AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.
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Qlik Replicate
Score 8.4 out of 10
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Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
AWS Data Exchange fits best for scenarios where you have datasets that you would like to sell and you want to deliver it to anyone who would like to purchase it. It really beats having to set up downloads via your own website or portal. However, it can get complicated to manage if you're trying to deliver a dataset a client has already paid for.
Qlik Replicate works very well with relational data platforms, both on premise and in the cloud, for example Oracle, SQL Server, PostgreSQL, MySQL and others, it also works very well with DB2. If the data source is MongoDB, it is more complicated and currently there is no possibility of sending data to MongoDB.
Replicate is extremely stable and does not generate a lot of alerts/failures/issues that take up time to troubleshoot.
It is very easy to add new source tables to a Replicate task so that we're always in sync with new data available from the CRM.
It's nice that Qlik Replicate also allows you to create a job to stop and then restart your tasks during maintenance windows that occur on both the source and target systems.
The base Replicate web GUI is lacking. If you have dozens or more tasks, it's hard to get a sense of how they're performing. Enterprise Manager solves all of these problems but is a separate install.
The support portal is extremely difficult to navigate. It's hard to track down exactly what you're looking for.
It would be helpful to have better documentation and example queries for the tables in the Enterprise Manager analytics database.
Destination databases that don't support common DDL commands behave unpredictably. And the replication of schema changes isn't consistent.
There have been a lot of problems with ADX. First, the entire system is incredibly clunky from beginning to end.First, by AWS's own admission they're missing a lot of "tablestakes functionality" like the ability to see who is coming to your pages, more flexibility to edit and update your listings, the ability to create a storefront or catalog that actually tries to sell your products. All-in-all you're flying completely blind with AWS. In our convos with other sellers we strongly believe very little organic traffic is flowing through the AWS exchange. For the headache, it's not worth the time or the effort. It's very difficult to market or sell your products.We've also had a number of simple UX bugs where they just don't accurately reflect the attributes of your product. For instance for an S3 bucket they had "+metered costs" displayed to one of our buyers in the price. This of course caused a lot of confusion. They also misrepresented the historical revisions that were available in our product sets because of another UX bug. It's difficult to know what other things in the UX are also broken and incongruent.We also did have a purchase, but the seller is completely at their whim at providing you fake emails, fake company names, fake use cases because AWS hasn't thought through simple workflows like "why even have subscription confirmation if I can fake literally everything about a subscription request." So as a result we're now in an endless, timewasting, unhelpful thread with AWS support trying to get payment. They're confused of what to do and we feel completely lost.Lastly, the AWS team has been abysmal in addressing our concerns. Conversations with them result in a laundry list of excuses of why simple functionalities are so hard (including just having accurate documentation). It was a very frustrating and unproductive call. Our objective of our call was to help us see that ADX is a well-resourced and well-visioned product. Ultimately they couldn't clearly articulate who they built the exchange for both on the seller side and the buyer side.Don't waste your time. This is at best a very foggy experiment. Look at other sellers, they have a lot of free pages to try to get attention, but then have smart tactics to divert transactions away from the ADX. Ultimately, smart move. Why give 8-10% of your cut to a product that is basically bare-bones infrastructure.
The availability of the replicated data in disparate environments has is now crucial. Replacing a product like Qlik Replicate would require significant time, investments, and work. In addition, Qlik Replicate is reasonably reliable with few failures.
We now have greater business flexibility and scalability, and our big data integration projects have a quick rate of growth, which has been profitable for us. Independent of the sources involved, maintaining data consistency between sources is easy. One of my favorite features is the way it lets owners of the source system start and stop processes from updating their system windows.
The issue I've had is that Qlik does an awful job of keeping their customers informed when new versions of the software are available. We found that we were using a version that was no longer supported and could never get help. When it came time to get us upgraded so that we were on a current version, no one knew how to help get us to where we needed to be. We had to purchased professional services time and even then I was basically on my own to get everything built out and set up. Qlik needs to be more proactive with communicating about new releases and how to get your version upgraded in the most secure, safe way possible.
Follow the directions from the Qlik documentation. They are pretty straight forward and easy enough to follow. If you follow these, then you are not likely to have issues on implementation.
Great tool for data replication solution for Oracle/SQLServers/etc. Real easy to get it set up and start realizing business value. Getting the PoC accomplished in a short window. Product costing and easy to start small and scale as needed. It helped cover most of our ask compared to other solutions.
Prior to using Qlik Replicate, we used an ETL solution to copy data from the Oracle ERP system to the Microsoft SQL Server BI system at a 15-minute interval. It was very tedious to maintain. Qlik Replicate is much easier to use and we replicate data near real-time now.
