datapine BI & Analytics

Photo Daan van Beek
Author: Daan van Beek
datapine BI specialist
Table of Contents

Meet datapine BI

In this contribution, we present a rough outline of our 100% vendor-independent BI & Analytics survey about the software vendor datapine and its product portfolio (such as datapine BI). datapine BI & Analytics scores better in our study than Incorta but slightly worse than Dundas. Of all the categories in our independent study, datapine has the most developed features in business intelligence and has a poor performance in performance optimization. We have been able to establish this objectively. Within the context of BI & Analytics, we have put together the main advantages and disadvantages of datapine BI, and arranged them by topic (business intelligence, big data, artificial intelligence, and data science). We also point out the features of the product portfolio such as datapine BI et cetera.

Datapine was acquired by RIB Software, a company specializing in construction industry software, in 2024. As a result, we anticipate that Datapine will no longer serve as a relevant stand-alone BI solution for industries outside of construction. Consequently, we have decided to remove Datapine from our BI guide, and the information on this page is not updated.

How does datapine BI & Analytics score on different parts?

In our independent study, we also inspected all relevant products of datapine software. We evaluated datapine BI & Analytics on no less than 720 criteria. The image below illustrates the strengths and weaknesses of datapine BI, compared to other BI & Analytics tools. Please note that Passionned Group is 100% independent of the suppliers in our guide. We do not sell licenses, we do not make deals or have done business with the supplier. Among other things, we help and advise companies in the proper selection of BI tooling.

Score of datapine BI software.Figure 1: Strength-weakness analysis of the supplier datapine BI & Analytics. The best supplier on a particular topic gets a maximum of 100 percent. Source: The BI & Analytics Guide 2024. Do you need additional information about the research justification? Click here to download this guide.

The datapine analysis was made possible by collecting a lot of public big data and from there it was thoroughly analyzed. More than 2,910 documents were analyzed for this vendor. In this analysis process, both algorithms as the subject matter expertise of a BI consultant played a key role in validating the results.The BI & Analytics Guide™ 2024 Image of The BI & Analytics Guide™ 2024In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of datapine for you. You get access to hundreds of (shorter) trainings, tech talks, lectures, demos, tutorials, and so on and always have the latest BI & AI news. Our guide will also help you in strengthening your knowledge about BI & Analytics.datapine in our BI & Analytics Guide

datapine and their complete BI & Analytics product portfolio

The vendor datapine has (a minimum of) 1 product in the realm of BI & Analytics. In order of popularity, we list the most important ones here:

What is datapine BI?

We do not display all the features here but, in this paragraph, we report the (main) characteristics of datapine BI, including some of its features and any related products. This product can be characterized by the following properties:

  • analysis
  • analytics
  • analytics platform
  • business intelligence
  • dashboards
  • data visualization
  • machine learning
  • reporting
  • SaaS
  • SQL

Are you curious about all elements (100+) of datapine BI? Then order the BI & Analytics Guide™ 2024 here.

Are you considering hiring a knowledgeable datapine BI specialist?

Do you want to hire an interim datapine BI specialist who is a subject matter expert, and implement a beautiful datapine BI application? Our interim specialists are happy to help. Indeed, hiring datapine BI developers is not always expedient. Leave a message here and we will be happy to work for you.

Screen shot of datapine BI software.
Picture of datapine BI tools.
datapine BI in action
Figures 2, 3, and 4: Overlying figures display how datapine BI runs. Click on the image to magnify. Credits: datapine & partners.

Recent innovations of datapine BI tools and the version history

Recently, we see a positive development in terms of BI & Analytics functionality and support for operating systems, cloud platforms and connectivity. The latest novelties are in the areas of data governance > data quality > data profiling, data integration > data warehousing > ODS, and big data > streaming.

We reviewed datapine’s most recent releases of its product portfolio. Below you can see the successive versions of all available BI & Analytics products of datapine:

  • datapine BI: 2024 2023 2022 4.6 1.0.41

Behind each product, we mention the version numbers, the most recent versions are mentioned first.

What are the licensing costs of datapine BI?

In many cases, it can be difficult to determine the licensing costs of datapine BI & Analytics because it depends on the country, the number of users, the connectors to data sources, and at what point in the year you request a quote. And before the end of a fiscal quarter of datapine, you may be able to look forward to a decent discount. In addition, it makes sense to run the software in the cloud. Often you only pay for what you consume in resources. The purchase cost of datapine BI may not be the largest cost item, but maintenance and support do show up in your budget every year.

What makes datapine BI & Analytics innovative

In our study, we see that datapine in the field of BI & Analytics software has a few specific features and thus differentiates itself from the competition. This makes datapine BI more or less unique: digital marketing analytics, finance analytics, pattern recognition, analytics hub, and massive volumes.

The advantages and disadvantages of datapine BI

Tag cloud of the datapine BI tools.Figure 5: Tag cloud of the pluses and minuses of datapine BI & Analytics

Get to know the key features of datapine BI & Analytics in the following topic paragraphs. There we describe all the advantages and disadvantages of datapine BI & Analytics, datapine BI. This overview and scores are not rigid: datapine may be working to creating functionality that closes the gaps in the product portfolio at this time (such as support for forecasting, active directory, Google BigQuery, LDAP, MongoDB, Impala, in-memory, Sharepoint, Azure Active Directory, and data lakes). In addition, documentation may lag behind current events.

Share your experience with datapine BI & Analytics

Report your experience with datapine BI & Analytics here. Your observations may then be taken into consideration and contribute to a better, even more balanced assessment of datapine BI.

1. datapine Business Intelligence

52%

datapine has a good rating in our objective BI & Analytics survey on the subject ‘Business Intelligence’. The company scores 52% on this topic, compared to other vendors. The following criteria were used: reporting, enterprise business intelligence, embedded business intelligence, and business process monitoring. In doing so, we assessed the following products: datapine BI. In total, we examined 73 features within this discipline. Are you planning to specialize further in the topic ‘Business Intelligence’? Then download here our BI & Analytics Guide.

2. datapine Decision Management

50%

datapine has a good score in our 100% vendor-independent BI & Analytics survey on the section ‘Decision Management’. The score amounts to 50%, relative to other vendors. The following criteria were used: performance management and decision support. In total, we examined 30 criteria within this section. Are you excited about the topic ‘Decision Management’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:

3. datapine Self-service BI

45%

The vendor datapine has a moderate score in our objective BI & Analytics survey on the section ‘Self-service BI’. The score amounts to 45%, relative to other vendors. We considered the following factors: self-service data preparation, self-service reporting, and self-service analysis. In total, we examined 14 criteria within this section. Would you like to delve further into the topic ‘Self-service BI’? Then download here our BI & Analytics Study 2024.

4. datapine Data Discovery

41%

The company has a moderate score in our objective BI & Analytics survey on the subject ‘Data Discovery’, given that they score 41% on this, relative to other vendors. We used the following selection criteria: time series, standard deviation, data storytelling, and share insights. In total, we examined 402 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Data Discovery’? Then download here our BI & Analytics Guide 2024.

5. datapine Real-time Analytics

39%

The company has a moderate performance in our 100% vendor-independent BI & Analytics survey of the theme ‘Real-time Analytics’. The company scores 39% on this topic, compared to other vendors. We considered the following factors: real-time, real-time data, data ingestion, real-time insights, near real-time, live connection, and real-time data warehousing. In total, we examined 19 features within this discipline. Would you like to go into more depth with the topic ‘Real-time Analytics’? Then download here our BI & Analytics Guide.

6. datapine Analytics

33%

datapine has a moderate score in our independent BI & Analytics survey on the subject ‘Analytics’, given that they score 33% on this, relative to other vendors. The following criteria were used: advanced analytics, geoanalytics, web analytics, customer analytics, retail analytics, and marketing analytics. In doing so, we analyzed the following products: datapine BI. In total, we examined 130 features within this discipline. Would you like to delve further into the topic ‘Analytics’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:

7. datapine Data Governance

29%

datapine has a poor performance in our study on the subject ‘Data Governance’. The score amounts to 29%, compared to other vendors. We looked at the following criteria, among others: data catalog and data encryption. In total, we examined 91 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Data Governance’? Then download here our BI & Analytics Guide.

8. datapine Big Data

27%

datapine has a poor rating in our 100% vendor-independent BI & Analytics survey on the section ‘Big Data’ with a score of 27%, compared to other vendors. We considered the following factors: streaming, unstructured data, complex data, sensors, data lakes, big data appliance, and Blob storage. In total, we examined 59 aspects in this category. Are you excited about the topic ‘Big Data’? Then download here our BI & Analytics Guide 2024. Or take a deep dive in the following content:

9. datapine Mobile Business Intelligence

26%

The vendor datapine has a poor performance in our objective BI & Analytics survey on the section ‘Mobile Business Intelligence’, given that they score 26% on this, relative to other vendors. The following criteria were used: iPhone, mobile server, mobile analytics, mobile dashboards, and mobile push notifications. In total, we examined 10 criteria within this section. Would you like to go into more depth with the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Guide.

10. datapine Data Integration

24%

datapine has a poor rating in our objective BI & Analytics survey on the subject ‘Data Integration’. The score amounts to 24%, compared to other vendors. The following criteria were used: cross-database joins and Extract-Transform-Load. In total, we examined 76 features within this discipline. Would you like to delve further into the topic ‘Data Integration’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:

11. datapine Artificial Intelligence

21%

The vendor datapine has a poor rating in our study on the subject ‘Artificial Intelligence’. The score amounts to 21%, compared to other vendors. We considered the following factors: machine learning, data science, natural language processing, linear regression, business rules, and cognitive services. In total, we examined 181 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Guide.

12. datapine BI Infrastructure

20%

The company has a poor score in our 100% vendor-independent BI & Analytics survey on the section ‘BI Infrastructure’, given that they score 20% on this, compared to other vendors. We looked at the following criteria, among others: authentication, infrastructure, repository, embedded analytics, open source, and web services. In total, we examined 162 aspects in this category. Would you like to become more proficient in the topic ‘BI Infrastructure’? Then download here our BI & Analytics Study 2024.

13. datapine Data Connectivity

17%

The vendor datapine has a poor score in our objective BI & Analytics survey on the subject ‘Data Connectivity’ with a score of 17%, compared to other vendors. The following criteria were used: Sharepoint, Salesforce, connectivity, native, Teradata, Google Analytics, and Amazon Redshift. In total, we examined 91 aspects in this category. Would you like to go into more depth with the topic ‘Data Connectivity’? Then download here our BI & Analytics Study.

14. datapine Multidimensional Models

12%

The company has a poor score in our study on the subject ‘Multidimensional Models’. The score amounts to 12%, relative to other vendors. The following criteria were used: OLAP, ROLAP, MOLAP, and tabular data models. In total, we examined 14 features within this discipline. Are you planning to specialize further in the topic ‘Multidimensional Models’? Then download here our BI & Analytics Guide.

15. datapine Performance Optimization

11%

The company has a poor score in our 100% vendor-independent BI & Analytics survey on the section ‘Performance Optimization’. The score amounts to 11%, compared to other vendors. The following criteria were used: in-memory, parallel processing, data pipelines, materialized views, cached data, and cache settings. In total, we examined 29 aspects in this category. Are you excited about the topic ‘Performance Optimization’? Then download here our BI & Analytics Guide.

Want to know more? Then order the BI & Analytics Guide™ 2024 here

In which sectors is datapine BI & Analytics most active?

In our research, we also found out at which industries a software vendor moves to. These are the industries where datapine is most frequently used: construction, energy, health care, insurance, restaurants, and retail.

datapine software is most used by…

The BI & Analytics software from datapine is most often mentioned in combination with the following functions/roles: business analysts, data scientists, and decision makers.

Hire a qualified datapine specialist

Training and incompany training datapine BI & Analytics

The specialists of Passionned Group organize various courses in the field of BI & Analytics but can also provide specific datapine training, for example as in-company. In these training sessions, we delve into various software applications including datapine BI. Of course, you get acquainted with the ideas of the intelligent, data-driven organization.

Final assessment: datapine BI scores reasonably well

datapine has a minimal product portfolio with which it scores reasonably well in our BI & Analytics survey. datapine BI & Analytics innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in many different sectors, and specializing in business intelligence.

About Passionned Group

logo of Passionned Group, the datapine BI & Analytics specialistPassionned Group helps organizations with data-driven working and the implementation of BI & Analytics solutions. We help governments, institutions and commercial organizations to advance as intelligent, data-driven organizations.

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