IBM DataStage vs. Snowflake

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM DataStage
Score 8.6 out of 10
N/A
IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A
Snowflake
Score 9.0 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
Pricing
IBM DataStageSnowflake
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM DataStageSnowflake
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM DataStageSnowflake
Considered Both Products
IBM DataStage

No answer on this topic

Snowflake
Chose Snowflake
- Cost was the main aspect on the decision.
- Performance was in par or better compared to other tools in the market.
- Snowflake in my opinion stacks better than other tools I have used in the past.
Top Pros
Top Cons
Features
IBM DataStageSnowflake
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
9.1
9 Ratings
10% above category average
Snowflake
-
Ratings
Connect to traditional data sources9.59 Ratings00 Ratings
Connecto to Big Data and NoSQL8.88 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
9.5
9 Ratings
13% above category average
Snowflake
-
Ratings
Simple transformations9.89 Ratings00 Ratings
Complex transformations9.39 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
9.0
9 Ratings
10% above category average
Snowflake
-
Ratings
Data model creation9.46 Ratings00 Ratings
Metadata management8.78 Ratings00 Ratings
Business rules and workflow8.18 Ratings00 Ratings
Collaboration9.09 Ratings00 Ratings
Testing and debugging9.59 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM DataStage
8.9
8 Ratings
8% above category average
Snowflake
-
Ratings
Integration with data quality tools8.88 Ratings00 Ratings
Integration with MDM tools9.08 Ratings00 Ratings
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IBM DataStageSnowflake
Small Businesses
Skyvia
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Score 9.6 out of 10
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Score 8.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Db2
Db2
Score 8.7 out of 10
Enterprises
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Score 8.1 out of 10
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Score 8.7 out of 10
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User Ratings
IBM DataStageSnowflake
Likelihood to Recommend
8.8
(9 ratings)
9.3
(37 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(2 ratings)
Usability
9.0
(2 ratings)
8.7
(13 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(3 ratings)
9.8
(8 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
IBM DataStageSnowflake
Likelihood to Recommend
IBM
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
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Snowflake Computing
I am over our HR data, and we use Workday for our HR management system. I have a script in place that runs reports on Workday and saves the results as CSVs. I can then use stages in Snowflake to insert these CSVs into Snowflake, then I can insert or truncate and replace these staged tables into a final schema. Then once these are in a schema I can reference them and build out my data models. In addition to ingesting CSVs, Snowflake has the ability to write a CSV file to our Amazon S3 bucket. Ingesting these CSVs, transforming the data, then delivering it to a destination would've involved so much more coding than my current process if we were on any other platform.
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Pros
IBM
  • Data movement
  • Seamless integration of scripts and etl jobs
  • Descriptive logging
  • Ability to work with myriad of data assets
  • Direct integration for Governance catalog
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Snowflake Computing
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
Read full review
Cons
IBM
  • Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected.
  • Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work.
  • Diversify ways of authenticating users.
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Snowflake Computing
  • This tool is very much technical and proper knowledge is required, so mostly you have to hire an IT team.
  • I wish if various videos could be available for basic quires like its initiation, then I think it would act as a guideline and would help the beginners a lot.
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Likelihood to Renew
IBM
No answers on this topic
Snowflake Computing
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
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Usability
IBM
Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
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Snowflake Computing
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
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Performance
IBM
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
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Snowflake Computing
No answers on this topic
Support Rating
IBM
I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
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Snowflake Computing
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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Alternatives Considered
IBM
It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
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Snowflake Computing
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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Return on Investment
IBM
  • Reduce development time by 65% compared with hand coding.
  • Reduces ETL process maintenance times.
  • Better data governance for technical and non-technical people.
  • Improve time to market for initiatives that require data integration.
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Snowflake Computing
  • Positive impact: we use Snowflake to track our subscription and payment charges, which we use for internal and investor reporting
  • Positive impact: 3 times faster query speed compared to Treasure Data means that answers to stakeholders can be delivered quicker by analysts
  • Positive impact: recommender systems now source their data from Snowflake rather than Spark clusters, improving development speed, and no longer require maintainence of Spark clusters.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation