erwin Data Modeler vs. Neo4j

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
erwin Data Modeler
Score 9.8 out of 10
N/A
erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.N/A
Neo4j
Score 9.0 out of 10
N/A
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
$65
per month
Pricing
erwin Data ModelerNeo4j
Editions & Modules
No answers on this topic
Aura Professional
$65
per month
Community Edition
Free
Enterprise Edition
Contact Sales
Aura Free
Free
Aura Enterprise
Contact Sales
Offerings
Pricing Offerings
erwin Data ModelerNeo4j
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details——
More Pricing Information
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erwin Data ModelerNeo4j
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User Ratings
erwin Data ModelerNeo4j
Likelihood to Recommend
6.1
(7 ratings)
2.1
(9 ratings)
Usability
9.0
(2 ratings)
6.0
(1 ratings)
Support Rating
9.0
(3 ratings)
-
(0 ratings)
User Testimonials
erwin Data ModelerNeo4j
Likelihood to Recommend
Quest Software
I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
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Neo Technologies
Neo4J is great for creating network graphs or illustrating how things are related. It is also good for finding individuals or things that have greater influence than others in a system. It is not appropriate if you have standard data sets that can be analyzed using conventional methods or visualized using Tableau, for example.
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Pros
Quest Software
  • Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
  • Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
  • Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
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Neo Technologies
  • Mature Query language, I found Cypher QL to be mature in handling all sorts of problems we throw at it. Its expressive enough to be intuitive while providing rich features for various scenarios.
  • Native support for REST API, that makes interacting with Neo4J intuitive and easy.
  • Support for Procedures in Java, procedures are custom code that could be added to the Neo4J to write custom querying of data. The best part about the procedures is it could be invoked using the REST API. This allows us to overcome any shortcomings from their Cypher query language.
  • Nice UI and interface for executing the Query and visualizing the response.
  • UI access controlled by User credentials allows for neat access controls.
  • Awesome free community edition for small-scale projects.
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Cons
Quest Software
  • Cost is the single largest barrier to entry with this tool.
  • Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
  • Support has been uneven at times.
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Neo Technologies
  • One of the hardest challenges that Neo4j had to solve was the horizontal scaling problem. I am not updated on recent developments, but at the time of my use, I couldn't find a viable solution.
  • Neo4j does not play with other open source APIs like Blueprint. You have to use the native Neo4j API.
  • There wasn't a visual tool to see your data. Of course, third party tools are always available, but I would have loved something which came with the Neo4j bundle. I love that Docker comes bundled with Kitematic, so it's not wrong to hope that Neo4j could also ship with some default visualization software.
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Usability
Quest Software
I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
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Neo Technologies
[Based on] Query Language, Performance on small and large data sets, integration and deployment, analysis, API support, Interactive UI.
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Support Rating
Quest Software
CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.
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Neo Technologies
No answers on this topic
Alternatives Considered
Quest Software
Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
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Neo Technologies
Neo4j is a graph store and has different use cases compared to another NoSQL Document store like MongoDB. MongoDB is a bad choice when joins are common as existing operators for joining two documents (similar to tables in a relational store) as Mongo 3.5 use SQL like join algorithms which are expensive. MongoDB is a great choice when distributed schemaless rich document structures are important requirements. Cross document transaction support is not native to MongoDB yet, whereas Neo4J is ACID complaint with all its operations.
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Return on Investment
Quest Software
  • It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
  • It allows us to have better support documentation.
  • It allows ease of communications between functional units.
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Neo Technologies
  • Positive: Less complex queries on graph structures, than in relational databases.
  • Negative: maintenance is a huge deal, things doesn't work and break, requiring lengthy restore operations.
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ScreenShots

erwin Data Modeler Screenshots

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