What users are saying about
81 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 7.9 out of 100
24 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.5 out of 100

Likelihood to Recommend

Apache Hive

Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Apache Hive
Databricks Lakehouse Platform
8.3
Connect to Multiple Data Sources
Apache Hive
Databricks Lakehouse Platform
9.0
Extend Existing Data Sources
Apache Hive
Databricks Lakehouse Platform
9.0
Automatic Data Format Detection
Apache Hive
Databricks Lakehouse Platform
7.0

Data Exploration

Apache Hive
Databricks Lakehouse Platform
6.0
Visualization
Apache Hive
Databricks Lakehouse Platform
6.0
Interactive Data Analysis
Apache Hive
Databricks Lakehouse Platform
6.0

Data Preparation

Apache Hive
Databricks Lakehouse Platform
8.0
Interactive Data Cleaning and Enrichment
Apache Hive
Databricks Lakehouse Platform
8.0
Data Transformations
Apache Hive
Databricks Lakehouse Platform
9.0
Data Encryption
Apache Hive
Databricks Lakehouse Platform
7.0
Built-in Processors
Apache Hive
Databricks Lakehouse Platform
8.0

Platform Data Modeling

Apache Hive
Databricks Lakehouse Platform
8.3
Multiple Model Development Languages and Tools
Apache Hive
Databricks Lakehouse Platform
9.0
Automated Machine Learning
Apache Hive
Databricks Lakehouse Platform
8.0
Single platform for multiple model development
Apache Hive
Databricks Lakehouse Platform
9.0
Self-Service Model Delivery
Apache Hive
Databricks Lakehouse Platform
7.0

Model Deployment

Apache Hive
Databricks Lakehouse Platform
7.5
Flexible Model Publishing Options
Apache Hive
Databricks Lakehouse Platform
7.0
Security, Governance, and Cost Controls
Apache Hive
Databricks Lakehouse Platform
8.0

Pros

Apache Hive

  • Hive syntax is almost like SQL, so for someone already familiar with SQL it takes almost no effort to pick up Hive.
  • To be able to run map reduce jobs using json parsing and generate dynamic partitions in parquet file format.
  • Simplifies your experience with Hadoop especially for non-technical/coding partners.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Extremely Flexible in Data Scenarios
  • Fantastic Performance
  • DB is always updating the system so we can have latest features.
Anonymous | TrustRadius Reviewer

Cons

Apache Hive

  • Use Hive for analytical work loads. Write once and read many scenarios. Do not prefer updates and deletes.
  • Behind scenes Hive creates map reduce jobs. Hive performance is slow compared to Apache Spark.
  • Map reduce writes the intermediate outputs to dial whereas Spark operates in in-memory and uses DAG.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
Ann Le | TrustRadius Reviewer

Likelihood to Renew

Apache Hive

Apache Hive 10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Yinghua Hu | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Usability

Apache Hive

Apache Hive 8.5
Based on 9 answers
Thanks to its high usability Apache Hive enables users to craft extensive queries really efficiently and at the same time to how to hold response times very low. HiveQL simplicity makes it super easy to manage large datasets, what was almost an impossible task before introduction of Apache Hive data warehousing platform in our company.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

Support Rating

Apache Hive

Apache Hive 7.1
Based on 8 answers
Hive also has a community platform of its own just like other Hadoop frameworks. Most of the queries/problems are resolved in the community itself. We can just post our problems or get in touch with a specific user and get the issue resolved. Otherwise there is always the product support team for any resolution.
Partha Protim Pegu | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Alternatives Considered

Apache Hive

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
Manjeet Singh | TrustRadius Reviewer

Databricks Lakehouse Platform

Easier to set up and get started. Less of a learning curve.
Anonymous | TrustRadius Reviewer

Return on Investment

Apache Hive

  • It exposes the distributed calculation world (Hadoop) to the users but doesn't require the user to have the in-depth understanding of boilerplate details, it reduces the time of learning and let the data analyst can focus their efforts on the core business.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

Pricing Details

Apache Hive

General

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

Apache Hive Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

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

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Apache Hive
8.0
Databricks Lakehouse Platform
8.9

Likelihood to Renew

Apache Hive
10.0
Databricks Lakehouse Platform

Usability

Apache Hive
8.5
Databricks Lakehouse Platform
9.0

Support Rating

Apache Hive
7.1
Databricks Lakehouse Platform

Add comparison