Solutions

Integrations for data exchange between IT systems

We design data exchange between systems using ESB, ETL, and DWH so integrations are manageable and scalable.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
+10clients · View cases →

Integrations

Change one system without rewriting the rest

The integration layer cures four ailments of rigid data exchange: data loss, cascading rework, source overload and inconsistency. ESB, Kafka and n8n solve different problems.

50flows in 6 months — a speed benchmark for an ESB project
48flows in production with a target loosely coupled architecture
16xfaster launch of standard integrations compared to code

ESB

Routing, transformation, guaranteed delivery and low-code support of legacy exchanges.

Kafka

Durable log: an event is stored, re-read, multiple consumers read at their own pace.

n8n

Fast orchestration of a process and AI steps where heavy event streaming isn't needed.

sourcedata contractESB/Kafka/n8nmonitoringconsumers
200+1C:Retail systems connected through a single API in one of the projects
48exchange flows launched on the ESB for a manufacturing enterprise
1–2 monthstypical project timeline under the risk-free model
>100 messages/minthroughput of a high-load flow without scaling the source

What we connect into a single IT ecosystem

Point-to-point exchange versus a data bus

Point-to-point exchange

  • When one system fails, data is lost: the source treats the message as delivered while the receiver never accepted it.
  • The source delivers data as is, and each consumer transforms it into its own format, so any change in the source triggers a cascade of edits.
  • Consumers duplicate requests to the source system and overload it; usually it is an old monolithic system.
  • API inside the source system: its downtime blocks all consumers at once.

ESB and storage

  • If the connection drops, the message is treated as unprocessed and delivered on the next pass.
  • A change to the ERP or another system affects only the source-to-warehouse connectors; nothing changes for the consumers.
  • Consumers query the repository, reducing the load on the source without system changes or additional resources.
  • API connectors are moved into a separate service: they run independently of the source and handle high load.

Four data-exchange tasks our approach solves

We eliminate data loss during exchange

With point-to-point exchange, data can be lost when one system fails: one system treats the message as delivered while the other never received it. We set up integrations so that if the connection drops, the message is treated as unprocessed and is delivered on the next pass.

We swap IT systems without touching the rest

In the old approach, any change in the source triggers a cascade of edits across all related flows. With us, a change in ERP or any other system affects only the source-to-storage connectors; for all consumers, everything stays unchanged.

We cut the load without rework or extra resources

Different systems need the same data, and consumers duplicate requests to the source, raising the load. Consumers query the storage instead, so load on the main source drops without reworking the system or adding resources.

API as a separate service

To connect many similar consumers, such as retail outlets, the API is often built inside the system, and its downtime becomes a problem for everyone. We build API connectors as a separate service rather than inside the application, so they work independently of the source and handle high load.

How exchange works via ESB and the warehouse

Sources → warehouse → consumers

Source systems

ERP / 1Cmaster data
CRMclients, deals
Marketplaces and websitesorders, products

Data bus (ESB) + storage

Source-to-warehouse connectorsindependent microservices
DWH / Data Lakeshared structured storage
Monitoring and loggingcontrol over every flow

Consumers

Retail and servicesvia API connectors
BI / analyticsreports from ready-made data
ESB components are independent of one another and can run on different servers in different locations. An exchange failure in any one system affects only that system — everything else keeps working.

Proven with 1C: any transformation logic is possible

With a ready data store, BI adoption becomes easier

By implementing ESB, we create a shared structured enterprise data repository: a Data Warehouse (DWH). Any analytics or reporting system can be connected to such a repository with ease because all data is already prepared. We design the repository architecture so that generating reports from large volumes of data does not reduce the speed of daily data exchange.

The monitoring system tracks every flow

  1. We log the key stages of each flow.

  2. If an error occurs that needs attention, you get a Telegram message describing the error with a link to the details.

  3. You respond to incidents proactively, not after users report them.

  4. The support operator knows exactly where and what went off script, which helps resolve the incident faster.

  5. We deploy a monitoring system from scratch or set up monitoring in your existing infrastructure.

Map out your integration landscape

A typical workflow

  1. 01

    Designing a loosely coupled architecture

    We analyze the current IT architecture (AS-IS), work through data exchanges for key entities, design the TO-BE architecture, and prepare a transition roadmap, tool recommendations and documentation. You get a transition plan tailored to your business.

  2. 02

    Migrating the most critical flows

    BPMN process diagrams, deployment and setup of components (ETL, storage, logging, monitoring), connector setup, log collection, documentation and training. This solves 80% of data-exchange problems between systems.

  3. 03

    Migrating the remaining flows to populate the storage

    BPMN process diagrams, connector setup, log and monitoring collection, documentation and training. You get a single enterprise-wide exchange mechanism and complete data for analytics.

We select proven open-source products

We use open-source solutions, so clients cut licensing costs with no risk of restrictions under different countries' laws. If you have preferences, we can also work with other products, including paid-license ones.

Tooling stack for data exchange

ETL

Talend (ETL)

Graphical low-code studio for building connectors, part of Salesforce. We use the Community Edition.

DevOps

GitLab

Open-source web tool for the DevOps lifecycle: version control and access rights (role) management.

Database

PostgreSQL

An open-source object-relational DBMS for data storage, under active development for more than 35 years.

Logs

Elastic Stack

Log storage, analysis, and search on the Elasticsearch platform for enterprise security and observability.

Monitoring

Grafana

Dashboards on flow status: out-of-the-box data visualization and analysis across a wide range of sources.

Stack

Choice of brokers and BI

ActiveMQ, RabbitMQ, Kafka; ETL - Ballerina, Nifi, Datareon, WSO2, MuleSoft; databases - MongoDB, Hadoop, Arenadata; BI - Yandex DataLens, Redash, Google Data Studio, Microsoft Power BI.

Material

Integration types comparison table

We assessed how three popular integration types affect IT landscape quality and compiled the result into a compact comparison table. Submit a request and get the file for free.

  • three integration types in one comparison
  • impact on IT landscape quality
  • free on request
Get the comparison table

Cases

Integration and ESB case studies

Read all

Testimonials

Client feedback on integration projects

All reviews

The KT.Team team is a mature development partner. The delivery process is very clearly organized, and the smooth collaboration within the engineering team deserves special mention. When the team sees that the development process needs fine-tuning, it does it. During discussions, the team digs into the essence of the tasks and seeks to understand the business context. The work is aimed not at formally fulfilling the specification but at solving the real problem. Thanks to strong engineering expertise and product thinking, the team can be trusted not only with implementation but also with the architecture of the entire system.

Digital Systems and API Integration Vadim MizhenskyHead of Digital Product Development, FSK Group

The Muztorg group of companies has been working successfully with the KT.Team team for more than two years. The high professionalism of our partners helps us a great deal, as does their ability to combine well-structured project management with minimal formal constraints. I would especially like to note the friendliness and openness of the KT.Team staff.

Digital Systems and API Integration Dmitry SavelievBoard Advisor on Digital Development, Muztorg

You set a high standard for working with contractors. After you, dealing with others leaves a feeling of falling short of expectations.

Digital Systems and API Integration Dmitry StolbovCEO, MechTech Ecosystem

We have been working with kt.team for more than a year, and in that time we have come a long way — from quickly launching a small website to an introductory catalog and several integrations. The team responded promptly to our requests and additions to the specification; together we tested several hypotheses and chose the ones that worked best. None of this prevented us from jointly creating a project with a modern design and functionality convenient both for users and for Maxxium employees.

Andrey IvanovHead of Digital Transformation Department, Maxxium

We came to KT.Team with a request to set up a platform to easily connect clients, carriers and WMS in FM Logistic France. The result was successively achieved, and by now we have onboarded a big client on the new platform — it's a great result! I'd like to especially note very good reactivity and professionalism of the project managers, devs and ops who always help us.

Eric DuboilleDirecteur Expertise E-Commerce, FM France SAS, FM Logistic

You know our business better than we do!

Digital Systems and API Integration Maxim ManhaevFounder, Taxi 369

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