Apache Hive vs. Neo4j

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Hive
Score 8.1 out of 10
N/A
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A
Neo4j
Score 8.8 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
Apache HiveNeo4j
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
Apache HiveNeo4j
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
Best Alternatives
Apache HiveNeo4j
Small Businesses
Google BigQuery
Google BigQuery
Score 8.8 out of 10
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.5 out of 10
IBM Cloudant
IBM Cloudant
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HiveNeo4j
Likelihood to Recommend
8.0
(35 ratings)
2.1
(9 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
8.5
(7 ratings)
6.0
(1 ratings)
Support Rating
7.0
(6 ratings)
-
(0 ratings)
User Testimonials
Apache HiveNeo4j
Likelihood to Recommend
Apache
Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
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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
Apache
  • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
  • Relatively easy to set up and start using.
  • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
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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
Apache
  • Some queries, particularly complex joins, are still quite slow and can take hours
  • Previous jobs and queries are not stored sometimes
  • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
  • Sometimes, directories and tables don't load properly which causes confusion
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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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Likelihood to Renew
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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Neo Technologies
No answers on this topic
Usability
Apache
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
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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
Apache
Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
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Neo Technologies
No answers on this topic
Alternatives Considered
Apache
Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
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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
Apache
  • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
  • Apache hive can handle and process large amount of data in a sufficient time manner.
  • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
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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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