Effective data operation is the key to success in today’s fast-evolving business landscape. With fast and accurate data analysis businesses are not only able to evaluate their progress or improve mistakes – they can create new effective strategies perfectly tailored to their specific aims, principles, and goals. Implementation of the modern data stack in 2025, opens new opportunities that have never been reachable before and fuels up business development.
Let’s delve deep into the data stack concept and the core prospects it can create for the growth of a company. Here, we’ll explore the following:
- Concept of the Data Stack
- 2025 Data Stack Architecture
- Benefits of Adopting Modern Data Stack
- 2025 Data Stack Tools
- Conclusion
Concept of the Data Stack
“Incorporating a modern data stack is a privilege that leaves competitors behind if they still rely on outdated tools. Such a step gives amazing growth opportunities to businesses of any size.”
Oleksandr Khirnyi, CPO at Skyvia
A modern data stack is a combination of various tools that provide data monitoring, analysis, storage, and reporting. Such a broad definition reflects that data stack functionality can differ from case to case as with the wide choice of solutions it can be adapted to any business needs, however, there are some common features that today’s data stack includes:
- Cloud-based, fast to install and maintain.
- Adjustable for any size of organization and number of team members.
- Compliable with tools and applications.
2025 Data Stack Architecture
Intuitive business management is no longer a working solution, as more and more institutions make accurate data-based decisions that allow them to be one step ahead of clients’ demands. The necessity of dealing with huge amounts of data would make competition too fierce for small organizations without effectively working options that are included in data stack architecture.
Commonly, modern data stack includes several layers:
- Data Ingestion
Information comes from several sources like client interactions, portable sensors, social media feedback, etc. – this helps to make a most objective evaluation of working processes.
- Data Storage
Any received information is stored for further use. Modern systems offer cloud-based storage for raw data and warehouses for processed information.
- Data Transformation
Once the data is processed, it needs to be sorted out, deleted, structured, stored for future use, etc.
- Data Visualization
The final stage is aimed at turning data into an understandable report that can influence business decisions and highlight new opportunities.
Most modern businesses rely on more advanced versions of data stack that give several extra options:
- Data Science provides fast access and valuable extracts of both structured and unstructured information.
- Reverse ETL ensures information flow to business tools and applications.
- Data Orchestration ensures fast data analysis when it comes from various sources.
Thus, the data stack is much wider than the basic gathering and storing of data, as it provides broad opportunities, including timely data management, analysis and technical tools integration.
Benefits of Adopting Modern Data Stack
“The modern data stack can become a backbone for businesses that allows transforming data into a powerful tool, ensuring fast growth and expansion.”
Natalia Polomkina, Product Marketing Manager at Skyvia
Implementing a modern data stack leads to extra spending and effort. Yet, let’s see what it can bring in return:
- Low Maintenance Costs
Being cloud-based and easy to use, the data stack requires minimum time and money for installation and maintenance. Additionally, data stack implementation makes companies less dependent on IT specialists, which appears like an ideal solution for smaller businesses.
- Scalability and Flexibility
With an impressive variety of tools and applications, the data stack can be customized for any business and can easily adapt to its expansion or changing demands.
- Democratized Access
Data stack can be used for different tasks across the company. User-friendly design makes reports available for all team-members and ensures more effective collaboration on different levels.
- Faster and More Accurate Data
Advanced analytics tools ensure real-time monitoring of business processes which is necessary for fast response to any challenges.
- Big Data Support
Data stack allows businesses to store and operate large volumes of data effectively.
2025 Data Stack Tools
Apps and tools help to break down the data stack functionality into more understandable and easy-to-manage parts. They can be combined differently, creating a unique data system that fits the company’s needs perfectly. The variety of such tools is impressive, yet most of them can be broken down into a few categories:
Data Ingestion
Tools like Skyvia or Fivetran ensure common access to the main data source for all company staff and partners. That simplifies collaboration and encourages common work on trending solutions.
Data Warehouse
Cloud data warehouse solutions like Azure or Snowflake, allow the storage of different types of information, including structured and non-structured data. Moreover, cloud hosting encourages the use of different tools and applications that are not available in traditional databases.
Data Transformation
Proper data analysis and reporting wouldn’t be possible without changes in its format and structure. ETL-tools like Improvado or dbt are commonly used to ensure advanced data operations.
Reverse ETL
The majority of data applications work with the information they receive via reverse etl-tools, provided by services like Skyvia or Census.
Data Orchestration
Tools like Prefect or Apache Airflow are needed for storing, sorting out, and orchestrating information received via different channels.
Business Intelligence
Google Data Studio or Tableau present data in a simple, understandable manner that makes it easy to use for non-technical specialists.
Data Science
Apache Spark or Project Jupiter offer automated data science services that not only analyze and report data but also make predictions and indicate opportunities for further growth of a company.
Create a Modern Data Stack in Half an Hour
Cloud-based data stack is easy to create and manage. With detailed guidelines, you can build a data stack in 30 minutes, focusing on these three steps:
Step 1: Pick Up a Cloud-Based Storage for Your Data
Cloud-based data warehouses provide lots of benefits, like easy maintenance, reliable data storage, and compatibility with hundreds of business tools.
Step 2: Consolidate Data from All Storages
Using a data pipeline management tool ensures fast data upload from different storages and applications, including CRM and marketing platforms.
Step 3: Analyze Data
Choose Business Intelligence tools for fast analysis of the available data. Modern tools and applications provide user-friendly intuitive dashboards that are easy to operate by non-technical team members.
Conclusion
Business success is becoming more dependent on effective data analysis and management. Modern data stack opens new opportunities to collect, store and structure information of different sorts, increasing speed and accuracy of data proceeding. New cloud-based warehouses reduce operative costs and provide various tools useful for all team members. With all these advantages, data stack becomes one of the top business solutions in 2025.