HPE MSA (modular smart array), formerly HP StorageWorks MSA, is a series of storage appliances, from Hewlett-Packard Enterprise, a product line built for a modest budget, available as the HPE MSA 2052 hybrid flash array, the HPE MSA 2500 SAN storage appliance, and the MSA 1050 SAN storage.
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IBM DataStage
Score 7.7 out of 10
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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.
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Pricing
HPE MSA
IBM DataStage
Editions & Modules
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Offerings
Pricing Offerings
HPE MSA
IBM DataStage
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
HPE MSA
IBM DataStage
Features
HPE MSA
IBM DataStage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
HPE MSA
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Ratings
IBM DataStage
8.2
11 Ratings
0% above category average
Connect to traditional data sources
00 Ratings
8.411 Ratings
Connecto to Big Data and NoSQL
00 Ratings
8.010 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
HPE MSA
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Ratings
IBM DataStage
7.7
11 Ratings
4% below category average
Simple transformations
00 Ratings
8.011 Ratings
Complex transformations
00 Ratings
7.511 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
HPE MSA
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Ratings
IBM DataStage
6.9
11 Ratings
12% below category average
Data model creation
00 Ratings
6.68 Ratings
Metadata management
00 Ratings
5.010 Ratings
Business rules and workflow
00 Ratings
7.010 Ratings
Collaboration
00 Ratings
7.011 Ratings
Testing and debugging
00 Ratings
6.511 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
The HPE MSA is best suited for basic SAN requirements. Having dual controllers provides redundancy and allows for firmware upgrades without incurring downtime to the environment. It provides enough IOPS for most workloads be it VMWare or servers requiring storage. For applications such as MS SQL or Exchange, other SAN solutions would be better. Plus the lack of storage snapshot capabilities is also a detriment to the product line. Lack of any reporting capability is also an issue especially when determining workload capabilities.
DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
Firmware upgrades. We have had major issues on two occasions, causing extended downtime. HP was quick to help and resolve, but I am not sure why our simple implementation caused an issue that should have been picked up by testing prior to release. Once was bad, twice painful. The end result is that we purchased a unit solely to test firmware upgrades on, not really great for us!
Support life span. Units go end of life support after around 4 years, a little too short for us.
Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
It is a functioning Replication system for us and checks all the boxes that the auditors are looking for. Further, it is inexpensive and the storage we purchased was cheap. HP has a good reputation in the industry that plays into the decision also.
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.
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.
IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
The dual controller configuration of the HPE MSA trumps the Synology DiskStation's single controller configuration. For that alone, I would select the HPE MSA. Without that setup, any controller issue or firmware upgrade is disruptive to the systems the SAN is providing storage to. Furthermore, HPE's support is better than what Synology currently provides. The lack of phone support on Synology's part slows down the troubleshooting of issues compared to HPE. Furthermore, HPE's engineers are able to do a remote session and can work on the problems directly compared to Synology's support.
With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.