We performed a comparison between HVR Software and Palantir Gotham based on real PeerSpot user reviews.Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools.
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"In StreamSets, everything is in one place."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."
"The compare feature is the most valuable piece of it."
"This solution is seamless. From one platform, we can do just about anything."
"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."
"It should have a few more monitoring functionalities."
"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.
Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
With StreamSets, you can deliver the continuous data that drives the connected enterprise.
HVR is a high-ranking data replication software providing real-time data replication with high volume. One of the biggest advantages of this software is that it offers data replication from a variety of data management systems into data warehouses. They provide high-volume hybrid cloud data integration for Microsoft, Google Cloud, and Amazon Web Services, as well as data integration for Azure, AWS, Google Cloud, Enterprise Data Lake, and Snowflake. Additionally, HVR software offers SAP data replication as well as database replication.
HVR software works as an all-in-one solution for everything necessary for data replication. The data replication software they provide allows organizations to plan, predict, and respond with the most up-to-date available data. The solutions for data replication that HVR provides helps businesses improve their customer service, reduce margins, and resource plan. HVR Software provides real-time reporting and analytics, distributed architecture and manageability and support for various platforms, and enhanced scalability.
HRV Software offers many features for its customers, including:
The benefits of using HVR Software include:
HVR Software is one of the highest-rated data replication software by clients. Some of the customer feedback includes:
A Database Administrator at a manufacturing company, who is responsible for data replication, says using HVR Software allows you to sit back and let the software do the job for you while doing nothing other than looking at monitoring reports.
A Lead Infrastructure Engineer at a tech vendor points out that the biggest benefit of HVR Software is that it's a user-friendly solution that can handle heavy traffic.
HVR Software provides a lot of flexibility and serves as a stable data replication software, according to a Solution Delivery Lead and MDM lead at a consultancy.
The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.
HVR Software is ranked 24th in Data Integration Tools with 3 reviews while Palantir Gotham is ranked 36th in Data Integration Tools with 1 review. HVR Software is rated 8.6, while Palantir Gotham is rated 8.0. The top reviewer of HVR Software writes "Good stability and scalability, easy setup, and valuable compare feature". On the other hand, the top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". HVR Software is most compared with Oracle GoldenGate, Qlik Replicate, AWS Database Migration Service, Matillion ETL and Informatica Cloud Data Integration, whereas Palantir Gotham is most compared with Palantir Foundry, SAS Data Management, Azure Data Factory, Fivetran and Denodo.
See our list of best Data Integration Tools vendors.
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