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.
Read full review
Cons
  • I can not really comment because I do not have a complete fluency with the product as of now.
  • Recreating the wheel on some uses but i guess that may be user error.
Read full review
  • Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application
Read full review
Likelihood to Renew
I am unable to answer this question at this time
Read full review
Employees with intermediate SQL and Hive knowledge can generate reports faster than using Datameer . It does have visualization tool but I don't think it is anything that cannot be accomplished by importing the data in Excel
Read full review
Usability
No answers on this topic
Easy to use for most things, starts to require some planning as your projects get more complex.
Read full review
Alternatives Considered
I would compare them to custom system like Morgan Stanley has that I use. A more appropriate company is Novus or LightKeeper. This product is potentially much cheaper but Novus and Lightkeeper already have built in Analytics screens that you could potential build yourself with Composable.
Read full review
I have compared Datameer with the tools listed above and it blows them out of the water. Datameer is much more user friendly than these tools and is also a lot more powerful. Once the Q1 release comes out with drill down capabilities on the infographics, Datameer will surpass Tableau and Spotfire in visualization.
Read full review
Return on Investment
No answers on this topic
  • 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.
Read full review
ScreenShots

Composable DataOps Platform Screenshots

Screenshot of Composable DataFlowScreenshot of Data and Analytics MarketplaceScreenshot of Screenshot of Composable DataPortalScreenshot of Composable DataPortal

Datameer Screenshots

Screenshot of DATA TRANSFORMATION: SQL or No Code

SQL SELECT statements can be used to explore and shape data. Work is represented visually on a canvas like interface, making it easier to design and maintain projects.

Datameer includes library of pre-built drag-and-drop transformations to accelerate SQL development or transform datasets without writing code.Screenshot of DATA CATALOG: Collaboration in Snowflake

Search, Metadata, Data Profiling, and Auto documentationScreenshot of AUTOMATION & INSIGHTS

Insights can be sent to email or Slack, integrated, and deployed to SnowflakeScreenshot of PRODUCTION PIPELINES: From ad-hoc exploration to production pipelines

GIT version control, materialization, dependency management, monitoring