How does IBM ETL & Data Integration perform on different parts?
In our study we also analyzed all relevant products of IBM ETL & Data Integration software. We examined no less than 290 aspects. The bar chart below shows the scores (on a scale of 1-5) of IBM Data Integration, compared to other [survey name] tools. Please note that Passionned Group is 100% independent of the suppliers in the research. We are not a reseller, we do not make deals or have any relationship with the vendor. Among other things, we help and advise organizations in selecting the right ETL & Data Integration platform.
Figure 1: Strength-weakness analysis of the supplier IBM ETL & Data Integration. A top supplier can get a maximum of 100%. Reference: the ETL & Data Integration Guide 2023. Do you want to take a deep dive into our research design? Check out our buyers guide for ETL & Data Integration.
The IBM analysis was conducted by tapping into a lot of public big data and from there it was inspected in detail. More than 2,483 documents have been reviewed from IBM in recent years. In this process both algorithms as a senior expert played an important role in validating the results.IBM in our ETL & Data Integration Guide 2023. In our 100% vendor-neutral ETL & Data Integration Guide we have researched all the ins and outs of IBM ETL & Data Integration for you.
IBM and their complete ETL & Data Integration product portfolio
The vendor IBM has (a minimum of) 21 products in the field of ETL & Data Integration. Based on relevance we list the products of IBM below:
What is IBM Data Integration?
In this paragraph, we provide a description of IBM Data Integration, including some of its features and any related products. This product group consists of IBM Infosphere, Tivoli, IBM Cloud Pak, Q Replication, IBM Data Replication, IBM Data Server, Tivoli Enterprise Data Warehouse, IBM Zhyperwrite, IBM Data Quality, IBM BigIntegrate, IBM Cloud Paks and IBM MDM. This product / group of products can be best characterized by the following properties:
- data integration
- data connectivity > hadoop
- data management
- metadata management > metadata
- data management > big data management > big data
- data integration > ETL
- data integration > data integration platform
- master data management > master data
- data connectivity > apache > apache hadoop
- data quality management > data quality
Do you want to know everything about all properties (100+) of IBM Data Integration? Then download our ETL & Data Integration Guide™ 2023 here.
Do you want to hire an experienced IBM Data Integration specialist?
Do you want to hire an interim IBM Data Integration specialist who can do a mountain of work for you and can help you to implement an IBM Data Integration application? Or do you want to start an implementation process for one of the related products like IBM Infosphere Datastage, IBM Cloud Pak, IBM Infosphere Information Server and IBM Infosphere? You can do so using our interim services. Indeed, hiring IBM Data Integration developers is sometimes cumbersome and expensive. Drop a message here and we will be happy to come and support you.
What is IBM Infosphere?
In this paragraph, we provide a description of IBM Infosphere, including some of its features and any related products. This product group consists of IBM Infosphere Information Server, IBM Infosphere Datastage, Infosphere Change Data Capture, Infosphere Information Analyzer, IIDR, IBM Infosphere Information Analyzer, Infosphere Replication Server and Infosphere Information Server Data Quality. This product / group of products can be best defined by the following features:
- data management
- master data management > master data
- data integration
- data governance
- data infrastructure > operating system > windows
- data management > CDC
- data governance > test data
- data integration > data warehouse
- data quality management > data quality
Are you curious about all the functions (100+) of IBM Infosphere? Open the ETL & Data Integration Guide™ 2023 here.
What is IBM Infosphere Information Server?
This product is also known as: Infosphere Information Server, IBM Information Server
In this paragraph, we describe IBM Infosphere Information Server, including some of its features and any related products. This product can be defined by the following properties:
- data infrastructure > operating system > windows
- data integration
- data governance
- data integration > data warehouse
- data quality management > data quality
- data integration > data integration platform
- data infrastructure > microservice
- data infrastructure > operating system > linux
- metadata management > metadata
- data connectivity > JDBC
Are you curious about all the functionalities (100+) of IBM Infosphere Information Server? Download the ETL & Data Integration Guide™ 2023 here.
What is IBM Infosphere Datastage?
This product is also known as: Datastage, Infosphere Datastage, IBM Datastage
In this section, we provide a description of IBM Infosphere Datastage, including some of its features and any related products. This product / group of products can be best characterized by the following properties:
- data integration > ETL
- data connectivity > XML
- data infrastructure > operating system > linux
- data infrastructure > operating system
- data governance
- data management > big data management > big data
- metadata management
- data management > data sources
- metadata management > metadata
Are you curious about all the functions (100+) of IBM Infosphere Datastage? Then order the ETL & Data Integration Guide™ 2023 here.
What is Infosphere Change Data Capture?
This product is also known as: Infosphere CDC
In this paragraph, we provide a description of Infosphere Change Data Capture, including some of its features and any related products. The product Infosphere Change Data Capture can be best characterized by the following functionalities:
- data management > CDC
- data management > change data capture
- data infrastructure > operating system > z/os
- data integration > ETL
- data replication
- data management > real-time
- data integration > ETL > data transformation > table mappings
- data connectivity > JDBC
- data management > real time
Are you curious about all the functions (100+) of Infosphere Change Data Capture? Then download our ETL & Data Integration Guide™ 2023 here.
What is Infosphere Information Analyzer?
In this paragraph, we provide a description of Infosphere Information Analyzer, including some of its features and any related products. Infosphere Information Analyzer can be characterized by the following features:
- data quality management > data quality
- metadata management > metadata
- data connectivity > JDBC
- data integration
- data management > data sources
- metadata management > metadata repository
- data quality management > data quality assessment
- data governance
- data infrastructure > operating system > windows
- data infrastructure > operating system > linux
Do you want to know the intricacies of all features (100+) of Infosphere Information Analyzer? Download the ETL & Data Integration Guide™ 2023 here.
What is IIDR?
In this paragraph, we provide a description of IIDR, including some of its features and any related products. This product can be characterized by the following characteristics:
- data management > CDC
- data replication
- data infrastructure > operating system > linux
- data infrastructure > operating system > z/os
- data infrastructure > operating system > windows
- data infrastructure > operating system > UNIX
- data infrastructure > security > authentication > LDAP authentication
- data management > CDC > CDC replication
- data management > change data capture
- data connectivity > JDBC
Are you now curious about all the functionalities (100+) of IIDR? Then download our ETL & Data Integration Guide™ 2023 here.
What is IBM Infosphere Information Analyzer?
In this paragraph, we describe the key elements of IBM Infosphere Information Analyzer, including some of its features and any related products. This product can be characterized by the following features:
- data quality management > data quality
- data quality management > data profiling
- data management > data sources
- data governance
- data infrastructure > API
- data integration
- data connectivity > sql server
- metadata management > metadata repository
- data connectivity > ODBC
- data infrastructure > security
Are you curious about all properties (100+) of IBM Infosphere Information Analyzer? Then download our ETL & Data Integration Guide™ 2023 here.
What is Infosphere Replication Server?
We do not display here all the features but, in this paragraph, we provide a description of Infosphere Replication Server, including some of its features and any related products. This product can be characterized by the following features:
- data replication
- data infrastructure > operating system > z/os
- data management > CDC
- data integration > ETL > SQL
- data replication > sql replication
- data infrastructure > operating system > windows
- data management > CDC > CDC replication
- data management > real time
- data integration
- data infrastructure > operating system > UNIX
Do you want to know everything about all the functionalities (100+) of Infosphere Replication Server? Then download our ETL & Data Integration Guide™ 2023 here.
What is Infosphere Information Server Data Quality?
In this paragraph, we describe Infosphere Information Server Data Quality, including some of its features and any related products. This product / group of products can be defined by the following features:
- data quality management > data quality
- data integration
- data infrastructure > operating system > windows
- data integration > ETL
- information governance
- master data management
- data management
- master data management > master data
- data quality management > data cleansing
- data quality management > business rules
Do you want to know the intricacies of all the functionalities (100+) of Infosphere Information Server Data Quality? Then download our ETL & Data Integration Guide™ 2023 here.
What is Tivoli?
In this section, we portrait Tivoli, including some of its features and any related products. The Tivoli can be characterized by the following features:
- data infrastructure > operating system > z/os
- data infrastructure > operating system > windows
- data infrastructure > security
- data integration > ETL > SQL
- data infrastructure > security > authentication > SSO
- data connectivity > sql server
- data management > scheduling
- data management > real time
- data infrastructure > operating system > linux
Do you want to know the intricacies of all the functionalities (100+) of Tivoli? In that case order the ETL & Data Integration Guide™ 2023 here.
What is IBM Cloud Pak?
Under this heading, we give you insight in the key behaviors of IBM Cloud Pak, including some of its features and any related products. The IBM Cloud Pak can be best defined by the following characteristics:
- data infrastructure > security
- data infrastructure > operating system > red hat
- data infrastructure > cloud platforms
- data connectivity > AWS
- data infrastructure > microservice
- data connectivity > apache > apache spark
- data integration > data integrity
- data connectivity > GIT
- data governance
- data infrastructure > rest API
Are you curious about all the functionalities (100+) of IBM Cloud Pak? Download directly our ETL & Data Integration Guide™ 2023 here.
What is Q Replication?
We do not display here all the features but, in this paragraph, we describe the key elements of Q Replication, including some of its features and any related products. The product Q Replication can be best characterized by the following functionalities:
- data infrastructure > operating system > z/os
- data replication
- data integration > ETL > SQL
- data replication > sql replication
- data management > source table
- data infrastructure > operating system > UNIX
- data infrastructure > operating system > linux
- data infrastructure > operating system > windows
- data infrastructure > operating system
- data connectivity > ibm db2
Do you want to know everything about all elements (100+) of Q Replication? Then order the ETL & Data Integration Guide™ 2023 here.
What is IBM Data Replication?
We do not display here all the features but, in this paragraph, we give you insight in the key behaviors of IBM Data Replication, including some of its features and any related products. This product / group of products can be characterized by the following functionalities:
- data replication
- data management > CDC
- data integration > ETL > SQL
- data management > CDC > CDC replication
- data replication > sql replication
- data infrastructure > operating system > linux
- data infrastructure > operating system > z/os
- data infrastructure > operating system > UNIX
- data management > change data capture
- data infrastructure > operating system > windows
Do you want to know everything about all characteristics (100+) of IBM Data Replication? Download the ETL & Data Integration Guide™ 2023 here.
What is IBM Data Server?
We do not display here all the features but, in this paragraph, we provide a description of IBM Data Server, including some of its features and any related products. The IBM Data Server can be defined by the following characteristics:
- data connectivity > ODBC
- data connectivity > JDBC
- data infrastructure > operating system > windows
- data infrastructure > operating system
- data connectivity > ibm db2
- data infrastructure > operating system > linux
- data infrastructure > operating system > z/os
- data connectivity > XML
- data connectivity > ole db
- data infrastructure > operating system > UNIX
Are you now curious about all features (100+) of IBM Data Server? In that case order the ETL & Data Integration Guide™ 2023 here.
What is Tivoli Enterprise Data Warehouse?
In this paragraph, we report the (main) characteristics of Tivoli Enterprise Data Warehouse, including some of its features and any related products. This product can be characterized by the following characteristics:
- data integration > data warehouse > enterprise data warehousing
- data integration > data warehouse > enterprise data warehouse
- data connectivity > PDF
- data integration > data warehouse > data marts
- data integration > ETL
- data management > OLAP
- data connectivity > ibm db2
- data integration > data warehousing
Do you want to know everything about all properties (100+) of Tivoli Enterprise Data Warehouse? In that case order the ETL & Data Integration Guide™ 2023 here.
What is IBM Zhyperwrite?
Under this heading, we report the (main) characteristics of IBM Zhyperwrite, including some of its features and any related products. The IBM Zhyperwrite can be defined by the following characteristics:
- data infrastructure > operating system > z/os
- data replication
- data infrastructure > operating system > ios
- data infrastructure > operating system
- data infrastructure > security
- data connectivity > VSAM
- data governance > data protection
- data integration > ETL
Are you now curious about all elements (100+) of IBM Zhyperwrite? Then download our ETL & Data Integration Guide™ 2023 here.
What is IBM Data Quality?
We don’t reveal everything here but, in this paragraph, we describe IBM Data Quality, including some of its features and any related products. The product IBM Data Quality can be characterized by the following features:
- data quality management > data quality
- data quality management > address verification
- data governance > dataops
- data management > data sources
- data quality management > data quality analysis
- data governance
- data quality management > data quality issues
- master data management
- DQM
Are you now curious about all elements (100+) of IBM Data Quality? Download the ETL & Data Integration Guide™ 2023 here.
What is IBM BigIntegrate?
In this section, we provide a description of IBM BigIntegrate, including some of its features and any related products. This product can be best characterized by the following characteristics:
- data connectivity > hadoop
- data integration
- data management > big data management > big data integration
- data connectivity > apache > apache hadoop
- data management > data sources
- data integration > data integration hub
- data infrastructure > operating system > z/os
- data connectivity > salesforce
Do you want to know everything about all the functionalities (100+) of IBM BigIntegrate? Download the ETL & Data Integration Guide™ 2023 here.
What is IBM Cloud Paks?
In this paragraph, we report the (main) characteristics of IBM Cloud Paks, including some of its features and any related products. The product IBM Cloud Paks can be best defined by the following characteristics:
- data infrastructure > operating system > red hat
- data connectivity > AWS
- data infrastructure > security
- data infrastructure > cloud platform
- data management
- data connectivity > PDF
- data infrastructure > open source
- data infrastructure > operating system > linux
Do you want to know the intricacies of all properties (100+) of IBM Cloud Paks? Download directly our ETL & Data Integration Guide™ 2023 here.
What is IBM MDM?
We don’t reveal everything here but, in this paragraph, we describe the key elements of IBM MDM, including some of its features and any related products. IBM MDM can be defined by the following functionalities:
- MDM
- master data management > master data
- data management
- master data management
- data infrastructure > operating system
- data infrastructure > security
- data management > real-time
- data management > data migration
- data integration > ETL > SQL
- data infrastructure > operating system > windows
Do you want to know everything about all properties (100+) of IBM MDM? Download the ETL & Data Integration Guide™ 2023 here.
Innovations of IBM Data Integration-tools and the version history
Over time, IBM has seen a stable evolution in terms of ETL & Data Integration functionality and support for operating systems, cloud platforms and connectivity. The latest innovations are in the areas of data quality management > data quality remediation, data governance > test data > generating test data and data integration > ETL > data transformation > data type mappings.
We investigated IBM’s current releases of its complete ETL & Data Integration proposition. Below you can see the structure of the various releases of the various ETL & Data Integration products of IBM:
- IBM Cloud Paks: 1.0
- IBM Data Replication: 11.4
- IBM Infosphere Datastage: 11
- IBM Infosphere Information Analyzer: 2023
- IBM Infosphere Information Server: 11.7.1.1 11.7 11.5.0 11 9.1 8.5
- IIDR: 11.4 11.3.3.2 11.3.3 11
- Infosphere Change Data Capture: 6.5
- Infosphere Information Analyzer: 9
- Infosphere Replication Server: 9.7.0 9
- Tivoli: 2020
- Tivoli Enterprise Data Warehouse: May 2002
Behind each product we notate the version numbers, the list is ordered by time.
Can you easily determine the licensing costs of IBM Infosphere, IBM Infosphere Information Server and IBM Infosphere Datastage?
In many cases, it can be difficult to determine the licensing costs of IBM ETL & Data Integration because it depends on the country, the number of users, the connectors to data sources, and at what point in the year you request a quote. If you request a quote just before the end of the fiscal period of IBM, you can probably get a decent reduction in the license cost. As part of a cloud-first strategy, it makes sense running the software in the cloud, you only pay for the actual use. The purchase cost of IBM Infosphere, IBM Infosphere Information Server and IBM Infosphere Datastage may not be the single largest expense, but maintenance and support do show up in your budget every year.
What makes IBM ETL & Data Integration worth watching
In our study, we see that IBM in the field of ETL & Data Integration software has a number of specific features which are characteristic. This makes IBM Data Integration more or less unique: CDC replication, generating test data, master data integration, data quality analysis and data quality dimensions.
The advantages and disadvantages of IBM Data Integration
Figure 32: Tag cloud of the strengths and weaknesses of IBM ETL & Data Integration
Get to know the key features of IBM ETL & Data Integration in the following topic paragraphs. There we describe all the pros and cons of IBM ETL & Data Integration, IBM Infosphere, IBM Infosphere Information Server and IBM Infosphere Datastage, et cetera. These are not necessarily definitive because: IBM can currently work on developing a new functionality that closes the gaps in the product portfolio (such as support for amazon redshift, quickbooks, JAR, business rules, open source, sql script and SSAS). Or a certain feature is not (yet) (well) documented.
Share your experience with IBM ETL & Data Integration
Leave a review about IBM ETL & Data Integration here. Your experiences can then start to count in an even more informed review of the results of IBM Data Integration.
1. IBM Data Governance
The vendor IBM has an excellent score in our independent ETL & Data Integration survey of the theme ‘Data Governance’ (for this section IBM comes out as the absolute market leader in our research), given that they score 100% on this, compared to other vendors. We looked at the following criteria, among others: dataops, data protection and data privacy. In doing so, we analyzed the following five products: IBM Infosphere, IBM Infosphere Information Server, IBM Infosphere Datastage, Infosphere Information Analyzer and IBM Infosphere Information Analyzer. In total, we examined 11 criteria within this section. Would you like to learn more about the subject ‘Data Governance’? Then download here our ETL & Data Integration Guide.
2. IBM Data Replication
The company has an excellent rating in our independent ETL & Data Integration survey on the subject ‘Data Replication’ with a score of 89%, relative to other vendors. We looked at the following criteria, among others: data synchronization, database replication, sql replication, transactional replication, replication model, file replication and manual replication. In doing so, we investigated the following five products: Infosphere Replication Server, IBM Data Replication, Q Replication, IIDR and IBM Zhyperwrite. In total, we examined 32 criteria in this category. Would you like to become more proficient in the subject ‘Data Replication’? Then download here our ETL & Data Integration Guide 2023.
3. IBM Data Infrastructure
IBM has an excellent rating in our study on the subject ‘Data Infrastructure’ with a score of 87%, compared to other vendors. We considered the following factors: open source, operating system, data virtualization, interoperability, sandbox, data transfer and enterprise service bus. In total, we examined 87 aspects in this category. Would you like to go into more depth with the subject ‘Data Infrastructure’? Then download here our ETL & Data Integration Guide.
4. IBM Data Management
IBM has an excellent performance in our 100% vendor-independent ETL & Data Integration survey of the theme ‘Data Management’, given that they score 85% on this, compared to other vendors. We looked at the following criteria, among others: CDC, data sources and OLAP. In doing so, we studied the following four products: IBM Infosphere, IBM Data Integration, IBM Data Server and IBM MDM. In total, we examined 71 features within this discipline. Are you excited about the subject ‘Data Management’? Then download here our ETL & Data Integration Study 2023.
5. IBM Data Quality Management
IBM has an excellent rating in our independent ETL & Data Integration survey on the subject ‘Data Quality Management’ with a score of 83%, relative to other vendors. The following criteria were used: data quality, data profiling and business rules. In doing so, we analyzed the following products: IBM Data Quality. In total, we examined 28 criteria within this section. Would you like to learn more about the subject ‘Data Quality Management’? Then download here our ETL & Data Integration Study 2023.
6. IBM Data Connectivity
The company has a good performance in our study on the section ‘Data Connectivity’. The score amounts to 78%, relative to other vendors. We considered the following factors: sql server, hadoop and salesforce. In total, we examined 50 criteria in this category. Would you like to go into more depth with the subject ‘Data Connectivity’? Then download here our ETL & Data Integration Guide 2023.
7. IBM Data Integration
The company has a good performance in our objective ETL & Data Integration survey on the section ‘Data Integration’, given that they score 66% on this, relative to other vendors. We considered the following factors: ETL, data warehouse and data flow. In doing so, we looked at the following five products: IBM Infosphere, IBM Infosphere Information Server, IBM Data Integration, IBM Infosphere Datastage and IBM Data Replication. In total, we examined 167 features within this discipline. Would you like to learn more about the subject ‘Data Integration’? Then download here our ETL & Data Integration Study.
8. IBM Metadata Management
The vendor IBM has a good rating in our current ETL & Data Integration survey on the subject ‘Metadata Management’, given that they score 64% on this, compared to other vendors. We looked at the following criteria, among others: metadata, data catalog and data lineage. In doing so, we analyzed the following products: IBM Infosphere Datastage. In total, we examined 7 criteria in this category. Are you planning to specialize further in the subject ‘Metadata Management’? Then download here our ETL & Data Integration Guide. Or learn more about the following topics:
9. IBM Master Data Management
The company has a moderate score in our study on the subject ‘Master Data Management’ with a score of 42%, compared to other vendors. We looked at the following criteria, among others: master data, MDG, master data integration and master data quality. In doing so, we looked at the following three products: IBM Infosphere, IBM Data Quality and IBM MDM. In total, we examined 16 criteria within this section. Would you like to delve further into the subject ‘Master Data Management’? Then download here our ETL & Data Integration Guide 2023.
10. IBM Self-service Integration
The vendor IBM has a poor rating in our study on the subject ‘Self-service Integration’ with a score of 27%, compared to other vendors. We looked at the following criteria, among others: self-service data preparation, self-service data integration, self-service data management and self-service data profiling. In total, we examined 8 selection criteria within this main theme. Would you like to learn more about the subject ‘Self-service Integration’? Then download here our ETL & Data Integration Study 2023.
Want to know more? Then order the ETL & Data Integration Guide™ 2023 here
The footprint of IBM ETL & Data Integration in different sectors
In our study, we also looked at which industries a supplier is doing business. These are the industries where IBM has the largest footprint: agriculture, airlines, banking, education, energy, financial services, food, health care, insurance, logistics, pharmaceuticals, retail and telecom.
Hire an experienced IBM programmer
Training and courses IBM ETL & Data Integration
We provide various classes in the area of ETL & Data Integration but can also provide specific IBM training, for example as incompany. For example, you can think about the following software: IBM Infosphere, IBM Infosphere Information Server and IBM Infosphere Datastage. Of course, such training is framed with the ideas of the intelligent, data-driven organization.
Final assessment: IBM Data Integration scores high
IBM has a extensive product portfolio with which it scores high in our ETL & Data Integration survey. IBM ETL & Data Integration innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in lots of different sectors, and is strongest in data governance.
About Passionned Group
Passionned Group specializes in 100% independent ETL & Data Integration consulting and the implementation of ETL & Data Integration solutions. Our driven and passionate consultants help small and larger organizations to advance as a smart, data-driven business.
