What users are saying about
81 Ratings
Top Rated
84 Ratings
81 Ratings
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Score 7.9 out of 100
Top Rated
84 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

Snowflake

Specific scenarios where Snowflake is very strong include analytical data processing scenarios. Snowflake is wonderful at inexpensively consolidating and storing data and allowing very fast access to that data while maintaining a low cost profile with it's ability to automatically resume and suspend virtual warehouses. Snowflake is less suited to transaction processing scenarios and isn't a best choice to back up an online order processing system.
Brian Bickell | 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

Snowflake

  • Resources that scale up and down automatically to ensure that queries run quickly and efficiently without paying for computing power that is not being used
  • Much more reliable than our previous software
  • No noticable limit to query size
  • Runs very quickly
Jake Schlingman | 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

Snowflake

  • Very limited amount of tabs - saved queries, which requires us to store the code somewhere else and re-use existing queries.
  • Performance can really be a problem if there are many users on the system at the same time.
  • SnowFlake support sometimes can be hard to reach.
Anonymous | 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

Snowflake

Snowflake 8.0
Based on 1 answer
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
Anonymous | TrustRadius Reviewer

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

Snowflake

Snowflake 8.7
Based on 11 answers
Extensive documentation and several tutorial videos are available online which reduces learning and deployment time. User Interface is very intuitive and provide flexibility to create databases, schema, tables and assign permissions in a few clicks (no need to write SQL queries). SQL History helps to track usages and billing dashboard provide credit breakup per warehouse. Create views and write procedures in JavaScript for more complex data transformation requirement
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

Snowflake

Snowflake 8.7
Based on 10 answers
Overall, the support from Snowflake has been very good. Since we are one of the major users for Snowflake and have a dedicated tech team to solve all the technical problem on our way. On the side of the technical problem, any sql related questions can be found from everywhere online.
Anonymous | TrustRadius Reviewer

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

Snowflake

The average percentage of time that a data warehouse is actually doing something is around 20%. Given this, the price by query estimate becomes an important pricing consideration. For this, Snowflake crucially decouples of storage and compute. With Snowflake you pay for 1) storage space used and 2) amount of time spent querying data. Snowflake also has a notion of a “logical warehouse” which is the “compute” aspect of the database. These warehouses can be scaled up or down to deliver different grades of performance. You can also configure the number of compute nodes to parallelize query execution. These warehouses can be configured to “pause” when you’re not using them for cost efficiency. As a result, you can have a super beefy warehouse for BI queries that’s only running when people are using your BI tools, while your background batch jobs can use cheaper hardware.
Andrew Goss | 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

Snowflake

  • Quick installation/setup for a data warehouse solution.
  • Make easy to handle/manage the various type of semi-structured data using the native solutions and provided new data modeling concepts such as schema-read data model and schema-write data model.
  • Make easy and simplified the workload management using virtual warehouses and materialized views.
Jacob Biguvu | 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

Snowflake

General

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

Snowflake Editions & Modules

Edition
US East$20.001
  1. Per TB
Additional Pricing Details

Add comparison