Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code
interface with the capacity for API and EDI connections for integrating with external organizations and
systems, as well as compliance with data protection regulations.
$550
per month
Db2 Big SQL
Score 9.0 out of 10
N/A
IBM offers Db2 Big SQL, an enterprise grade hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.
N/A
Informatica Cloud Data Integration
Score 8.3 out of 10
N/A
Informatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.
N/A
Pricing
Boomi
IBM Db2 Big SQL
Informatica Cloud Data Integration
Editions & Modules
Boomi
$550
per month
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Boomi
Db2 Big SQL
Informatica Cloud Data Integration
Free Trial
No
No
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Boomi
IBM Db2 Big SQL
Informatica Cloud Data Integration
Considered Multiple Products
Boomi
Verified User
Team Lead
Chose Boomi
I did not select Boomi. It is the tool used in the company. In my previous work I worked with InfoSphere DataStage and QualityStage, and I can say that these tools are much more powerful when making transformations, alerts, connect to different sources. Boomi is good at …
Db2 Big SQL
No answer on this topic
Informatica Cloud Data Integration
No answer on this topic
Features
Boomi
IBM Db2 Big SQL
Informatica Cloud Data Integration
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Boomi
8.0
33 Ratings
0% below category average
IBM Db2 Big SQL
-
Ratings
Informatica Cloud Data Integration
-
Ratings
Pre-built connectors
10.032 Ratings
00 Ratings
00 Ratings
Connector modification
5.029 Ratings
00 Ratings
00 Ratings
Support for real-time and batch integration
10.031 Ratings
00 Ratings
00 Ratings
Data quality services
10.029 Ratings
00 Ratings
00 Ratings
Data security features
5.131 Ratings
00 Ratings
00 Ratings
Monitoring console
8.033 Ratings
00 Ratings
00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Boomi
-
Ratings
IBM Db2 Big SQL
-
Ratings
Informatica Cloud Data Integration
10.0
2 Ratings
19% above category average
Connect to traditional data sources
00 Ratings
00 Ratings
10.02 Ratings
Connecto to Big Data and NoSQL
00 Ratings
00 Ratings
10.02 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Boomi
-
Ratings
IBM Db2 Big SQL
-
Ratings
Informatica Cloud Data Integration
8.5
2 Ratings
5% above category average
Simple transformations
00 Ratings
00 Ratings
10.02 Ratings
Complex transformations
00 Ratings
00 Ratings
7.02 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Boomi
-
Ratings
IBM Db2 Big SQL
-
Ratings
Informatica Cloud Data Integration
8.3
2 Ratings
6% above category average
Data model creation
00 Ratings
00 Ratings
9.01 Ratings
Metadata management
00 Ratings
00 Ratings
9.01 Ratings
Business rules and workflow
00 Ratings
00 Ratings
9.01 Ratings
Collaboration
00 Ratings
00 Ratings
7.02 Ratings
Testing and debugging
00 Ratings
00 Ratings
7.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Legacy systems often need to be replaced or integrated with new applications in order to modernize businesses. A strong API strategy that avoids custom coding and third-party programs is essential to enable this integration. Boomi's new-age connectivity and integration solutions ensure safe, secure, and robust integration. In the age of information, businesses are under more pressure than ever to be able to collect and manage large amounts of data. This data comes in from a variety of sources, including personalized devices such as voice assistants and wearable tech. While this data can be immensely valuable to businesses, they often lack the infrastructure necessary to handle it effectively. This can lead to data build-up in databases or silos, and can eventually lead to problems with integration and security.
My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
More from a development perspective. It is always difficult to use the properties features. It takes a while to understand how the data/variables can be used across an integration.
Dell Boomi should also invest more on API Management and not just seen as a ETL,ESB tool.
Should roll out features more often based on users reviews.
Dell Boomi has provided us with the ability to connect our campus together using our various existing platforms. There are many supported features and have yet to run into something that we cannot do. Its user interface is very intuitive which would allow users to begin developing fairly easily. There is a myriad of resources available
My IT and Finance teams have noted that setting up the tool is a breeze. Dell Boomi has never caused an issue during a system implementation that I am aware of. We are pleased with the tool and recommend others consider it.
IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
The atom sphere takes a time to load, when I open a process or when I open a log. One more slow processing is when I import objects from NetSuite.
About the performance of processing, it looks like Boomi takes a time to initialize some things such as connectors before starting the process. This is also performance we have.
Boomi support was responsive and knowledgable, however being a closed cloud service, it doesn't have good community support. We found the learning curve to be steep and there aren't avenues like google, forums, or blogs that provide community driven insight into the product or how to go about designing solutions using the tool
IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
We decided to go with Dell Boomi because another department in our company was already using the software. We did not research competitor applications to use as our business solution. Dell Boomi was very easy and quick to set up, so once we decided to use Dell Boomi for systems integration, we had it set up and running within a few working days.
MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
It has allowed us to scale significantly without having to add headcount, specifically those geared towards data entry. We went from a $10m ARR business to $200m ARR business with the same amount of Order Processors and 12x amount of transactions by leveraging Boomi to perform a lot of the work, and then having the Order Processing team to simply review that the transaction was processed successfully.