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Apache Hive vs Oracle Exadata

Apache Hive
81 Ratings
Oracle Exadata
Top Rated
175 Ratings

Apache Hive

81 Ratings
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Score 7.9 out of 100

Based on 81 reviews and ratings

Oracle Exadata

Top Rated
175 Ratings
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Score 8.4 out of 100

Based on 175 reviews and ratings

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.

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Anonymous | TrustRadius Reviewer
Verified User
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Oracle Exadata

  • First, get the database on Oracle. If you are in an Oracle stack, it would be much better to use the Oracle products. If you are driving a Ferrari, you wouldn’t put a Mercedes engine in it. If you are writing a query, you cannot rely on other brands. Since I'm an architect, when I look for a product, I look for performance.
  • The installation is easy because it comes out-of-the-box and you just start using it.
  • Previous to Oracle Exadata, we were using a normal Oracle RAC service. We were just waiting for this product to come out.
  • I'm currently writing a data warehouse on Exadata. Before this solution, we were aiming for this to be completed by 8 a.m., when our ETLs would finish. With the help of Exadata's special features, this was reduced to 3 a.m. This solution allows us to bring more data within the same time period. It provides us with more subject areas that provide more reports to our users. Our ETL times reduced to 65%, then to 50%.

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Gurcan Orhan | TrustRadius Reviewer
Gurcan Orhan
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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.

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Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
Bharadwaj (Brad) Chivukula
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Oracle Exadata

  • Customize-able for specific functionality optimized for combination of online transaction or analytical processing.
  • Ability to serve mix workloads with resource management feature enables prioritizing allocation for certain workload.
  • Scale-able on-premise with compatibility for cloud deployment offers flexible solution for organization considering to transition from on-premise solution.

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Anonymous | TrustRadius Reviewer
Verified User
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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Oracle Exadata

  • Patching can often become quite involved and convoluted. It should be more transparent and straightforward.
  • Storage metrics can be difficult and time consuming to obtain.
  • Basic administrative functions can be hard to repair when discovered.
  • Vendor support can take a while to obtain. Generally several attempts are necessary to reach the right area of vendor expertise.

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Maurice Samuels | TrustRadius Reviewer
Maurice Samuels
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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.

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Yinghua Hu | TrustRadius Reviewer
Yinghua Hu
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Oracle Exadata

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.

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Anonymous | TrustRadius Reviewer
Verified User
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Oracle Exadata

No score
No answers yet
No answers on this topic

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.

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Partha Protim Pegu | TrustRadius Reviewer
Partha Protim Pegu
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Oracle Exadata

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

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Manjeet Singh | TrustRadius Reviewer
Manjeet Singh
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Oracle Exadata

Oracle Exadata Database Machine had the best performance overall hands down. It clearly beat the competition and we were seeing 1000X improvement on SAP HANA. Oracle Exadata Database Machine beat that without us refactoring our code. To achieve that in HANA, we had to refactor the code somewhat. Now this was for our limited POC of 5 use cases. Given the large number of stored procedures we had in Sybase, we need to capture more production metrics but we are seeing incredible performance.

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Gene Baker | TrustRadius Reviewer
Gene Baker
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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.

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Anonymous | TrustRadius Reviewer
Verified User
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Oracle Exadata

  • Single support from a single vendor with both machine and database from Oracle, which is costing us less.
  • With Exadata, we need less technical manpower and less technical support. A business transaction with the integrated and centralized database helps us focus on other business needs.
  • We don't need to buy additional licenses and Hardware for the next 3 to 5 years.

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Habeeb Akbar | TrustRadius Reviewer
Habeeb Akbar
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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
—

Oracle Exadata

General

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

Oracle Exadata Editions & Modules

Edition
Quarter Rack$14.51621
Database Server$2.90321
  1. Per Unit
Additional Pricing Details
—

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