What users are saying about
81 Ratings
4 Ratings
81 Ratings
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Score 7.9 out of 100
4 Ratings
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Score 9.2 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

Panoply

Panoply is great for smaller organizations where analytics is critical, but it is unrealistic to hire a data engineer or build a data infrastructure. Panoply comes as a full data stack out of the box.
Anonymous | TrustRadius Reviewer

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

Panoply

  • It’s a good choice for building quick, multipurpose data stack for a variety of businesses needs.
John Cromwell | 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

Panoply

  • I hate the chat bots
  • The automated data ingestion is great, but does sometimes make for weird columns
Peter Weinberg | 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

Panoply

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

Panoply

Panoply 10.0
Based on 1 answer
It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.
John Cromwell | 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

Panoply

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

Panoply

Panoply's time to value is much more rapid than Redshift, BigQuery, or Snowflake.
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

Panoply

  • Saved time on Redshift setup
  • Saved support costs (monetary and temporal) by not having to set up on-premise
  • Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms
Peter Weinberg | TrustRadius Reviewer

Screenshots

Pricing Details

Apache Hive

General

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

Panoply

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
$325*

* 2 million rows, 12.5 GB of storage, unlimited queries

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