1010data vs. OpenText Vertica

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
1010data
Score 5.2 out of 10
N/A
N/AN/A
OpenText Vertica
Score 9.4 out of 10
N/A
The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by OpenText.N/A
Pricing
1010dataOpenText Vertica
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
1010dataOpenText Vertica
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
1010dataOpenText Vertica
Considered Both Products
1010data
Chose 1010data
While we have used SQL, 1010data is really the only industry standard product available for our use.
Chose 1010data
1010data is new, learn in fighting with those 800+ ibs mega-players. To get better Big Data Discovery and data sharing

1010data lets our analysts use all available data in an intuitive, interactive way. This makes analytics a flexible, exploratory process that encourages …
OpenText Vertica
Chose OpenText Vertica
Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on …
Chose OpenText Vertica
We have been evaluating Greenplum comparing with Vertica.
Chose OpenText Vertica
SAP HANA, Oracle, MySQL, and PostgreSQL are too heavyweight for achieving real-time latency requirements. Google BigQuery is limited to Cloud that makes hard to integrate with a large ingestion pipeline that may have both Cloud-based and on-prem components. Hadoop is much more …
Chose OpenText Vertica
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 …
Chose OpenText Vertica
Presto would be a good solution that would be less expensive and would also allow direct querying of all our data on Hadoop while maintaining good speed.
Chose OpenText Vertica
Vertica is great for small low complex queries and has great query performance over the other technologies that I have worked with.
Vertica fails to Hive wrt scalability and resource isolation, where Hive exploits hadoop's resource isolation.
Presto is almost comparable to …
Chose OpenText Vertica
Vertica is much easier to manage; is just software (i.e. vs. Netezza), easier to scale and extend, with a very powerful query execution engine and storage layer. While other solutions (e.g. Greenplum) are just postgres clones that were extended to run at scale but still keep …
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1010dataOpenText Vertica
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Medium-sized Companies
Cloudera Enterprise Data Hub
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Oracle Exadata
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User Ratings
1010dataOpenText Vertica
Likelihood to Recommend
10.0
(0 ratings)
8.0
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
7.9
(0 ratings)
User Testimonials
1010dataOpenText Vertica
Likelihood to Recommend
The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.
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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.
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Pros
  • Crunches huge datasets
  • Has versatility in functionality and grouping capabilities
  • Native XML macro language is easy to master
  • The platform has great visualization tools
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  • 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.
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Cons
  • More focus on healthcare
  • Better visualization
  • More function on complex database operations
  • Integration with EPIC
  • Reduce price
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  • 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.
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Usability
That's votes by our team.
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No answers on this topic
Support Rating
No answers on this topic
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.
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Alternatives Considered
While we have used SQL, 1010data is really the only industry standard product available for our use.
Read full review
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.
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Return on Investment
  • Positive impact on help business make a data-drive decision
  • Positive impact on big data analysis
  • Negative impact on user friendly
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  • Vertica increased our productivity in analyzing the data and validating simple proof of concepts with our data.
  • Results of analytical queries produced from Vertica are used by all departments as well as part of some of our products.
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ScreenShots