Alebra Technologies Parallel Data Mover vs Informatica PowerCenter

Alebra Technologies Parallel Data Mover is ranked 42nd in Other Data Integration and Access Tools vs Informatica PowerCenter which is ranked 2nd in Data Integration Tools with 7 reviews. The top reviewer of Informatica PowerCenter writes "It can work with any kind of database, including NoSQL ones, but when a database object changes then object definitions do not get refreshed automatically". Alebra Technologies Parallel Data Mover is most compared with FME. Informatica PowerCenter is most compared with SSIS, Oracle Data Integrator (ODI) and Informatica Cloud Data Integration.
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Quotes From Members Comparing Alebra Technologies Parallel Data Mover vs Informatica PowerCenter

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Pricing and Cost Advice
Information Not Available
Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it.Cost could be improved.We have found the pricing very cost-effective. The licensing is CPU and data source-based.

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Ranking
RANKING
Views
260
Comparisons
111
Reviews
0
Followers
180
Avg. Rating
N/A
Views
33,638
Comparisons
21,963
Reviews
7
Followers
1,044
Avg. Rating
8.0
Top Comparisons
Top ComparisonsSee more Alebra Technologies Parallel Data Mover competitors »
Compared 21% of the time.
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Also Known As
Also Known AsParallel Data MoverPowerCenter
Website/Video
Website/VideoAlebra Technologies
Informatica
Overview
OverviewAlebra Technologies’ Parallel Data Mover Software (PDM) is a unique parallel data streaming technology that tracks, accelerates, and automates data movement and data integration with applications across your enterprise, all while reducing MIPS consumption and improving efficiency. This includes movement and integration between mainframes and Linux, Unix and Windows (LUW), mainframe to mainframe, LUW to LUW, and mainframes to Hadoop.

Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.

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Sample Customers
Sample Customers
Information Not Available
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Top Industries
Top Industries
No Data Available
REVIEWERS
Healthcare Company
20%
Financial Services Firm
20%
Retailer
10%
Comms Service Provider
10%
VISITORS READING REVIEWS
Financial Services Firm
22%
University
13%
Healthcare Company
10%
Comms Service Provider
8%
Company Size
Company Size
No Data Available
REVIEWERS
Midsize Enterprise
14%
Large Enterprise
86%
VISITORS READING REVIEWS
Small Business
10%
Midsize Enterprise
11%
Large Enterprise
79%

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