Apache Hive vs Kibana

Likelihood to Recommend

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.

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Verified User

Engineer in Engineering

Computer Software Company, 51-200 employees

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It's well suited to creating dashboards for getting an overview of what is going on with an application.

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Nick Horvath

Software Architect

ScivantageFinancial Services, 51-200 employees

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Feature Rating Comparison

Apache Hive

Kibana

Customizable dashboards

Apache Hive

Kibana

Drill-down analysis

Formatting capabilities

Report sharing and collaboration

Apache Hive

Kibana

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pros

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.

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Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

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searching
near real-time

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Cristian Klein

Cloud Native Architect

ElastisysComputer Software, 11-50 employees

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Cons

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.

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Verified User

Analyst in Engineering

Hospital & Health Care Company, 501-1000 employees

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Some performance issues with large datasets.
Linking to dashboards makes extremely long urls.
Lack of reports.

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Nick Horvath

Software Architect

ScivantageFinancial Services, 51-200 employees

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Likelihood to Renew

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.

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Yinghua Hu

Senior Data Scientist

CARD.comFinancial Services, 11-50 employees

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No score

No answers yet

No answers on this topic

Usability

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.

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Verified User

Team Lead in Information Technology

Internet Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Support Rating

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.

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Partha Protim Pegu

Domain Consultant

InfosysInformation Technology & Services, 10,001+ employees

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Kibana 8.4

Based on 2 answers

We did not use the official Kibana support. Documentation was easy enough to follow.

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Cristian Klein

Cloud Native Architect

ElastisysComputer Software, 11-50 employees

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Alternatives Considered

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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Manjeet Singh

Senior Manager - Engineering

Hike MessengerInternet, 51-200 employees

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Kibana is free; it was the first and only thing we've tried in this area.

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Nick Horvath

Software Architect

ScivantageFinancial Services, 51-200 employees

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Return on Investment

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.

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Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

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reduces downtime
increases developer velocity

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Cristian Klein

Cloud Native Architect

ElastisysComputer Software, 11-50 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

Apache Hive

Kibana

Apache Hive

Kibana

Apache Hive

Kibana

Apache Hive

Kibana

Apache Hive vs Kibana

Apache Hive

Kibana

Feature Rating Comparison

BI Standard Reporting

Customizable dashboards

Ad-hoc Reporting

Drill-down analysis

Formatting capabilities

Report sharing and collaboration

Data Discovery and Visualization

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pros

Cons

Likelihood to Renew

Usability

Support Rating

Alternatives Considered

Return on Investment

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Rating Summary

Likelihood to Recommend

Likelihood to Renew

Usability

Support Rating

Add comparison