TrustRadius

Oracle Enterprise Data Quality vs. Trackingplan

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Data Quality
Score 9.5 out of 10
N/A
Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.N/A
Trackingplan
Score 0.0 out of 10
N/A
Collecting and analyzing multiple data points can be a tedious process especially prone to bugs and breakages. Trackingplan’s fully automated data QA and observability solution for digital analytics eliminates these obstacles by detecting errors in websites and apps as soon as they happen, or even before they happen, helping companies to achieve accurate and reliable analytics. This creates a single source of truth where all teams involved in first-party data collection can…
$299
per month
Pricing
Oracle Enterprise Data QualityTrackingplan
Editions & Modules
No answers on this topic
Startup
$299
per month
Enterprise
$1499
per month
Offerings
Pricing Offerings
Oracle Data QualityTrackingplan
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Oracle Enterprise Data QualityTrackingplan
Considered Both Products
Oracle Data Quality
Rita Joy | TrustRadius Reviewer
Rita Joy
Information Specialist
Chose Oracle Data Quality
Oracle Data Quality has concentrated on the appropriate mechanisms that foster data migration, a very conducive way that makes the transfer process more attentive and friendly. Besides, Oracle Data Quality governs and protects the available data quality, a very effective way of …
KK
Kiprop Kadhanga
Data Analyst
Chose Oracle Data Quality
Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.
JK
Johnson Kao
Sr. Data Government Anakyst
Chose Oracle Data Quality
Oracle ERP Cloud and Oracle Engagement Cloud (formerly Oracle Sales Cloud)
Verified User
Anonymous
Chose Oracle Data Quality
EDQ is a best in breed app the sets the bar high in dealing with data quality issues.
Gurcan Orhan | TrustRadius Reviewer
Gurcan Orhan
Enterprise Data WareHouse Architect
Chose Oracle Data Quality
Trillium and SAS DataFlux was considered but not having in-ETL management and licensing cost.
Verified User
Anonymous
Chose Oracle Data Quality
I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ.
Trackingplan

No answer on this topic

Features
Oracle Enterprise Data QualityTrackingplan
Data Quality
Comparison of Data Quality features of Product A and Product B
Oracle Enterprise Data Quality
9.6
Ratings
10% above category average
Trackingplan
-
Ratings
Data source connectivity9.50 Ratings00 Ratings
Data profiling10.00 Ratings00 Ratings
Master data management (MDM) integration9.50 Ratings00 Ratings
Data element standardization9.50 Ratings00 Ratings
Match and merge9.50 Ratings00 Ratings
Address verification9.50 Ratings00 Ratings
Best Alternatives
Oracle Enterprise Data QualityTrackingplan
Small Businesses
HubSpot Data Hub
HubSpot Data Hub
Score 7.7 out of 10
HubSpot Data Hub
HubSpot Data Hub
Score 7.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Enterprise Data QualityTrackingplan
Likelihood to Recommend
9.5
(0 ratings)
-
(0 ratings)
User Testimonials
Oracle Enterprise Data QualityTrackingplan
Likelihood to Recommend
  • Ease of adding localized and customized data quality formulations (for instance asking for Turkish Citizenship Number from governmental web service and checking whether data is the same with the output).
  • Finding the "golden record" from the duplicated records.
  • Adding and/or merging missing information from different data sources.
  • Using patterns and statistical functions to complete the data.
  • Address verification (can be localized).
  • Parsing of combination of records.
  • Enriching required data from free text (story told) inputs.
Gurcan Orhan | TrustRadius Reviewer
Gurcan Orhan
Enterprise Data WareHouse Architect
Read full review
No answers on this topic
Pros
  • Address verification helps you filter bad data out and improve your data quality.
  • Strength by DnB enriched information to address the correct customer by address.
  • expert data profiling to help us quickly understand our current data health.
JK
Johnson Kao
Sr. Data Government Anakyst
Read full review
No answers on this topic
Cons
  • Updates are few and far between as this has transitioned to the Cloud and is the core engine for DIPC (Data Integration Platform Cloud).
  • Needs governance around the tool if multiple people are running reports (e.g. if someone is running a process, it locks out other users).
Verified User
Anonymous
Read full review
No answers on this topic
Alternatives Considered
Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.
KK
Kiprop Kadhanga
Data Analyst
Read full review
No answers on this topic
Return on Investment
  • Details verification, for instance, address ensure the quality of every operation is sustained.
  • Further, sales analytics improves the market share as customers get to apprehend the business needs.
  • Oracle Data Quality has consistent data connectivity, a standard way of improvising business requirements.
Rita Joy | TrustRadius Reviewer
Rita Joy
Information Specialist
Read full review
No answers on this topic
ScreenShots

Trackingplan Screenshots

Screenshot of a health summary that provides information every time something changes or breaks in digital analytics so there is no need for teams to go looking for errors.Screenshot of a debug warning, displaying where and why the errors compromising the quality of data have appeared, to accelerate fixing errors.Screenshot of the tracking of all the SaaS tools used on frontends, where automatic alerts are generated when a pixel has disappeared from a page of a site or is completely disconnected.Screenshot of a display of which private data a site is collecting from users that is forwarding to third parties, to automatically detect any possible privacy breach at a glance.Screenshot of Trackingplan's plug & play functionality, used to test sessions against their expected baselines.Screenshot of an email summary about the state of data collection efforts, sent out at the beginning of each work day.