TrustRadius

Dataiku vs. Nextqore AI Data Preprocessor

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.5 out of 10
N/A
The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.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
DataikuNextqore AI Data Preprocessor
Editions & Modules
Discover
Contact sales team
Business
Contact sales team
Enterprise
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
DataikuNextqore AI Data Preprocessor
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup fee$1,200 undefined
Additional Details—Nextqore 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
DataikuNextqore AI Data Preprocessor
Features
DataikuNextqore AI Data Preprocessor
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
8.6
5 Ratings
3% above category average
Nextqore AI Data Preprocessor
-
Ratings
Connect to Multiple Data Sources8.05 Ratings00 Ratings
Extend Existing Data Sources10.04 Ratings00 Ratings
Automatic Data Format Detection10.05 Ratings00 Ratings
MDM Integration6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
5 Ratings
17% above category average
Nextqore AI Data Preprocessor
-
Ratings
Visualization10.05 Ratings00 Ratings
Interactive Data Analysis10.05 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
9.5
5 Ratings
15% above category average
Nextqore AI Data Preprocessor
-
Ratings
Interactive Data Cleaning and Enrichment9.05 Ratings00 Ratings
Data Transformations9.05 Ratings00 Ratings
Data Encryption10.04 Ratings00 Ratings
Built-in Processors10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.5
5 Ratings
1% above category average
Nextqore AI Data Preprocessor
-
Ratings
Multiple Model Development Languages and Tools8.05 Ratings00 Ratings
Automated Machine Learning8.05 Ratings00 Ratings
Single platform for multiple model development8.05 Ratings00 Ratings
Self-Service Model Delivery10.04 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
8.0
5 Ratings
6% below category average
Nextqore AI Data Preprocessor
-
Ratings
Flexible Model Publishing Options8.05 Ratings00 Ratings
Security, Governance, and Cost Controls8.05 Ratings00 Ratings
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DataikuNextqore AI Data Preprocessor
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User Ratings
DataikuNextqore AI Data Preprocessor
Likelihood to Recommend
10.0
(4 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
User Testimonials
DataikuNextqore AI Data Preprocessor
Likelihood to Recommend
Dataiku
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
Verified User
Anonymous
Read full review
Nextqore
No answers on this topic
Pros
Dataiku
  • Allows users to collaborate and monitor individual tasks
  • Caters to both types of analysts, coders and non-coders, alike
  • Integrate graphs and plots with visualization tools such as Tableau
Verified User
Anonymous
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Nextqore
No answers on this topic
Cons
Dataiku
  • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
  • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
  • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
Devesh Singh | TrustRadius Reviewer
Devesh Singh
Data Scientist II
Read full review
Nextqore
No answers on this topic
Usability
Dataiku
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
Verified User
Anonymous
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Nextqore
No answers on this topic
Support Rating
Dataiku
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
Verified User
Anonymous
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Nextqore
No answers on this topic
Alternatives Considered
Dataiku
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
Verified User
Anonymous
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Nextqore
No answers on this topic
Return on Investment
Dataiku
  • Customer satisfaction
  • Timely project delivery
Verified User
Anonymous
Read full review
Nextqore
No answers on this topic
ScreenShots

Nextqore AI Data Preprocessor Screenshots

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