Technical Resources

Guiding Your Way to Tools and Techniques

Discover essential resources curated to boost your expertise in data analysis and management. These are in general public or third party resources, and the links are provided for your convenience.

Three large jars with a mix of fruits

Database Engines and Tools for Transforming and Loading

The level of data analytics that makes it all work: the structured and optimized storage and retrieval.

Laptop on a table, with a data dashboard on the screen and a coffee cup in the background

Tools for Analysis, Process Management, and Visualization

Everything that helps bring you from raw data to actionable insights.

Different tools lying on a table

All-in-One Data Analytical Platforms

Cloud-based platforms with a broad set of features, potentially all that you need for your data analytics.

Technologies Related to Data Analytics

A mixed group of technologies that will also be touched by many data analysts โ€“ because their role often includes various topics like establishing infrastructure, moving data, programming, and utilizing AI, next to the actual analytics.

Data center and source code

Database Engines and Tools for Transforming and Loading

This section provides an overview of different tools and products that can be at assistance when loading, storing, maintaining, and transforming data, as well as simple querying, analysis, and reporting, to know and understand the data. The basis of your data analytics approach, but also useful for other data related activities.

The links have been sorted after the country of the currently controlling owner of the software, or of the operator of a cloud-based service, as this has increasing importance in the prevailing geopolitical and data protection reality. Open Source is considered neutral.

Please be aware that open source isn’t necessarily without payment, and commercial software isn’t necessarily with payment. Check each product for different editions and prices, before deciding what to use.

Database Engines

A curated list of both relational, NoSQL, and other types of database engines / table formats.


  • Apache Cassandra
    NoSQL database
  • Apache CouchDB
    NoSQL database
  • Apache Doris
    OLAP database for real-time analytics and search
  • Apache Druid
    OLAP database for real-time, event-based analytics, with SQL support
  • Apache Hadoop
    Framework for distributed processing of big data (i.e., not a database engine) to be used with code libraries like MapReduce or such engines like Spark or Trino
  • Apache Iceberg
    Data table format (i.e., not a database engine) for big data and lakehouses, to be used with such engines like Spark or Trino
  • ClickHouse
    OLAP MPP database with SQL support
  • DuckDB
    OLAP database with SQL support (embedded)
  • Firebird
    Relational database
  • MariaDB
    Relational database
  • Neo4j Graph Database
    NoSQL database
  • PostgreSQL
    Object-relational database
  • SQLite
    Relational database as a C library (embedded)
  • Tinybird
    Cloud-based, managed ClickHouse database
  • Coming soon

Extract, Transform, Load

Tools for actually putting data into the database storage in the shape needed.


  • Airbyte Core
    Data integration, ELT
  • Apache Airflow
    Workflow management platform for data engineering flows
  • Apache Hop
    Workflow management platform to facilitate all aspects of data and metadata orchestration
  • Apache Kafka
    Streaming / messaging system for data flows between applications, or to and from databases
  • dbt Core
    Data build tool, for data warehouse data transformation and building semantic models
  • Delta Lake
    Storage framework for building a format agnostic lakehouse architecture
  • OpenRefine
    Tool for cleaning and transforming data
  • DBConvert
    Database conversion and synchronization software

Query, Analyse, Report

Where the analyst turns the raw data into extracts, sums, and calculations.


  • Count
    Collaborative analytics platform
  • SAP Crystal Reports
    SQL reports with both tabular data, visuals, and text, in screen and pdf editions

Tools for Analysis, Process Management, and Visualization

The front-end activities of data analytics spread over a broad palette of programming, preparing, and visualizing, and there are tools for all of this, and more. Often, these tools will also provide for analysis and some level of data management.

The links have been sorted after the origin of the software, as this has increasing importance in the current geopolitical reality. Open source is considered neutral.

Please be aware that open source isn’t necessarily without payment, and commercial software isn’t necessarily with payment. Check each product for different editions and prices, before deciding what to use.

Programming and Scripting

For typing your way to insights, or simply for organizing the process, or the final results into useful overviews or workbooks.


  • Bash
    Command line and scripting; text and file manipulation.
    Part of Linux, on Mac as Terminal, and part of several packages for Windows:
  • Git
    Version control for source code and other files
  • GNU Octave
    Programming language, focused on mathematics and visualization
  • Julia
    Programming language
  • JupyterLab and Jupyter Notebook
    IDEs for several languages, including R, Python, and Julia
  • Python
    Programming language
  • R
    Programming language, focused on statistics and visualization
  • RStudio
    IDE for R and Python
  • Visual Studio Code
    Versatile editor and IDE with support for many languages and puposes
  • Coming soon

Integrated and Process Tools

For arranging a flow of activities in one environment. This may include various types of tools, supporting various tasks.


  • DAX Studio
    DAX editor and dataset analyzer as a companion to Power BI, SQL Server, and Excel
  • Grafana
    Multi-platform analytics and interactive visualization web application
  • Knime Analytics Platform
    Automated data access, transformation, visualization, and distribution platform
  • Tabular Editor 2.x
    Build, optimize, and debug data models / semantic models for Microsoft Analysis Services, Power BI Premium and Fabric โ€“ open source version
  • Tabular Editor
    Build, optimize, and debug data models / semantic models for Microsoft Analysis Services, Power BI Premium and Fabric
  • Coming soon

Visualization Tools

Tools with the main focus on calculating and displaying ready results, as reports or dashboards, possibly with storytelling.


  • Apache Superset
    SQL-based visualization
  • Matomo
    Web and app analytics, renamed from Piwik
  • Metabase
    End user natural language query and visualization
  • Plausible
    Web analytics
  • Redash
    Visualization and dashboard distribution
  • SigNoz, various apps
    Cloud app metrics monitoring and visualization

All-in-One Analytical Platforms

These are all cloud-based and provide ways to store, transform, and analyze date. Some organizations may want to choose to use one of these instead of arranging for an individually chosen set of tools.

They are all commercial โ€“ even if there may be open source products included, these are sold as some level of managed service.

All-in-One


  • SAP Business Data Cloud
    Data lakehouse, data warehouse, transformation and flow tools, analytics, planning and financial simulation
  • SAS Viya
    Cloud-native, end-to-end data and AI platform with transformation, flow tool, semantic modeling, but no data storage of its own โ€“ can be added as SAS SpeedyStore
  • Snowflake Platform
    OLAP MPP database, cloud-based environment with analysis and other tools, but mainly a data warehouse and ETL
  • Teradata VantageCloud
    Databases, data lake, transformation and flow tools, and analytics