The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by OpenText.
N/A
ZAP Data Hub
Score 10.0 out of 10
N/A
ZAP provides data management & analytics software, with optimized solutions for Microsoft Dynamics, Sage, SAP, and PowerBI. ZAP Data Hub is an ELT data warehouse automation software that helps to deliver accurate, trusted financial and operational reporting in BI tools.
N/A
Pricing
OpenText Vertica
ZAP Data Hub
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
OpenText Vertica
ZAP Data Hub
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
OpenText Vertica
ZAP Data Hub
Features
OpenText Vertica
ZAP Data Hub
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
As someone just starting out with data analytics and warehousing vertica is a great tool for a small scale business. It has amazing performance and can scale upto TBs of data. It works well for any organization which has about 100 - 500 DAUs of the system. The system doesn't require a lot of ops overhead. Scaling for PB data and 1000s of DAU is vertica's weak point. The system is just not designed for large scale usage and still has a long way to go to improve scalability. There are experiments to run Vertica query engine on top of HDFS which seem promising, however - if you have the the Hadoop ecosystem you are better off going the HDFS + Presto/Impala/SparkSQL route. But if you are in the Hadoop ecosystem, you probably are already investing a lot in ops.
ZAP is an incredible tool for those IT Organizations that need to stay lean. Within days, I was able to implement the ZAP solution instead of hiring Developers and ETL developers to tie into multiple Data infrastructures.
Column-oriented storage organization, which increases performance of queries.
Compression, which reduces storage costs and I/O bandwidth. High compression is possible because columns of homogeneous datatypes are stored together and because updates to the main store are batched.
Shared nothing architecture, which reduces system contention for shared resources and allows gradual degradation of performance in the face of hardware failure.
Easy to use and maintain through automated data replication, server recovery, query optimization, and storage optimization.
Support for standard programming interfaces ODBC, JDBC, ADO.NET, and OLEDB.
Integration to Hadoop with the capability to perform analytics on ORC and Parquet files directly.
One time, one of the nodes wasn't coming up because of some ambiguity with the local data. Vertica wasn't able to fix it by itself and we were trying to remove the node out of the database and we couldn't do it. It would be great if that could be addressed. Luckily when we rebooted the whole server, some of the dead transaction got flushed because of which vertica was able to recover and the node came up.
I would love to see a strong integration with Google Analytics. ZAP works great with CRM platforms but would be interested to get the metrics on how marketing campaigns are tied to organic traffic and PPC.
HP/Micro Focus Vertica support is in par with other bigger vendors. In addition to this, there is enough best practices documentation available for some of the most common ways you will use Vertica that makes it easy to get Vertica up and running.
MySQL and MS SQL Server are both fantastic RDBMS products. MS SQL Server goes a bit further since it has the builtin analytical functions. But it only scales so far. Once the data goes beyond capacity, getting results out just does not happen anymore. IBM Netezza and Teradata were both appliances that required different expertise than we had in house. Vertica was able to do the same, and in some cases better, on commodity hardware (frankly in our case old servers that were slated for recycling!) and at a small scale. In other words, Vertica we could grow slowly over time. Infobright is a great log processing database but for the functions we were looking to serve it just didn't have some of the features Vertica had that we felt were show stoppers.
