Reviews Summary: Data Warehouse Software with Data lake Integration Features
Currently there are 17 Data Warehouse software products with Data lake Integration features listed on G2, and together they have generated 2,493 total reviews. These reviews are generated using the qualitative and quantitative feedback from G2 members who have used these software products.
G2 users review Data Warehouse software products based on criteria relating to user experience, setup, and support. Below you will find how users rated the 17 Data Warehouse software products that have Data lake Integration features based on those criteria:
- Ease of Use: 8.5/10 average user rating
- Quality of Support: 8.3/10 average user rating
- Ease of Setup: 8.2/10 average user rating
To help you compare and find the best Data Warehouse software product with the right Data lake Integration functionality for your business, we have gathered some additional details and FAQs below.
What Data Warehouse products with Data lake Integration features have the most reviews and are the highest-rated?
Based on quantity of reviews and average ratings, these are the most popular Data Warehouse software products with Data lake Integration capabilities according to G2 users:
- Google Cloud BigQuery is rated 4.5-stars and has 544 reviews
- Snowflake is rated 4.5-stars and has 476 reviews
- Amazon Redshift is rated 4.3-stars and has 356 reviews
What Data Warehouse software products with Data lake Integration capabilities are the most liked according to G2 users?
Based on the G2 ratings scale and regardless of review count, these are the highest-rated Data Warehouse software products with Data lake Integration capabilities:
- Google Cloud BigQuery is rated 4.5-stars with 544 reviews.
- Snowflake is rated 4.5-stars with 476 reviews.
- Databricks Data Intelligence Platform is rated 4.5-stars with 143 reviews.
- Panoply is rated 4.5-stars with 79 reviews.
- Rubrik is rated 4.6-stars with 20 reviews.
Which software products with Data lake Integration features are the highest rated on G2?
These are the Data Warehouse software products offering Data lake Integration capabilities and have the highest ratings:
- Google Cloud BigQuery has received 544 reviews and is rated 4.5-stars.
- Snowflake has received 476 reviews and is rated 4.5-stars.
- Databricks Data Intelligence Platform has received 143 reviews and is rated 4.5-stars.
- Panoply has received 79 reviews and is rated 4.5-stars.
- SQL Server 2019 has received 78 reviews and is rated 4.5-stars.
Review Snippets for Data Warehouse Software with Data lake Integration Features
| Questions | Responses |
|---|---|
| Here is what users liked best about Data Warehouse software with Data lake Integration features. |
Google Cloud BigQuery: "It's really powerful. Easy to import data from various sources."
- Dmitry S., Software Engineer, Small-Business (50 or fewer emp.)
Snowflake: "JSON / XML parsing from s3 to nice relational tables. Stupendously easy to set up and get data in."
- Joseph B., Data Leader and Architect, Mid-Market (51-1000 emp.)
IBM Db2: "Its improved performance to fetch data and availability for newer data call handling. The single table view that it provides and on demand supply of stored procedures."
- Shaifali G., Associate Quality Assurance at Nagarro, Enterprise (> 1000 emp.)
|
| Here is what users liked least about Data Warehouse software with Data lake Integration features. |
IBM Db2: "Slower and fewer advanced features than Oracle."
- Mark A. M., Business Leader at Wells Fargo Advisors, Enterprise (> 1000 emp.)
SAP Business Warehouse: "Nothing really that I not like about it."
- Kapil G., Enterprise (> 1000 emp.)
Databricks Data Intelligence Platform: "Data can be hard to pull (weite code in SQL) versus other platforms"
- Shivi G., Partner Account Lead at Flipp, Mid-Market (51-1000 emp.)
|
| These are what users recommend to others considering popular Data Warehouse software products with Data lake Integration capabilities. |
IBM Db2: "Use this tool for frequent large webapplication requiring robust data base setup."
- Shaifali G., Associate Quality Assurance at Nagarro, Enterprise (> 1000 emp.)
Snowflake: "There is no reason not to test it. It took us just a couple of hours using the tool for the light bulb to come on."
- Joseph B., Data Leader and Architect, Mid-Market (51-1000 emp.)
Google Cloud BigQuery: "It's cheap, so you can easily try it and see if it meets your requirements. It's especially useful if you use Google Cloud Platform, since it has a lot of integrations."
- Dmitry S., Software Engineer, Small-Business (50 or fewer emp.)
|
| These are the problems users said the software was solving and how it is benefitting them. |
Google Cloud BigQuery: "Not so large datasets with millions of entities. For some tasks it's much cheaper to use bigquery than running mapreduce jobs."
- Dmitry S., Software Engineer, Small-Business (50 or fewer emp.)
Snowflake: "Data storage, JSON / XML / AVRO parsing and aggregation, business intelligence, data science. The main benefits for us have been in improving design velocity and overall data access throughout the company."
- Joseph B., Data Leader and Architect, Mid-Market (51-1000 emp.)
IBM Db2: "Saving data for WebApplications handling large number of tables and thier communication."
- Shaifali G., Associate Quality Assurance at Nagarro, Enterprise (> 1000 emp.)
|
