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 710 criteria. The image below illustrates the strengths and weaknesses of datapine BI, compared to other [survey name] 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.
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 2023. 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 2,338 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.
In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of datapine BI & Analytics 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. Download now.
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 here all the features 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:
- business intelligence > reporting
- business intelligence > dashboards
- analytics
- decision management > performance management > KPI
- data discovery > analysis
- data governance > data management > SQL
- real-time analytics > real-time
- data connectivity > Microsoft Excel
- artificial intelligence
Are you curious about all elements (100+) of datapine BI? Then order the BI & Analytics Guide™ 2023 here.
Are you considering hiring a knowledgeable datapine BI specialist?
Do you want to hire an interim datapine BI specialist who is subject matter expert and implement an 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.
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 artificial intelligence > augmented reality, data discovery > analysis > cross-channel analysis and data discovery > data storytelling.
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: 2023 2022 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 running 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: cross-channel analysis, horizontal bar chart, finance analytics, stacked column chart and column charts.
The advantages and disadvantages of datapine BI
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, et cetera. 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 authentication, R, Windows, SDK, connectivity, Linux, Sharepoint, native, JSON and ODBC). 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
datapine has a moderate rating in our objective BI & Analytics survey on the subject ‘Business Intelligence’. The company scores 38% on this topic, compared to other vendors. However, this is one of the best engineered parts of datapine. 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 Data Discovery
datapine has a poor score in our 100% vendor-independent BI & Analytics survey on the section ‘Data Discovery’. The score amounts to 25%, relative to other vendors. The following criteria were used: analysis, time series and data visualization. In total, we examined 400 criteria within this section. Are you excited about the topic ‘Data Discovery’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:
3. datapine Real-time Analytics
The vendor datapine has a poor score in our objective BI & Analytics survey on the section ‘Real-time Analytics’. The score amounts to 24%, relative to other vendors. We considered the following factors: live connection, real-time consolidation and real-time forecasting. In total, we examined 19 criteria within this section. Would you like to delve further into the topic ‘Real-time Analytics’? Then download here our BI & Analytics Study 2023.
4. datapine Self-service BI
The company has a poor score in our objective BI & Analytics survey on the subject ‘Self-service BI’, given that they score 21% on this, relative to other vendors. We used the following selection criteria: self-service data preparation, self-service reporting, self-service analysis, self-service data discovery, self-service data analytics and self-service data visualization. In total, we examined 14 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Self-service BI’? Then download here our BI & Analytics Guide 2023.
5. datapine Decision Management
The company has a poor performance in our 100% vendor-independent BI & Analytics survey of the theme ‘Decision Management’. The company scores 21% on this topic, compared to other vendors. We considered the following factors: performance management, decision support, decision-making platform, decision optimization, decision intelligence, decision flow and design decisions. In total, we examined 30 features within this discipline. Would you like to go into more depth with the topic ‘Decision Management’? Then download here our BI & Analytics Guide.
6. datapine Data Governance
datapine has a poor score in our independent BI & Analytics survey on the subject ‘Data Governance’, given that they score 20% on this, relative to other vendors. The following criteria were used: data management, data encryption, data lineage and data acquisition layer. In total, we examined 91 features within this discipline. Would you like to delve further into the topic ‘Data Governance’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
7. datapine Analytics
datapine has a poor performance in our study on the subject ‘Analytics’. The score amounts to 19%, compared to other vendors. We looked at the following criteria, among others: advanced analytics and cloud analytics. In doing so, we analyzed the following products: datapine BI. In total, we examined 130 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Analytics’? Then download here our BI & Analytics Guide.
8. datapine Data Integration
datapine has a poor rating in our 100% vendor-independent BI & Analytics survey on the section ‘Data Integration’ with a score of 13%, compared to other vendors. We considered the following factors: data warehousing, data virtualization, data wrangling and cross-database joins. In total, we examined 76 aspects in this category. Are you excited about the topic ‘Data Integration’? Then download here our BI & Analytics Guide 2023. Or take a deep dive in the following content:
9. datapine Big Data
The vendor datapine has a poor performance in our objective BI & Analytics survey on the section ‘Big Data’, given that they score 12% on this, relative to other vendors. The following criteria were used: streaming, unstructured data, complex data, sensors, data lakes and big data appliance. In total, we examined 59 criteria within this section. Would you like to go into more depth with the topic ‘Big Data’? Then download here our BI & Analytics Guide.
10. datapine Mobile Business Intelligence
datapine has a poor rating in our objective BI & Analytics survey on the subject ‘Mobile Business Intelligence’. The score amounts to 12%, compared to other vendors. The following criteria were used: push notification and mobile analytics. In total, we examined 10 features within this discipline. Would you like to delve further into the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Study.
11. datapine Artificial Intelligence
The vendor datapine has a poor rating in our study on the subject ‘Artificial Intelligence’. The score amounts to 12%, compared to other vendors. We considered the following factors: machine learning, data science, natural language processing, linear regression, business rules and cognitive services. In doing so, we analyzed the following products: datapine BI. In total, we examined 164 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 Data Connectivity
The company has a poor score in our 100% vendor-independent BI & Analytics survey on the section ‘Data Connectivity’, given that they score 9% on this, compared to other vendors. We looked at the following criteria, among others: Sharepoint, Salesforce, connectivity, native, Teradata and Google Analytics. In total, we examined 91 aspects in this category. Would you like to become more proficient in the topic ‘Data Connectivity’? Then download here our BI & Analytics Study 2023.
13. datapine BI Infrastructure
The vendor datapine has a poor score in our objective BI & Analytics survey on the subject ‘BI Infrastructure’ with a score of 7%, compared to other vendors. The following criteria were used: authentication, infrastructure, repository, embedded analytics, open source, web services and web server. In total, we examined 162 aspects in this category. Would you like to go into more depth with the topic ‘BI Infrastructure’? Then download here our BI & Analytics Study.
14. datapine Multidimensional Models
The company has a poor score in our study on the subject ‘Multidimensional Models’. The score amounts to 6%, 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
The company has a poor score in our 100% vendor-independent BI & Analytics survey on the section ‘Performance Optimization’. The score amounts to 4%, 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™ 2023 here
In which sectors is datapine BI & Analytics most active?
In our recently updated, independent BI & Analytics study of, we also looked at which industries a software vendor moves to. This is the sector where datapine is (very) popular: manufacturing.
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 incompany. Then think about the following software: datapine BI. Of course you get acquainted with the ideas of the intelligent, data-driven organization.
Final assessment: datapine BI scores moderately
datapine has a minimal product portfolio with which it scores moderately 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 a few sectors, and specializing in business intelligence.
About Passionned Group
Passionned Group specializes in 100% independent BI & Analytics consulting and the implementation of BI & Analytics solutions. We help governments, institutions and commercial organizations to advance as intelligent, data-driven organizations.
