What is datapine?

datapine is the leading software provider in the field of innovative business intelligence, dashboard and reporting tools. Thanks to modern self-service analytics functions and an intuitive user interface, non-technical users can also access professional data analytics.

Pricing

datapine Starting Price

Awards
datapine Award

Our Awards and Recognition

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Key Features of datapine

Here are the powerful features that make datapine stand out from the competition. Packed with innovative tools and advanced functionalities, this software offers a range of benefits.

  • Ad hoc Analysis
  • Ad Hoc Reports
  • Analytics
  • Annotations
  • Budgeting & Forecasting
  • Campaign Tracking
  • Channel Attribution
  • Collaboration
  • Consolidation / Roll-Up
  • Container Monitoring
  • Dashboard
  • Dashboard Creation
  • Data Source Integrations
  • Data Visualization
  • Distributed tracing
  • Filtered Views
  • Functions / Calculations
  • Interactive
  • Key Performance Indicators
  • KPIs
  • Notes Management
  • OLAP
  • Performance Metrics
  • Predictive Analytics
  • Private Dashboards
  • Project Management
  • Public Dashboards
  • Public Safety
  • Qualitative Analysis
  • Quantitative Analysis
  • Relational Display
  • Reporting
  • ROI Tracking
  • Scorecarding
  • Scorecards
  • Social Media Metrics
  • Strategic Planning
  • Task Management
  • Themes
  • Visual Analytics
  • Visual Discovery
  • Website Analytics
  • Widgets
Show More
  • AI Governance
  • Annotations
  • Artificial Intelligence
  • Boolean Queries
  • Campaign Management
  • Channel Management
  • Collaboration
  • Content Management
  • Contextual Search
  • Conversion Tracking
  • Dashboard
  • Dashboard Creation
  • Data Analysis
  • Data Classification
  • Data Discovery
  • Data filtering
  • Data Management
  • Data Matching
  • Data Mining
  • Data Quality Control
  • Data Science
  • Data Source Integrations
  • Data Visualization
  • Data warehousing
  • Document Filtering
  • Email / Online
  • Event Triggered Actions
  • Filtered Views
  • For Education
  • For Healthcare
  • For Mobile
  • For Websites
  • Functions / Calculations
  • Graphical Data Presentation
  • Heatmaps
  • High Volume Processing
  • Interactive
  • Job Scheduling
  • Keyword Tracking
  • KPIs
  • Language Detection
  • Machine Learning
  • Machine Learning as a Service
  • Match & Merge
  • Media Analytics
  • Metadata Management
  • Mixed Methods Research
  • MLOps
  • Model Training
  • Modeling & Simulation
  • Multi-Campaign
  • Multi-Language
  • Multiple Site Management
  • Non-Relational Transformations
  • Pageview Tracking
  • Panel Management
  • Performance Metrics
  • Predictive Analytics
  • Predictive Modeling
  • Private Dashboards
  • Public Dashboards
  • Qualitative Comparative Analysis
  • Quantitative Content Analysis
  • Referral Source Tracking
  • Regression Analysis
  • ROI Tracking
  • Sample Management
  • Scorecards
  • Screen Activity Recording
  • Self Service Data Preparation
  • Sentiment Analysis
  • Site Search Tracking
  • Statistical Analysis
  • Statistical Modeling
  • Summarization
  • Survey Management
  • Tagging
  • Taxonomy Classification
  • Templates
  • Text Analysis
  • Text Analytics
  • Time on Site Tracking
  • Topic Clustering
  • Unmoderated Testing
  • Usability Testing
  • User Interaction Tracking
  • User Journeys
  • User Research
  • User Research Analysis
  • Visual Analytics
  • Visual Discovery
  • Visualization
  • Widgets
  • Workload Analysis
Show More
  • Ad Hoc Reports
  • Analytics
  • Benchmarking
  • Content Management
  • Dashboard Creation
  • Filtered Views
  • A/B Testing
  • Account Alerts
  • Account Management
  • Ad hoc Analysis
  • Ad hoc Query
  • Ad Hoc Reports
  • Agency Commission
  • Alerts/Notifications
  • Analytics
  • Annotations
  • Application Development
  • Approval Workflow
  • Asset Planning
  • Audience Targeting
  • Audit Trail
  • Balance Sheet
  • Benchmarking
  • Big Data Analytics
  • Bill of Materials Management
  • Bonus Management
  • Brand Management
  • Broad data source support
  • Budget Management
  • Budgeting & Forecasting
  • Built-in security and compliance
  • Business Bank Accounts
  • Business Filing
  • Business intelligence
  • Business Plan
  • Campaign Management
  • Campaign Tracking
  • Cash Management
  • Categorization / Grouping
  • Census Data Integration
  • Channel Attribution
  • Channel Management
  • Claims Management
  • Cohort Analysis
  • Collaboration
  • Commission Calculations
  • Commission Scheduling
  • Commission Tracking
  • Communication Management
  • Compensation Assessment
  • Compensation Calculation
  • Compensation Plan Modeling
  • Compensation Statements
  • Competing Product Analysis
  • Compliance Management
  • Configuration Management
  • Connectivity Management
  • Consolidation / Roll-Up
  • Contact Management
  • Content Management
  • Conversion Tracking
  • Curriculum Management
  • Customer Data
  • Customer Engagement
  • Customer Journey Mapping
  • Customer Lifecycle Management
  • Dashboard
  • Dashboard Creation
  • Data Analysis
  • Data Blending
  • Data Blends
  • Data Capture
  • Data Cleansing
  • Data Collection
  • Data Discovery
  • Data filtering
  • Data Governance
  • Data Integration
  • Data Management
  • Data Migration
  • Data Mining
  • Data Quality Control
  • Data Quality management
  • Data Security
  • Data Source Integrations
  • Data Visualization
  • Data warehousing
  • Decision Tree Analysis
  • Demand Forecasting
  • Demographic Data
  • Device management
  • Distribution Management
  • Document Management
  • Domain Name Registrars
  • Dynamic Modeling
  • Employee Reward Programs
  • ETL - Extract / Transfer / Load
  • Event Triggered Actions
  • Exception Reporting
  • Extensive API capabilities
  • Extract
  • transform and load (ETL)
  • File Sharing
  • Filtered Views
  • Financial Aid Management
  • Fintech
  • Fixed Asset Management
  • Flat Commissions
  • For Developers
  • Forecasting
  • Fraud detection
  • Functions / Calculations
  • Fundraising Management
  • Funnel Analysis
  • General Ledger
  • Geocoding
  • Global collaboration and multitenancy
  • Goal Setting / Tracking
  • Goal Tracking
  • Goals / Quota Management
  • Graphical Data Presentation
  • Health Score
  • Hierarchy Management
  • High Volume Processing
  • HIPAA Compliant
  • Image Exporting
  • In-App Events Tracking
  • In-Game Analytics
  • Incentive Programs
  • Income Statements
  • Interactive
  • Internet Mapping
  • Interoperability
  • Inventory Management
  • IT Asset Management
  • IT Budgeting
  • Job Scheduling
  • Key Performance Indicators
  • Keyword Tracking
  • KPIs
  • Labeling
  • Leaderboards / Activity Tracking
  • Legal
  • Map Creation
  • Map Sharing
  • Master Data Management
  • Match & Merge
  • Metadata Management
  • Milestone Tracking
  • Mobile Support
  • Modeling & Simulation
  • Monte Carlo Simulation
  • Multi-Campaign
  • Multi-Channel Publishing
  • Multi-Company
  • Multi-Department / Project
  • Multi-Department/Project
  • Multi-Domain
  • Multi-Office
  • Multi-Physician
  • Multi-player Gaming Network
  • Multi-Tiered Commissions
  • Multiple Data Sources
  • Multiple Site Management
  • Neobanks for Business
  • No-Code Sandbox
  • OLAP
  • Onboarding
  • Online Analytical Processing (OLAP)
  • Organizational Charting
  • Pageview Tracking
  • Patient Billing
  • Patient Portal
  • Patient Records
  • Patient Registration
  • Patient Scheduling
  • Pay-per-use pricing
  • Percentage Commissions
  • Performance Appraisal
  • Performance Management
  • Performance Metrics
  • Physician Scheduling
  • Portfolio Management
  • Predictive Analytics
  • Private Dashboards
  • Process Management
  • Product Analytics
  • Product configurator
  • Product data management
  • Product Lifecycle Management
  • Profit / Loss Statement
  • Profit/Loss Statement
  • Profitability Analysis
  • Project Planning
  • Prototyping
  • Public Dashboards
  • Purchasing & Receiving
  • Push Notifications
  • Qualitative Analysis
  • Quantitative Analysis
  • Recruiting Management
  • Referral Source Tracking
  • Regression Analysis
  • Relational Display
  • Relationship Mapping
  • Report writers
  • Requirements Management
  • Resource Management
  • Retention Tracking
  • Revenue Management
  • Revenue Tracking
  • Roadmapping
  • ROI Tracking
  • Rules-Based Workflow
  • Sales Trend Analysis
  • Scheduling
  • Scorecarding
  • Scorecards
  • Search
  • Self Service Portal
  • Semantic and Text Analytics
  • Sensitivity Analysis
  • Sentiment Analysis
  • Serverless autoscaling
  • Simulation Models
  • Site Search Tracking
  • Sliding Scale Commissions
  • Social media management
  • Social Media Metrics
  • Social Media Monitoring
  • Software Inventory
  • Spatial Analysis
  • SPICE
  • Split Commissions
  • Statistical Analysis
  • Statistical Modeling
  • Status Tracking
  • Strategic Planning
  • Student Information / Records
  • Support for Billion-row datasets
  • Templates
  • Territory Management
  • Testing Management
  • Text Analytics
  • Thematic Mapping
  • Themes
  • Time on Site Tracking
  • Trade Area Analysis
  • Trend / Problem Indicators
  • Trend Analysis
  • Uninstall Tracking
  • Usage Tracking / Analytics
  • User Interaction Tracking
  • Variable Workforce
  • Version Control
  • Virtual Credit/Debit Cards
  • Visual Analytics
  • Visual Discovery
  • Visualization
  • Visualization / Presentation
  • Web Hosting
  • Web Services
  • Website Analytics
  • Website builder
  • Website Monitoring
  • What If Scenarios
  • Widgets
  • Win / Loss Analysis
Show More
  • Ad hoc Analysis
  • Ad Hoc Reports
  • Algorithmic trading
  • Charting
  • Compliance Management
  • Consolidation / Roll-Up
  • Content Management
  • Content Management System
  • Conversion Tracking
  • Crypto
  • Dashboard
  • Dashboard Creation
  • Data Visualization
  • Diagnostic Tools
  • Dynamic Maps
  • Filtered Views
  • Fintech
  • Full Transaction Diagnostics
  • Goal Tracking
  • Key Performance Indicators
  • Multiple Site Management
  • OLAP
  • Online Analytical Processing (OLAP)
  • Pageview Tracking
  • Performance Control
  • Presentation Tools
  • Project Planning
  • Quantitative Analysis
  • Referral Source Tracking
  • Relational Display
  • Resource Management
  • Root-Cause Diagnosis
  • Scorecarding
  • Server Performance
  • Simulation Models
  • Statistical Analysis
  • Territorial Mapping
  • Time on Site Tracking
  • User Interaction Tracking
  • Visual Discovery
Show More
  • Address Validation
  • AI / Machine Learning
  • Analytics
  • Augmented Analytics
  • Benchmarking
  • Big Data
  • Collaboration
  • Columnar Databases
  • Conversion Tracking
  • Customer Data
  • Dashboard
  • Dashboard Creation
  • Data Analysis
  • Data Blends
  • Data Capture
  • Data Cleansing
  • Data Deduplication
  • Data Discovery
  • Data Extraction
  • Data filtering
  • Data Integration
  • Data Lake
  • Data Mapping
  • Data Migration
  • Data Mining
  • Data Profililng
  • Data Quality Control
  • Data Science
  • Data Security
  • Data Visualization
  • Data Warehouse
  • Data warehousing
  • Database
  • Embedded Analytics
  • Filtered Views
  • Fintech
  • Fraud detection
  • Goal Tracking
  • High Volume Processing
  • Information Governance
  • Job Scheduling
  • Keyword Tracking
  • KPI
  • Linked Data Management
  • Machine Learning
  • Master Data Management
  • Match & Merge
  • Metadata Management
  • Neural Network Modeling
  • No-Code Sandbox
  • Non-Relational Transformations
  • Pageview Tracking
  • Policy Management
  • Predictive Analytics
  • Predictive Modeling
  • Process Management
  • Real-Time Analytic Databases
  • Referral Source Tracking
  • Relational Database
  • Relational Display
  • Roles Management
  • Semantic Search
  • Site Search Tracking
  • Statistical Analysis
  • Templates
  • Text Mining
  • Time on Site Tracking
  • Time Series Databases
  • User Interaction Tracking
  • Version Control
  • Visual Discovery
  • Visualization
Show More

datapine Specifications

Get a closer look at the technical specifications and system requirements for datapine. Find out if it's compatible with your operating system and other software.

Deployment :
Any
Subscription Plan :
Monthly, Yearly
Accessibility :
Customization
Mobile Support
Desktop Platforms :
Web app
MacOs
Windows
Language Support :
Croatian
Czech
English
French
German
Italian
Russian
Slovak
Spanish
Swedish
Business :
StartUps
SMBs
Agencies
Enterprises
Available Support :
Email
Phone
Live Support
Training
Tickets
Integrations :
  • Amazon Aurora
  • Amazon RDS
  • Amazon Redshift
  • Amazon S3
  • CSV
  • Facebook Ads
  • Google Ads
  • Google Analytics
  • FTP Server
  • Google Cloud SQL
  • Google Spreadsheets
  • Heroku
  • Instagram
  • LinkedIn
  • Magento
  • MariaDB
  • Microsoft Azure
  • Microsoft Dynamics
  • Microsoft SQL Server
  • MySQL
  • Oracle
  • Percona
  • Pinterest
  • PosgreSQL
  • SAP Hana
  • Sugar CRM
  • Twitter
  • YouTube
  • Zendesk
  • Custom Connectors
Company Details :
Company Name : RIB Software GmbH
Headquarter : Stuttgart
Website : Visit Website
Full Address : Vaihinger Straße 151, 70567 Stuttgart, Germany

datapine Description

Here's the comprehensive description of datapine. Gain a brief understanding of its unique features and exceptional benefits.

Some datapine Advantages At a Glance

  • Perform queries and analyses independently of IT
  • Fast, uncomplicated access to company data
  • No setup or update costs & short implementation time
  • Modern SaaS technology - on request also available as individual on-premise version
  • Individual prices, tailored to personal requirements
  • High German safety standards and GDPR conformity
  • Optional services bookable: Dashboard creation, workshops, data management support, ETL processes, etc.
  • Free showcase dashboard with your own data on request - created by experienced data analysts
  • User-friendly onboarding and video tutorials

We reside in an era where the amount of data is so vast that it is difficult even to imagine how to manage and analyze it. Businesses have started accumulating so much information that handling it through Excel, PowerPoint, or static reporting is quite challenging. Nevertheless, technological advancement has demystified this issue with resources such as online data analysis. Yes, you can leverage the power of interactive dashboards and get rid of conventional ways of analyzing data.

If you aren’t aware of the benefits of an interactive dashboard, here’s a quick overview!

An interactive dashboard is a data management tool that efficiently tracks, analyzes, monitors, and displays business metrics. It enables users to interact with the data and make informed and data-driven business decisions. Moreover, the interactive dashboard allows different departments to collaborate more effectively.

Here, we will review one of the market's most compelling interactive dashboard tools – datapine.

Introduction to datapine

Datapine dashboard

datapine’s dashboard tool helps businesses build and share stunning dashboards in just a few clicks. With datapine, you can customize dashboards, automate reports, access key business metrics, and monitor all relevant business information on a single platform.

datapine lets you build an interactive dashboard in three simple steps!

Step 1: Connect Your Data

To start working with datapine, you’ll require connecting the data you want to analyze. These connections are referred to as ‘Data Sources’ by datapine. It allows you to connect to many different data sources.

Step 2: Select a Dashboard Template

In the Dashboard section, you can also create a new dashboard and access the existing ones. datapine offers over 80 pre-styled dashboard designs and layouts to choose from.

Step 3: Build / Edit Your Charts

You can build and edit your dashboard charts in the Analyze section with a simple ‘drag and drop’ functionality. You can add advanced functions like custom formulas, conditional formatting, forecasts, and trends.

Now that you are acquainted with the general working flow of datapine let’s take a look at the core components this dashboard software offers.

In-Depth Analysis of the 6 Main Components of datapine’s Analytics Platform

1. Connect

You will see a connection screen that lets you connect your data sources. You can add, edit, merge, update, or remove your data sources per your requirement. Various data sources are supported by datapine, including databases, CRM and ERP systems, flat files, Google Analytics, social media platforms like Facebook, Twitter, or Instagram, and other customized API connections.

datapine Connect

2. Analyze

This component helps you create actionable insights depending on the data you connect. The information is then stored in charts and graphs on your dashboard.

datapine Analyze

To make the most of your data and build a stunning interactive dashboard, datapine offers several visualization tools. It helps you gauge and analyze your business data in just a few seconds.

  • Visualization Types: Picking the right chart, table, or graph is crucial to make your dashboard more interactive and visually appealing. datapine provides numerous visualization types that assist you in extracting hidden information, highlighting trends, outliers, and more.

  • Chart Creator: You can choose from various available chart styles, graphs, and style options. It enables you to build robust and dynamic dashboards.

  • Calculated Fields: When you require additional calculations, you can create custom fields to mix them, as well as functions, to get exactly what you need. It lets you create customized fields and build cross-database metrics. You can also insert notes explaining your custom calculations or formulas so that other users can understand them.

  • Predictive Analytics: In 4 simple steps, you can take advantage of predictive analytics for reliable forecasts: 1) Choose the variable / KPI to forecast, 2) Specify the amount of data points for the output, 3) Define which past data points should be used for the prediction and if more recent periods should have higher weights, 4) Select the model quality by choosing a required confidence interval.

  • Formatting: datapine lets you apply various formatting options to your charts. It includes labels, colors, axes, and trends. You can also decide on the chart area, font style, font size, font color, and more.

  • SQL Mode: This is specifically for data analysts with excellent SQL skills. They can enter SQL code manually and get the visualized results instantly.

3. Dashboard

The dashboard section is the core element of datapine’s analytics platform. It is where you can fascinatingly represent your analytics results. You can save your insights, view stories, and share the same with people inside and outside your organization.

datapine Dashboard

When you click ‘Create New Dashboard,’ you’ll have over 80 pre-styled dashboard designs and layouts. You can fill the charts with your information and get a ready dashboard.

datapine Dashboard

If you want to develop a dashboard from scratch, you can select ‘Custom Dashboard.’ You can name your dashboard, choose with whom you want to collaborate, and define the Refresh Interval. Here, Refresh Interval is when you want datapine to query your data source.

For an existing dashboard, you can view the number of charts it contains, whether it is shared with users, and how many tabs it comprises. You can also change the cover of your dashboard if you wish.

Here are some interactive dashboard features that datapine offers

  • Click-to-Filter: An interactive dashboard provides a number of ways to dissect the represented data. Click-to-Filter enables you to explore the data you wish on the interactive dashboard. Simply click on any given data set in your charts, and the system will apply a quick filter to the relevant data on your dashboard and offer you new insights.

datapine Click-to-Filter

  • Chart Zoom: Robust interactive dashboard software like datapine lets you get a 30,000-foot view of your data on a chart with zoom-in and zoom-out functions. You can drag your mouse on the portion of the chart you want to view and scroll upside down or vice versa to enlarge and reduce the chart respectively.

 

  • Show/Hide Chart Values: To manage the combined data in a chart more efficiently, show/hide chart values is a must-have feature of an interactive dashboard. It helps you view only the data you wish to see with just a simple click of your mouse.

datapine Show-Hide Chart Values

  • Drill down: It is a neat feature of the datapine dashboard software that allows you to dive deep into a particular element. That means you can double-click on a given variable or KPI to obtain detailed information about it. For example, take a closer look at the total revenue on a map chart in the example below.

datapine Drill Down

  • Widget Linking: datapine’s widget linking helps you unify the dashboard and take your storytelling to another level. It allows you to add links to any widget on your dashboard – a graph, chart, image, or textbox. You can even link to other websites or resources if needed.

  • Hierarchical Filter: This feature offers a comprehensive look at how one filter can affect the other. Suppose you want to apply the filter on a specific ‘Product Category.’ With changes in this, the ‘Product Name’ filter will automatically get updated. Adding such a feature to your dashboard enables you to work more effectively and accurately with your dashboard.

  • Time Interval: This is an in-built dashboard software feature. It lets you study the given information on a daily, weekly, monthly, or yearly basis. You can change a particular chart's time intervals easily without affecting the other data on your dashboard.

 

datapine Time Interval

  • Dynamic Text Boxes/Images: Monitoring performance daily is quite troublesome. It consumes a lot of time and demands you to put in an enormous effort. But, with dashboard software like datapine, you can simplify the process using dynamic textboxes or images. Imagine these scenarios:

i) If a particular KPI possesses a value under your specified benchmark, it will display an exclamation mark. Thus, you can quickly identify that it is underperforming and requires your attention.

ii) If an element is performing well, a checkmark will appear on it. Hence, you can be assured of the performance of that element and focus on other areas.

  • Information Tooltip: When it comes to presenting a report, there is much information that you require to explain to your viewers. With its information tooltip feature, datapine lets you add specific explanations which pop up as soon as you bring your mouse cursor over it.

datapine Information Tooltips

4. Reports

You can send your dashboards in certain intervals via email to one or more recipients. You can choose to create a report as per your requirement.

  • Standard Report: It lets you send the same dashboard to all the recipients.
  • Customized Report: You can send a dashboard to a group of recipients, each with recipient-specific content. To achieve this, you can assign filter values to each recipient.

5. Alarms

datapine lets you create intelligent data alarms. These alarms monitor selected metrics as set by you and notify you whenever they notice any anomalies. You can select between these 3 alert types: neural network alert, pattern recognition alert, and threshold alert.

6. Smart Insights

This component from datapine analyzes your data and automatically generates multiple insights. It includes:

  • Growth and Forecast
  • Value Drivers
  • Key Segments
  • Outliers
  • Correlations
  • ‘What If’ simulations

Summary

With myriad interactive dashboard features and functionalities, datapine provides an excellent way to create professional dashboards and present your data in the most meaningful way.

Its secure Software as a Service infrastructure enables you to access your data from anywhere, anytime, as long as you have an Internet connection. In general, their interface is really intuitive and makes analytics available for business users, too.

You can explore more about datapine on its website or SoftwareSuggest’s Profile Page.

datapine founder

Expert Interview with Martin Blumenau, Founder of datapine

Founded in 2012, datapine is a Software as a Service platform that provides the power to visualize your data and represent it in the most professional way. With a brilliant team of data scientists, developers, technological leaders, and academics, datapine empower businesses of all sizes to communicate their data interactively. It has expanded its reach to more than thousands of users in 25+ countries across the globe.

In Conversation with Martin Blumenau, The Founder of datapine

What inspired you to start something like datapine?

I was regularly confronted with issues of extracting data from large databases to analyze the company’s metrics and derive insights that would help me in product development. Most of the time, I had to ask the IT department to generate a report since I’m not a developer myself, and that caused issues in my work. I wanted to be able to create, visualize, and extract data on my own, and that’s when my co-founder, Jakob, and me, saw the opportunity to solve a real business problem for companies and employees across the world, and to make data finally accessible whenever and wherever needed.

What is it that lets you stay passionate about datapine?

Our satisfied customers and dedicated team are crucial in pushing me every day to deliver the best possible results. When you see that our solution is actually helping companies to solve their own set of issues, and the people behind the product, all talented individuals, keep me motivated and passionate about datapine.

Share with us the set of challenges and opportunities you came along in this long journey.

Any business challenges and opportunities keep us going and excited about our future and force us to work even smarter. Recently we got acquired by RIB Software, and now we’re focusing on strengthening that partnership and developing our product even more.

How is your product benefitting its users?

We relieve the IT department from tedious tasks of generating reports and managing data sets that business users can do by themselves, using self-service business intelligence. With just a few clicks, every average employee can create their own visualizations, reports, and analyze data on their own. Basically, we increase productivity and save costs for every organization that uses our product.

Is there anything most critical you are working on right now? If so, how are you making it happen?

Due to the acquisition by a large international company, we’ve been busy with developing strategies to connect datapine into this large software family, so exciting times await us. Essentially, we now reached the next level to not only build a great product but now scale it to millions of users.

How do you measure success?

Customers are the ones that measure our success. When we see how much we’ve helped an organization in their data management challenges, and how satisfied are our users in 25 countries across the world, only then I can say we’re successful. And I firmly believe we are.

Define the work culture at datapine

I would say we work hard but play hard. Flat hierarchies are important to us, we can play games, throw a barbecue, but we’re also dedicated to our work as a top priority. Hence, I would say we’re a mixture of extremely dedicated working people that also like to play Mario Kart. We also provide flexible working schedules and try to keep our culture open and transparent. We have many international colleagues and we learn about different cultures every day. Our work culture is focused on success while having fun at the same time.

What do you do to motivate your team?

We gather for regular team events, have weekly barbecues, provide professional feedback, and always communicate in a friendly, yet professional manner so that everyone knows how much they are appreciated for their hard work and dedication. Often, we meet for a beer or after-work party. And in case someone can’t remember the evening anymore we still have our wall of shame with the most hilarious pictures.

If you weren’t building datapine, what would you be doing differently?

A good question, you never know where you will end up but most likely I would probably build another start-up. As long as you have a vision and great people around you, it doesn’t really matter if you build a BI tool or sell the best ice cream in the world. You just need to find something that floats your boat and that drives your motivation.

What would you advise the new-age entrepreneurs coming up in the industry?

I would advise them to have patience, a good plan, and, most importantly, a great loyal and dedicated team around you.

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datapine FAQs

What apps do datapine integrate with?

datapine integrates with various apps:

  • Amazon Aurora
  • Amazon RDS
  • Amazon Redshift
  • Amazon S3
  • CSV
  • Facebook Ads
  • Google Ads
  • Google Analytics
  • FTP Server
  • Google Cloud SQL
  • Google Spreadsheets
  • Heroku
  • Instagram
  • LinkedIn
  • Magento
  • MariaDB
  • Microsoft Azure
  • Microsoft Dynamics
  • Microsoft SQL Server
  • MySQL
  • Oracle
  • Percona
  • Pinterest
  • PosgreSQL
  • SAP Hana
  • Sugar CRM
  • Twitter
  • YouTube
  • Zendesk
  • Custom Connectors

What are the top 5 features for datapine?

The top 5 features for datapine are:

  • Performance Management
  • Project Management
  • Cash Management
  • Performance Metrics
  • Recruiting Management

What type of customer support is available from datapine?

The available support which datapine provides is:

  • Phone
  • Email
  • Live support
  • Tickets
  • Training
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