Conga Grid is a productivity tool within Salesforce that allows users to view, sort, and manage data batches from a single screen. It helps users to find and manage the information and insights needed with fewer clicks and less screen switching. Conga Grid helps its users to save time, improve data quality, get a clear view into needed data, and create a more productive workplace in Salesforce to drive growth across the organization. Using…
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Dataiku
Score 8.5 out of 10
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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.
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Pricing
Conga Grid
Dataiku
Editions & Modules
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Pricing Offerings
Conga Grid
Dataiku
Free Trial
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Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
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More Pricing Information
Community Pulse
Conga Grid
Dataiku
Features
Conga Grid
Dataiku
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Conga Grid
7.0
3 Ratings
11% below category average
Dataiku
-
Ratings
Report sharing and collaboration
7.03 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Conga Grid
8.5
2 Ratings
9% above category average
Dataiku
-
Ratings
Predictive Analytics
8.52 Ratings
00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Conga Grid
-
Ratings
Dataiku
8.6
5 Ratings
3% above category average
Connect to Multiple Data Sources
00 Ratings
8.05 Ratings
Extend Existing Data Sources
00 Ratings
10.04 Ratings
Automatic Data Format Detection
00 Ratings
10.05 Ratings
MDM Integration
00 Ratings
6.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Conga Grid
-
Ratings
Dataiku
10.0
5 Ratings
17% above category average
Visualization
00 Ratings
10.05 Ratings
Interactive Data Analysis
00 Ratings
10.05 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Conga Grid
-
Ratings
Dataiku
9.5
5 Ratings
15% above category average
Interactive Data Cleaning and Enrichment
00 Ratings
9.05 Ratings
Data Transformations
00 Ratings
9.05 Ratings
Data Encryption
00 Ratings
10.04 Ratings
Built-in Processors
00 Ratings
10.04 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Conga Grid
-
Ratings
Dataiku
8.5
5 Ratings
1% above category average
Multiple Model Development Languages and Tools
00 Ratings
8.05 Ratings
Automated Machine Learning
00 Ratings
8.05 Ratings
Single platform for multiple model development
00 Ratings
8.05 Ratings
Self-Service Model Delivery
00 Ratings
10.04 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
If a user has to perform a specific update over many records, don't use a List view... use Grid. It allows users to quickly track their work, set additional formatting preferences and avoid constantly tracking work outside of Salesforce which leads data discrepencies and errors.
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.
A specific strength of Conga is the ability to easily produce cross-object displays where you can take information like open Opportunities and layer on information such as Activities, Orders, Opportunity Products with all related information being accessible when individual lines are selected. The reading pane functionality is a huge timesaver for reps working lists of records.
Another strength is Conga's ability to allow mass edit/update - for example, you can have a list of leads assigned to you, check the ones you met at a conference, and update a field on their record or assign a task or do an email send right from the list. At the same time, you can select other records, and do the mass update or mass create of tasks that are relevant for them.
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.
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
In general, Conga is a strong company with a depth of talent in its support team. However, when new releases occur, the changes can be somewhat jarring to users as the interface does not offer the ability to hide or show messages related to the changes - all users get the same messaging from Conga around changes to their tool.
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.
I've only used Salesforce before and am now using Conga ActionGrid. Although Salesforce is great, it is only used to log candidate information and then log actions that have been performed. With Conga ActionGrid, we are able to log more specific details about candidates, activities and follow up items. Conga ActionGrid provides more tools that would benefit many departments
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.