Composable DataOps Platform vs. IBM InfoSphere Information Server vs. Sigma Computing

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Composable DataOps Platform
Score 7.7 out of 10
Enterprise companies (1,001+ employees)
Composable Analytics is a business intelligence solution that provides both cloud-based services and on-premise solutions. Some key features include data flow-based applications, data process automation and application reusability.N/A
IBM InfoSphere Information Server
Score 8.0 out of 10
N/A
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.N/A
Sigma
Score 8.2 out of 10
N/A
Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.N/A
Pricing
Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Composable DataOps PlatformIBM InfoSphere Information ServerSigma
Free Trial
YesNoYes
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
YesNoNo
Entry-level Setup FeeNo setup feeNo setup feeOptional
Additional DetailsContact us for pricing.
More Pricing Information
Community Pulse
Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
Features
Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
8.7
4 Ratings
6% above category average
Sigma Computing
-
Ratings
Connect to traditional data sources00 Ratings9.94 Ratings00 Ratings
Connecto to Big Data and NoSQL00 Ratings7.54 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
9.6
4 Ratings
17% above category average
Sigma Computing
-
Ratings
Simple transformations00 Ratings10.04 Ratings00 Ratings
Complex transformations00 Ratings9.24 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
8.0
4 Ratings
2% above category average
Sigma Computing
-
Ratings
Data model creation00 Ratings8.72 Ratings00 Ratings
Metadata management00 Ratings7.74 Ratings00 Ratings
Business rules and workflow00 Ratings8.44 Ratings00 Ratings
Collaboration00 Ratings8.04 Ratings00 Ratings
Testing and debugging00 Ratings7.14 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
9.7
4 Ratings
20% above category average
Sigma Computing
-
Ratings
Integration with data quality tools00 Ratings10.04 Ratings00 Ratings
Integration with MDM tools00 Ratings9.53 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
-
Ratings
Sigma Computing
7.7
163 Ratings
6% below category average
Pixel Perfect reports00 Ratings00 Ratings6.1104 Ratings
Customizable dashboards00 Ratings00 Ratings9.3161 Ratings
Report Formatting Templates00 Ratings00 Ratings7.8133 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
-
Ratings
Sigma Computing
7.6
166 Ratings
6% below category average
Drill-down analysis00 Ratings00 Ratings8.2155 Ratings
Formatting capabilities00 Ratings00 Ratings7.1163 Ratings
Integration with R or other statistical packages00 Ratings00 Ratings7.35 Ratings
Report sharing and collaboration00 Ratings00 Ratings7.9162 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
-
Ratings
Sigma Computing
7.7
156 Ratings
7% below category average
Publish to Web00 Ratings00 Ratings7.8103 Ratings
Publish to PDF00 Ratings00 Ratings7.8130 Ratings
Report Versioning00 Ratings00 Ratings7.3120 Ratings
Report Delivery Scheduling00 Ratings00 Ratings7.9132 Ratings
Delivery to Remote Servers00 Ratings00 Ratings7.868 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Composable DataOps Platform
-
Ratings
IBM InfoSphere Information Server
-
Ratings
Sigma Computing
6.8
149 Ratings
16% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings00 Ratings8.6147 Ratings
Location Analytics / Geographic Visualization00 Ratings00 Ratings5.626 Ratings
Predictive Analytics00 Ratings00 Ratings6.218 Ratings
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Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
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Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
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Score 9.0 out of 10
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Score 10.0 out of 10
Enterprises
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IBM InfoSphere Information Server
Score 8.0 out of 10
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Score 8.0 out of 10
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User Ratings
Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
Likelihood to Recommend
7.7
(2 ratings)
8.9
(5 ratings)
8.3
(170 ratings)
Likelihood to Renew
8.0
(2 ratings)
8.0
(1 ratings)
10.0
(6 ratings)
Usability
-
(0 ratings)
-
(0 ratings)
7.6
(48 ratings)
Availability
-
(0 ratings)
-
(0 ratings)
8.2
(2 ratings)
Performance
-
(0 ratings)
-
(0 ratings)
9.1
(2 ratings)
Support Rating
-
(0 ratings)
-
(0 ratings)
10.0
(47 ratings)
Implementation Rating
-
(0 ratings)
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
-
(0 ratings)
7.3
(1 ratings)
Ease of integration
-
(0 ratings)
-
(0 ratings)
9.1
(1 ratings)
Product Scalability
-
(0 ratings)
-
(0 ratings)
8.2
(2 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
Composable DataOps PlatformIBM InfoSphere Information ServerSigma Computing
Likelihood to Recommend
Composable Analytics, Inc.
They need to better identify what their product excels at. I'm continually trying to think of new ideas to run through Composable Analytics. They need to better Identify what this product shines at and market themselves to that subset of an industry
Read full review
IBM
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.
Read full review
Sigma Computing
We were able to set up client-facing embedded reports with ease and security. The interface is not difficult to learn, although we may not be aware of or lack the necessary expertise to utilize more advanced features that would likely benefit us.
Read full review
Pros
Composable Analytics, Inc.
  • Flexible Dataflow Application
  • Easy to source data and then compose to create actionable items for supporting decision
  • Allowed to do different analysis
  • Extremely powerful tool to digest information to produce insight from the data
Read full review
IBM
  • IIS best for ETL ,not ELT , and many and diffrent source systems.
  • It also can process big data , unstuctured data
  • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
Read full review
Sigma Computing
  • Allows end users to easily dive into the data without having direct access to the table in our database management software.
  • Can easily turnaround dashboards that are detailed and visually pleasing.
  • Sigma is intuitive and as new features are rolled out it is easy to adopt and incorporate them into new and existing dashboards.
Read full review
Cons
Composable Analytics, Inc.
  • I can not really comment because I do not have a complete fluency with the product as of now.
  • Recreating the wheel on some uses but i guess that may be user error.
Read full review
IBM
  • I would be nice to have a new web development environment for DataStage.
  • Connectivity Packs such as Pack for SAP Application are a little pricey.
  • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
Read full review
Sigma Computing
  • Sigma Computing does not allow custom ordering of pivot fields in pivot tables easily
  • Sigma Computing lacks functionality for creating tables or sections that dynamically adjust to the browser window's height while maintaining a fixed height textbox at the bottom
  • Sigma Computing does not provide straightforward options for formatting totals in tables, such as renaming 'Total' to 'Average', 'Team Total', etc
  • Sigma Computing does not support searching by individual tab names within a workbook
Read full review
Likelihood to Renew
Composable Analytics, Inc.
This is an extremely productive tool.
Read full review
IBM
  • Scale of implementation
  • IBM techsupport
Read full review
Sigma Computing
Sigma has helped us a lot and has become an integral part of our daily workflow. It would be difficult to switch to another platform and have to rebuild the numerous metrics and performance reports that we have already established
Read full review
Usability
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
Read full review
Reliability and Availability
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
Yes, as long as you don’t conduct user error sigma is always up and running and waiting for you to complete your dashboards
Read full review
Performance
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
It depends, it loads quickly for smaller dashboards but when loading larger amounts of data it takes more time to do so
Read full review
Support Rating
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
Read full review
Implementation Rating
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
Was not involved in implementation
Read full review
Alternatives Considered
Composable Analytics, Inc.
I would compare them to custom system like Morgan Stanley has that I use. A more appropriate company is Novus or LightKeeper. This product is potentially much cheaper but Novus and Lightkeeper already have built in Analytics screens that you could potential build yourself with Composable.
Read full review
IBM
DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
Read full review
Sigma Computing
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, and deploy your models is a plus though.
Tableau is the gold standard for data visualization, no question. Power users will be able to create dazzling content that Sigma won't necessarily be able to easily match. However, since development usually happens via an extract, helping other users troubleshoot is an arduous process. Trying to re-do or un-do all the transformations and calculations that cause a certain number is very difficult.
With Sigma, all the queries happen directly against Snowflake and you can see the query logs. The data modeling happens right in a tabular, spreadsheet-like manner, so within only a few minutes, substantial transformations can happen, with visualizations just a few more clicks away.
Read full review
Scalability
Composable Analytics, Inc.
No answers on this topic
IBM
No answers on this topic
Sigma Computing
It is a cloud service offering that is able to expand based on your usage
Read full review
Return on Investment
Composable Analytics, Inc.
No answers on this topic
IBM
  • Productivity of the development of integration processes.
  • Better documentation and governance.
  • Reduce training costs of various technologies.
Read full review
Sigma Computing
  • Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
  • Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
  • Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.
Read full review
ScreenShots

Composable DataOps Platform Screenshots

Screenshot of Composable DataFlowScreenshot of Data and Analytics MarketplaceScreenshot of Screenshot of Composable DataPortalScreenshot of Composable DataPortal