Sold by: IBM Software
IBM DataStage on Cloud Pak for Data is a modern, cloud native, secure data integration solution that enables you to collect, transform, enrich, and deliver data at any scale and complexity. Bring IBM DataStage best in breed parallel engine to run data integration tasks in your AWS account.
Sold by: IBM Software
Overview
IBM DataStage on IBM Cloud Pak for Data is a modernized data integration solution to collect and deliver trusted data anywhere, at any scale and complexity, on and across multi cloud and hybrid cloud environments. Save on data movement costs by bringing a best-in-breed parallel engine to where your data is. Increase the productivity of your business and IT users through automated job design and out of the box, native integration with cloud data lakes, real time data sources, relational databases, big data, and NoSQL data stores.
IBM DataStage is the data integration tool of choice for customers across industries.
- Design once, run anywhere paradigm allows you to bring data integration to where your data resides.
- A best in breed parallel engine processes substantial data volumes, and built in workload balancing supports multi cloud scalability and elasticity.
- Pre built functions reduce development time and improve consistency of design and deployment.
- Packaged CICD DevOps tooling and out of the box integration with data virtualization, governance, business intelligence, and data science services on IBM Cloud Pak for Data accelerates DataOps.
- In flight data quality and security helps ensure trusted data delivery to data lakes.
- Automated design templates, backward compatibility, and license cost savings benefit existing DataStage customers.
Highlights
- Best-in-breed parallel engine and automated load balancing to process data at scale and maximize throughput for your AWS data lake and data warehouse projects.
- Extensive prebuilt connectors to move data between AWS sources, multi-cloud sources and data warehouses, and on-premises sources. Increase developer productivity with hundreds of out-of-the-box, ready-to-use functions, and design and development capabilities.
- Design your data integration jobs once and deploy runtime components in your AWS environment to save development costs while eliminating data latencies. Deliver data quickly and in a secure tool.
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Pricing
Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Dimension | Description | Cost/12 months |
|---|---|---|
IBM DataStage for Cloud Pak for Data | IBM DataStage for Cloud Pak for Data, 6 VPC | $199,440.00 |
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Customer reviews
Banking
IBM Datastage for ETL
Reviewed on Mar 08, 2024
Review provided by G2
What do you like best about the product?
IBM InfoSphere DataStage is simple yet efficient tool for ETL processing.
It has the variety of stages to implement your designs and test the same at runtime.
It has got additional features compared to other ETL tools, which helps in debugging and error handling.
It has the variety of stages to implement your designs and test the same at runtime.
It has got additional features compared to other ETL tools, which helps in debugging and error handling.
What do you dislike about the product?
Datastage is UI is little at the backseat compared to other ETL tools.
Stages could be categorised based on functionalities.
Stages could be categorised based on functionalities.
What problems is the product solving and how is that benefiting you?
It is solving the data integration problems from variety of platforms and provide approciate data formats at the end user.
Like, JSON, Files, txts, DB , amd Bigdata etc
Like, JSON, Files, txts, DB , amd Bigdata etc
Leave a comment0 comments
Information Technology and Services
Good product
Reviewed on Jan 31, 2024
Review provided by G2
What do you like best about the product?
Its speed. It is very fast and responsive. Support is good.
What do you dislike about the product?
a little hard to use and implement. hs few bugs
What problems is the product solving and how is that benefiting you?
fast data integration and processing
Computer Software
Analyzing vendor data
Reviewed on Jan 25, 2024
Review provided by G2
What do you like best about the product?
There are two reasons for us to use it, less cost, and because it's user friendly.
What do you dislike about the product?
Customer support is excellent, furthermore there can be some improvement on the number of features.
We did not face any problems during its implementation and its integration.
Frequency of use is not high as we are not just relying on it, but we might in future.
We did not face any problems during its implementation and its integration.
Frequency of use is not high as we are not just relying on it, but we might in future.
What problems is the product solving and how is that benefiting you?
I cannot disclose it because of the company's policy, but in brief we are using it to analyse multiple vendor data.
Financial Services
Data Stage review
Reviewed on Dec 06, 2023
Review provided by G2
What do you like best about the product?
- performance excelente na execução de processos ETL para grande quantidade de dados.
What do you dislike about the product?
- Falta de documentação e conhecimento disponível para estudo e aprendizado.
- Falta de suporte por parte do fornecedor ( diversos problemas com o produto e também falta de suporte para funcionalidades como o quality stage).
- Interface não é nenhum pouco intuitiva e de difícil uso.
- Falta de suporte por parte do fornecedor ( diversos problemas com o produto e também falta de suporte para funcionalidades como o quality stage).
- Interface não é nenhum pouco intuitiva e de difícil uso.
What problems is the product solving and how is that benefiting you?
execução de processos etl e de qualidade de dados.
Information Technology and Services
IBM InfoSphere DataStage
Reviewed on Nov 20, 2023
Review provided by G2
What do you like best about the product?
Easy of use, easy of implementation, compact product. Very good team of customer support.
Great performance for large data volumes, allows parallelism
Great performance for large data volumes, allows parallelism
What do you dislike about the product?
it is not support code versioning without git integration
What problems is the product solving and how is that benefiting you?
Data Transformation, Data governance, interconnection of non-homogeneous origins, quick creation of interfaces between applications.
Creation and impletation of data quality rules
Creation and impletation of data quality rules