IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.
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Vertica Analytics Database
Score10 out of 10
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The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica was acquired and supported by OpenText, then sold to Rocket Software in 2026.
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Pricing
IBM InfoSphere Information Server
Vertica Analytics Database
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information Server
Vertica Analytics Database
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
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More Pricing Information
Features
IBM InfoSphere Information Server
Vertica Analytics Database
Data Source Connection
Comparison of Data Source Connection features of IBM InfoSphere Information Server and Vertica Analytics Database
Feature
IBM InfoSphere Information Server
8.7
4 Ratings
4% above category average
Vertica Analytics Database
-
Ratings
Connect to traditional data sources
9.94 Ratings
00 Ratings
Connecto to Big Data and NoSQL
7.54 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of IBM InfoSphere Information Server and Vertica Analytics Database
Feature
IBM InfoSphere Information Server
9.6
4 Ratings
17% above category average
Vertica Analytics Database
-
Ratings
Simple transformations
10.04 Ratings
00 Ratings
Complex transformations
9.24 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of IBM InfoSphere Information Server and Vertica Analytics Database
Feature
IBM InfoSphere Information Server
8.0
4 Ratings
1% above category average
Vertica Analytics Database
-
Ratings
Data model creation
8.72 Ratings
00 Ratings
Metadata management
7.74 Ratings
00 Ratings
Business rules and workflow
8.44 Ratings
00 Ratings
Collaboration
8.04 Ratings
00 Ratings
Testing and debugging
7.14 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of IBM InfoSphere Information Server and Vertica Analytics Database
Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
Managing large workloads (concurrent queries) is a bit challenging.
Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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 disk, which itself is run transparently as a background process.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info