Data stack integration services that eliminate tool sprawl and API compatibility

Connect Snowflake, dbt, Fivetran, Kafka, and 200+ enterprise tools with unified APIs, automated schema drift handling, and a fault-tolerant integration architecture that scales without breaking existing workflows.

Our engineering team builds unified integration platforms that handle version conflicts, automate dependency management, and create resilient connections between your entire data ecosystem.

Leaders trusting our AI solutions:

200+

Enterprise tools connected through unified integration platform

10x

Faster integration deployment vs traditional point-to-point approaches

90%

Reduction in tool sprawl through consolidated integration platform

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Data tool sprawl is draining your budget: Here’s how to fix it

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Challenges Xenoss eliminates with data stack integration services

Tool sprawl creating fragmented data ecosystems

Modern enterprises use 200+ software tools across departments – Salesforce, Snowflake, dbt, Fivetran, Tableau, Slack, and hundreds more. Each tool operates in isolation, creating data silos where teams can’t access information from other systems, leading to inconsistent metrics and duplicated efforts across the organization.

API versioning conflicts breaking integration workflows

When vendors update APIs, existing integrations fail without warning. Fivetran connectors break when source systems change schemas, dbt models fail when warehouse APIs update, and custom integrations require constant maintenance to handle version conflicts and breaking changes.

Schema drift causing downstream transformation failures

Source systems frequently add, remove, or modify data fields without notice. These schema changes cascade through pipelines, breaking dbt transformations, corrupting data warehouse tables, and causing analytics dashboards to display incorrect or missing information.

Point-to-point integration maintenance consuming 70% of engineering time

Teams build individual connections between each pair of tools, creating a web of fragile integrations. Maintaining hundreds of point-to-point APIs, handling authentication renewals, and troubleshooting connection failures prevents engineers from focusing on business logic and innovation

Data synchronization delays preventing real-time decision making

Batch processing creates hours or days of latency between data generation and availability. Critical business processes like fraud detection, inventory management, and customer personalization require sub-second data updates that traditional integration approaches can’t deliver.

Inconsistent data formats across integrated systems

Different tools use incompatible data formats, field naming conventions, and timestamp standards. Teams spend weeks transforming data formats, mapping fields, and reconciling differences between systems before any analysis can begin, slowing time-to-insight dramatically.

Authentication and security management across hundreds of APIs

Each integration requires separate authentication credentials, security tokens, and access permissions. Managing OAuth flows, API keys, and security policies across hundreds of tools creates operational overhead and security vulnerabilities that scale with tool adoption.

Lack of integration observability and error handling

When integrations fail, teams have no visibility into root causes or automatic recovery mechanisms. Silent failures corrupt data without detection, while noisy alerts overwhelm operations teams with false positives, making it impossible to maintain reliable data flows at enterprise scale.

Build enterprise data stack integration solutions from scratch or enhance your existing systems

What we engineer for enterprise use cases

Unified integration platform with intelligent API management

Custom integration hub that connects 200+ enterprise tools through standardized APIs with automatic version management, schema evolution handling, and conflict resolution. Eliminate point-to-point integrations while maintaining backward compatibility and real-time synchronization across your entire data stack.

Automated schema drift detection and adaptation systems

Intelligent monitoring that tracks schema changes across Snowflake, dbt, Fivetran, and connected systems. Automatically adapt transformations, update downstream dependencies, and maintain data lineage when source systems modify fields, preventing integration failures before they occur.

Enterprise-grade authentication and security orchestration

Centralized credential management for hundreds of API connections with automated token renewal, OAuth flow handling, and role-based access controls. Implement enterprise security policies across all integrations while simplifying authentication complexity for development teams.

Real-time data synchronization with event-driven architecture

Event streaming infrastructure that maintains sub-50ms synchronization between integrated systems. Build webhook listeners, message queues, and real-time notification systems that propagate changes instantly across tools while maintaining data consistency and ordering guarantees.

Integration observability and automated error recovery

Comprehensive monitoring dashboards with distributed tracing, performance metrics, and intelligent alerting for all data stack connections. Implement automatic retry logic, circuit breakers, and failover mechanisms that resolve integration issues without manual intervention.

Custom connector development for legacy and proprietary systems

Build specialized integrations for mainframe systems, custom databases, and proprietary APIs that standard tools can’t handle. Create resilient connectors with rate limiting, error handling, and data transformation capabilities for unique enterprise requirements.

Data format standardization and transformation engines

Intelligent data mapping and transformation systems that normalize formats across integrated tools. Handle timestamp conversions, field mapping, data type reconciliation, and custom business logic while maintaining audit trails for compliance and troubleshooting.

Multi-environment deployment and configuration management

Infrastructure-as-Code systems for deploying integrations across development, staging, and production environments. Implement blue-green deployments, automated testing, and configuration drift detection to ensure consistent integration behavior across all environments.

How to start

Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks

Challenge briefing

2 hours

Tech assessment

2-3 days

Discovery phase

1 week

Proof of concept

8-12 weeks

MVP in production

2-3 months

Connect 200+ enterprise tools without API versioning difficulties or schema drift failures.

Built by engineers who’ve integrated Fortune 500 data ecosystems.

Tech stack for data stack integration

Why Xenoss is trusted to build enterprise-grade data stack integration solutions

We solve the complex integration challenges that prevent enterprises from unifying their modern data stack tools effectively.

Eliminated tool sprawl and API versioning difficulties

Connected Snowflake, dbt, Fivetran, Salesforce, and hundreds of enterprise applications through standardized integration platforms for Fortune 500 companies. Our unified architecture eliminates point-to-point maintenance overhead while ensuring 99.9% API compatibility across version updates and schema changes.

Mastered schema drift handling and automated adaptation systems

Built proprietary schema evolution engines that automatically detect changes across integrated systems and adapt transformations in real-time. Our drift detection prevents the cascade failures that break dbt models and corrupt data warehouse tables when source systems update without notice.

Eliminated integration maintenance overhead through automated workflows

Developed self-healing integration systems with automatic retry logic, circuit breakers, and failover mechanisms that resolve API conflicts without human intervention. Our automation frameworks handle authentication renewals, error recovery, and dependency management across hundreds of connected tools.

Built enterprise-grade security orchestration for hundreds of API connections

Implemented unified authentication systems that handle OAuth flows, token renewals, and role-based access controls across integrated tools. Our security frameworks include audit logging, encryption, and compliance reporting automation for regulated industries.

Developed custom connectors for legacy and proprietary enterprise systems

Created specialized integration adapters for legacy mainframe systems, proprietary databases, and custom APIs that Fivetran and other vendors don’t support. Our connectors include rate limiting, error handling, and data transformation capabilities for unique enterprise requirements.

Implemented comprehensive observability and integration health monitoring

Built distributed tracing systems that monitor integration performance, detect bottlenecks, and provide complete lineage tracking across connected tools. Our observability platforms include intelligent alerting, performance metrics, and automated diagnosis for proactive issue resolution.

Established enterprise deployment automation with zero-downtime updates

Created blue-green deployment systems for integration updates that maintain service availability during changes. Our DevOps automation includes configuration drift detection, automated testing, and environment consistency management for enterprise-grade reliability.

Event-driven architecture that maintains data consistency at enterprise scale

Engineered custom event streaming platforms using Kafka and webhooks that propagate changes instantly across integrated systems. Our real-time synchronization maintains ordering guarantees and exactly-once processing semantics for financial and regulatory workloads.

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Unify your data stack with integration architecture that eliminates tool sprawl

Talk to our engineers about building unified integration platforms with automated conflict resolution, real-time event streaming, comprehensive observability, and enterprise security orchestration that scales seamlessly across hundreds of connected tools.

Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.

Oli Marlow Thomas,

CEO and founder, AdLib

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Data stack integration services that eliminate tool sprawl and API compatibility

Challenges Xenoss eliminates with data stack integration services

Build enterprise data stack integration solutions from scratch or enhance your existing systems

Unified integration platform with intelligent API management

Automated schema drift detection and adaptation systems

Enterprise-grade authentication and security orchestration

Real-time data synchronization with event-driven architecture

Integration observability and automated error recovery

Custom connector development for legacy and proprietary systems

Data format standardization and transformation engines

Multi-environment deployment and configuration management

Tech stack for data stack integration

Mastered schema drift handling and automated adaptation systems

Eliminated integration maintenance overhead through automated workflows

Built enterprise-grade security orchestration for hundreds of API connections

Developed custom connectors for legacy and proprietary enterprise systems

Implemented comprehensive observability and integration health monitoring

Established enterprise deployment automation with zero-downtime updates

Event-driven architecture that maintains data consistency at enterprise scale

Multi-agent extendable hyperautomation platform for enterprise accounting automation

ML-based virtual flow meter

Implementing a proprietary SDK with a lightweight tracker for a new generation mediation platform

Developing a gaming advertising platform with 1.4B monthly video impressions

Building performance-oriented mobile DSP with innovative user behavior prediction mechanism

Fast rollout of AI-powered creative management platform used by Nestlé, Adidas & Uber

Building a video-on-demand platform with 1.1M monthly users for a leading content distributor in Europe

Reducing infrastructure costs by 20 times for a programmatic ad marketplace with 1B audience reach

Multifunctional Customer Data Platform (CDP)

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