CData Sync vs. Informatica Intelligent Data Management Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CData Sync
Score 8.0 out of 10
N/A
CData's Sync is a data pipeline tool able to connect data sources to the user's database or data warehouse, supporting at present over 200 possible sources, and a range of destinations (e.g. Snowflake, S3, Redshift), connecting on-premise or SaaS sources and destinations.N/A
Informatica Intelligent Data Management Cloud
Score 7.0 out of 10
N/A
The Informatica® Intelligent Data Management Cloud™ (IDMC) is designed to help businesses efficiently handle the complex challenges of dispersed and fragmented data to innovate with their data on virtually any platform, any cloud, multi-cloud and multi-hybrid.N/A
Pricing
CData SyncInformatica Intelligent Data Management Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CData SyncInformatica Intelligent Data Management Cloud
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
CData SyncInformatica Intelligent Data Management Cloud
Considered Both Products
CData Sync
Chose CData Sync
Tableau is another similar software tool, unlike CData Sync, rather transforms data into actionable insights. While CData Sync works with automation, tableau uses a drag box on its AVA, which in turn slows the work speed on the syncing of data. Over the years, I enjoyed the …
Informatica Intelligent Data Management Cloud
Chose Informatica Intelligent Data Management Cloud
Below are my comment based on 2+ year of experience in Informatica Cloud
PROS:
1. Scalable Data Pipeline
Chose Informatica Intelligent Data Management Cloud
Informatica has a user interface that is very compelling but has support for other systems that more modern tools do not.
Chose Informatica Intelligent Data Management Cloud
First, the wizard is easy to use making the learning curve for simple ETL tasks nice. Second, since Informatica is mature there are a good variety of connectors available. Finally, we have driven some fairly complex ETL solutions using only the cloud.
Chose Informatica Intelligent Data Management Cloud
We were originally given Informatica Cloud as a bundled piece of software with the Salesforce implementation company we signed up for so we didn't do a lot of detailed searching for competitors. Since then we have seen it go against Mulesoft Anypoint and Zapier. Both were good, …
Chose Informatica Intelligent Data Management Cloud
Informatica is a proven name in this space, and while Cloud does not have all the exotic features that Powercenter has, it is fast and light, working well for a very agile team that cannot always wait for the dedicated Informatica developer to fully build out an integration. …
Chose Informatica Intelligent Data Management Cloud
Having used SQL Server Integration Services (SSIS) in the past, Informatica Cloud was a huge-step up in functionality, usability and performance. Hands-down, Informatica Cloud is a much more robust product overall. While SSIS is well-suited for specific instances (i.e. SQL …
Chose Informatica Intelligent Data Management Cloud
We had years of experience with Informatica PowerCenter, but opted to leverage Informatica Cloud primarily due to the package's integrations with SaaS providers.
Chose Informatica Intelligent Data Management Cloud
Informatica Cloud (IC) and Dataloader are similar products, and we actually use both. IC is a much better tool for automating and standardizing data imports, but Dataloader is much better suited for ad-hoc data imports.
Chose Informatica Intelligent Data Management Cloud
The major reason in selecting Informatica Cloud Data Integration over the others was because of 1) Non-Complex Integrations 2) Cost factors for Licensing
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User Ratings
CData SyncInformatica Intelligent Data Management Cloud
Likelihood to Recommend
8.0
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
CData SyncInformatica Intelligent Data Management Cloud
Likelihood to Recommend
Evidently, CData Sync is an excellent middleware tool that is perfect for syncing data between systems. It is especially suitable and works well on SQL servers, DB2, MySQL, and Snowflake, and some of their brothering domains. However, it is a limitation in working with Sage 50 API. But if it is extracted with ODBC, it works well.
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Informatica Cloud is an excellent tool for freeing up trapped data in your internal systems and exporting it into a cloud data warehouse or SQL container. Especially if you have any internal SQL query generators that allow you to copy and paste into the Source setup. For example, we use Business Objects internally, and you can build out the query you need inside the firewall with that, then paste it into the query within Informatica Cloud while establishing the Source connection. This way you are not writing all your source parameters by hand, cutting new jobs setup time by 50%. Where Cloud will not suit you well is if you need significant visibility to the health of the system from a tracking, monitoring or error handling standpoint. Cloud will tell you it failed, maybe give you an example error, but has no further troubleshooting or diagnostic assistance to offer.
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Pros
  • Effortless use of no-code interfaces on data pipelining on.
  • High demand numbers of sources and destinations.
  • Works with even snowflake, with no error occurrence.
  • It uses ETL - (Extract / Transfer / Load).
  • It enhances data extraction and database support.
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  • Informatica Cloud is a great tool for automating data imports. Raw data files can be scheduled to run at designated times, and using pre-built mappings ensures that the data goes into the system accurately each time.
  • It is also a great tool for converting raw data into specific formatting. For example, configuring the mapping so that the first letter of a first, middle or last name is always capitalized.
  • Additionally, Informatica Cloud has a built-in field-matching tool so that records that already exist are updated rather than having duplicates created.
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Cons
  • Although efficient for SQL servers and MySQL, as well as Snowflake. It is not strong for other database engines, and an upgrade on this would do a lot.
  • The installation process is manual as opposed to the cloud installation it should be.
  • A feature of syncing auto increment ID key, that will help in existing data management.
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  • The User Interface can be a bit difficult to get in initial stages.
  • Error messages are hard to understand which sometimes takes a lot of time for the resolution
  • Cannot Implement complex SQL queries which should be fixed in future release.
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Support Rating
No answers on this topic
I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.
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Alternatives Considered
Tableau is another similar software tool, unlike CData Sync, rather transforms data into actionable insights. While CData Sync works with automation, Tableau uses a drag box on its AVA, which in turn slows the work speed on the syncing of data. Over the years, I enjoyed the friendly and customizable option of CData Sync over Tableau's.
Read full review
Having used SQL Server Integration Services (SSIS) in the past, Informatica Cloud was a huge-step up in functionality, usability and performance. Hands-down, Informatica Cloud is a much more robust product overall. While SSIS is well-suited for specific instances (i.e. SQL Server-specific implementations), Informatica Cloud is a much better product as an overall integration/transformation tool.
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Return on Investment
  • Reserves resources by covering human power via its automated sync method.
  • Saves time: on launching data collectively into a compatible domain.
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  • A positive impact is bringing more projects.
  • Getting data out of various systems such as Salesforce.com or FTP and consolidating it into tables in one central database.
  • Having the ability to run data transformation tasks (the equivalent of batch jobs in SF or stored procedures in SQL) on a schedule without consuming those resources on the target or source systems.
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