Datameer vs. Nextqore AI Data Preprocessor

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Nextqore AI Data Preprocessor
Score 0.0 out of 10
Small Businesses (1-50 employees)
Nextqore is an AI Data Preprocessor designed to get enterprise data ready for AI before it reaches any model. What It Does The platform is built on two standalone products. AnySource Data Combiner ingests and unifies data from disparate enterprise systems into a single, clean feed. Data Context Builder adds semantic and relational context, ontology, and full data lineage to that combined data. Each product solves a distinct problem and can be deployed on…
$1,200
per month per installation
Pricing
DatameerNextqore AI Data Preprocessor
Editions & Modules
Team/Enterprise
Contact for pricing
per month Team
No answers on this topic
Offerings
Pricing Offerings
DatameerNextqore AI Data Preprocessor
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup fee$1,200 undefined
Additional DetailsNextqore uses a consumption-based pricing model with three subscription tiers, priced by monthly data volume therein aligning with an enterprises consumption growth. Standard is $1,200/month for up to 10,000 unique rows processed; Professional is $2,800/month for up to 30,000 rows; Enterprise is $10,000/month for up to 100,000 rows. All three tiers include both core products (AnySource Data Combiner and Data Context Builder) plus Analytics, Visualization, Notifications, and the Enterprise AI Connector — the tiers differ only in volume limits and author/role counts, minimally by feature access. There is no minimum commitment period. Usage beyond the included volume is billed per additional 1,000 rows, at a rate that decreases by tier ($120 on Standard, $100 on Professional, $80 on Enterprise), so unit costs fall as consumption grows. Add-ons include a knowledge-graph-based Ontology/Business Schema layer ($500/month on Standard and Professional, included on Enterprise) and Machine Learning model add-ons priced per model per year ($1,300–$4,500 depending on tier). Organizations with non-standard volume, deployment, or SLA requirements can request a custom configuration directly from Nextqore.
More Pricing Information
Community Pulse
DatameerNextqore AI Data Preprocessor
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User Ratings
DatameerNextqore AI Data Preprocessor
Likelihood to Recommend
9.0
(9 ratings)
-
(0 ratings)
Likelihood to Renew
6.4
(7 ratings)
-
(0 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
DatameerNextqore AI Data Preprocessor
Likelihood to Recommend
Datameer
Datameer is a great tool if someone is capable of keeping the most recent version of the tool up to date along with the most recent version of the distribution of Hadoop. The tool is easy to support but it must have someone who can run the back end processes
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Nextqore
No answers on this topic
Pros
Datameer
  • 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.
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Nextqore
No answers on this topic
Cons
Datameer
  • 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.
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Nextqore
No answers on this topic
Likelihood to Renew
Datameer
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
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Nextqore
No answers on this topic
Usability
Datameer
Easy to use for most things, starts to require some planning as your projects get more complex.
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Nextqore
No answers on this topic
Alternatives Considered
Datameer
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.
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Nextqore
No answers on this topic
Return on Investment
Datameer
  • We have not been able to reach our business objectives just yet.
  • Hadoop its a hard sell in most companies still.
  • Legacy skills are still highly on demand and as long as an easier path leverage SQL for example is available, it would be hard to gain more adoption.
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Nextqore
No answers on this topic
ScreenShots

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

Nextqore AI Data Preprocessor Screenshots

Screenshot of Nextqore AI Deployment FrameworkScreenshot of Nextqore AI Preprocessor, Products and Deployment results