Top Rated OpenText Vertica Alternatives
It is a pretty stable Datawarehouse solution and really manageable in some aspects as many other similar solutions it allows for scale of thousands and thousands of records Review collected by and hosted on G2.com.
It has a lot of flaws like sometimes queries would take ages if you are not constantly purging your tables (in case you do a lot of deletes over that table) something I haven't experienced in other solutions like Redshift Review collected by and hosted on G2.com.
215 out of 216 Total Reviews for OpenText Vertica
Overall Review Sentiment for OpenText Vertica
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It is best suitable for analytics and Big Data. I could process million of rows on real time basis. Review collected by and hosted on G2.com.
It is not flexible with Cloud-native platforms. It doesn't provide scalability to greater extent. Review collected by and hosted on G2.com.
OpenText Vertica is flexible to do multiple tasks at a time and handles heavy loads of data processing with complex queries. The data lakes integrates multiple data sources enhancing the data analytics. The facility to add more clusters helps in handling huge tasks, better suits for large organizations. Review collected by and hosted on G2.com.
Implementing and integrating OpenText Vertica is quite complex. It requires good level of knowledge to work on tasks. Expensive in maintaining the system infrastructure hence doesn't fit for small businesses. The training documents and customer support could have been better. Review collected by and hosted on G2.com.
The vertica datawarehouse offers columnar store database structure capable of handling big data workloads
unlike other traditional databases.
This architecture coupled with other efficient parellel processing techniques
allows for exceptional performance when resolving complex OLAP problems
and rightly so that is their USP.
This comes in handy especially when you deal with near real-time stream workloads usecases.
Lastly, they have launched VerticaPylab which is a great addition for empowering ML based solutions
Also, integration to reporting services such as Tableau are easy to implement. Review collected by and hosted on G2.com.
In contrast to alternative tools in market, they have significantly
smaller userbase and hence getting help from online community for issues can be challenging.
After their aquisition from Micro focus to Opentext, there has been few changes in layout in documentation
as well as layout of UI , which creates additional learning curve.
After a certain threshold(of datasize), the operational costs drastically
increases which sometimes is not justifiable Review collected by and hosted on G2.com.
The flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Resharding the database as needed Rollback snapshots. Review collected by and hosted on G2.com.
No dislike. But to learn this new kind "Lakehouse" takes a little more time for a "traditional" DBA Review collected by and hosted on G2.com.
What I like best about it is that this platform offers wide range of bulit -in- analytical functions. It provides comprehensive security features. It is very easy to use and highly scalable. It is also known for its exceptional performance. It handle complex analytical quries on large datasets. Review collected by and hosted on G2.com.
What I dislike about OpenText Vertica is that it is it can be high cost for large-scale deployments or organizations with extensive data needs. It is complex to setup and configure for especially those users who are not familer with columnar databades. Review collected by and hosted on G2.com.
* Vertica is very fast. It works seemlessly with very large amount of data, it compresses the data very well.
* Vertica offers powerful built-in analytical tools for complexdata analysis. I have used this tool for marketing analysis.
* It is very easy to scale, we needed to scale up the nodes and it was done easily. Review collected by and hosted on G2.com.
* For those who are not familiar with terminal usage, for them it's GUI feels outdated.
* Vertica struggles with petabyte-scale data, facing scalability challenges.
* It is a bit expensive for large data. Review collected by and hosted on G2.com.
It is extremely fast than other databases perhaps due to the columnar databse struture. It can be deployed on almost all cloud platform as well along with mainframe. Multiple node failure is very low. Review collected by and hosted on G2.com.
The documentation is not comprehensive and it could be imporved upon. the SaaS solution is only available in AWS and not fro Azure and GCP. Review collected by and hosted on G2.com.
On behalf of various data engineers I can say that opentext vertics is a solution for datawarehousing and running alaysis on huge datasets with productivity and speed.
All and all this comes up as a effective solution to quickly get results with respect to thousands of rows of data. Review collected by and hosted on G2.com.
While it is suitable for your entire data (lake) this is a complex solution to analyze small data sets and the results might not be satisfactory. Review collected by and hosted on G2.com.
Opentext Vertica is a great platform to use for large data sets for data analysis and garher business insights Review collected by and hosted on G2.com.
OpenText has a lot of features to explore and it sometime lags while importing huge data set. Also, the pricepoint is a but on a higher side Review collected by and hosted on G2.com.
I love mostly about its scaling part and peak performance.
This product provides both multi cloud and hybrid cloud as well.
And it's unified interface and easiness to use. Review collected by and hosted on G2.com.
Nothing much as of now I am loving this product Review collected by and hosted on G2.com.
