What users are saying about
4 Ratings
32 Ratings
4 Ratings
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Score 9.4 out of 100
32 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

ClickHouse

The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
Anonymous | TrustRadius Reviewer

Neo4j

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.
Anonymous | TrustRadius Reviewer

Pros

ClickHouse

  • Opensource
  • High performance
  • Multiple engines to adapt user cases
  • Easy configuration of data replication
Anonymous | TrustRadius Reviewer

Neo4j

  • 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.
Anudeep Palanki | TrustRadius Reviewer

Cons

ClickHouse

  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
Anonymous | TrustRadius Reviewer

Neo4j

  • 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.
Rahul Chaudhary | TrustRadius Reviewer

Usability

ClickHouse

No score
No answers yet
No answers on this topic

Neo4j

Neo4j 6.0
Based on 1 answer
[Based on] Query Language, Performance on small and large data sets, integration and deployment, analysis, API support, Interactive UI.
Anonymous | TrustRadius Reviewer

Alternatives Considered

ClickHouse

ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its characteristics compared to the other competitors.
Anonymous | TrustRadius Reviewer

Neo4j

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.
Nitin Pasumarthy | TrustRadius Reviewer

Return on Investment

ClickHouse

  • Queries that used to take more than 2 minutes now take less than 1 second
  • Possibility to analyze use cases in real time (before was impossible)
  • The applications are more complete and the users decisions are better
Anonymous | TrustRadius Reviewer

Neo4j

  • Our solution relies on Neo4j functionalities – it is a key component of our application and thus critical for achieving our business objectives. It has an extremely positive impact on our business.
Anonymous | TrustRadius Reviewer

Pricing Details

ClickHouse

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

ClickHouse Editions & Modules

Additional Pricing Details

Neo4j

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Neo4j Editions & Modules

On-premise Edition
Community EditionFree
Enterprise EditionContact Sales
  1. none
SaaS Edition
Aura FreeFree
Aura Professional$652
Aura EnterpriseContact Sales
  1. none
  2. per month
  3. none
Additional Pricing Details

Add comparison