Likelihood to Recommend It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an
Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
Read full review TV is well suited for high speed, which is a great for large tables. The workload functionality is very good when in Viewpoint. The BAR functionality could use a little work. QueryGrid is very useful as well. The client handlers are still a work in progress, as I keep hearing that they continue to fail. There are also many restarts on the systems as well.
Read full review Pros Create data pipelines to connect with multiple data workspace(s) and external data Ability to connect with Azure Data Lake (sequentially) for data warehousing Being able to manage connections and create integration runtimes (for onPrem data capture) Read full review ETL (Extract - Transfor - Load) NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage Teradata GeoSpacial feature Bulk reading and writing in huge tables MPP capacity already mature Temporal Capacity more mature that other solutions TASM Read full review Cons It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task. It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on. It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse. Read full review Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market. Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost. Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself. Read full review Likelihood to Renew Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
Read full review Usability The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
Read full review It has helped our project to save time, effort and give accurate results in the quickest possible time. The diagnostics feature is also outstanding giving us a detailed report of the error which occurred, when it occurred and the likely cause and resolution of the same as well. The support of SQL is inherited which makes it easy to work on it because you don't need to learn any new language for this.
Read full review Support Rating Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
Read full review We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
Read full review Alternatives Considered When client is already having or using Azure then it’s wise to go with Synapse rather than using
Snowflake . We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and blogs. I don’t see that with
Snowflake Read full review Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
Read full review Contract Terms and Pricing Model Basically, the billing is predictable, and this all about it.
Read full review Return on Investment We have had an improvement in our overall processing time Cost was much lower than most of its competitors Our reporting needs have grown and housing the data here has been great Read full review Saving time and cost through its stable integration tools which helps import and export a huge amount of different data. Providing analytics for the different data is easy and quick. Securing all the data processes across the entire company. Great Cloud solution for effective data quality management. Read full review ScreenShots Teradata Vantage Screenshots