Insights

The best data management outsourcing companies in 2026

The best data management outsourcing companies in 2026

October 16, 2025 9 min read

Veritas in numeris — truth lives in the numbers. This saying harmonizes perfectly with the importance of data quality, which is only granted by efficient data management solutions. By 2033, the enterprise data management (EDM) market is projected to generate USD 281.9 billion, up from USD 97.5 billion in 2023. These numbers demonstrate that unstructured data is “no longer in vogue”, putting the search for the right data management expertise at the top of the agenda.

Key takeaways

  • The market for enterprise data management (EDM) is expected to grow from USD 97.5 billion in 2023 to USD 281.9 billion by 2033.
  • Avenga, Yalantis, Netguru, Sigma Software, ITRex Group, and other big data management companies deliver comprehensive services and demonstrate a proven track record of professionalism across the data market.
  • A suitable cooperation model can be one of the most critical factors when searching for a partner for your specific business needs.

 

The top data management outsourcing companies in 2026

These top data management companies know how to turn numbers into know-how—and know-how into outcomes.

Avenga

Avenga is a reliable data management partner for organizations looking to use data to inform decisions, not just store data. We offer one of the most flexible data management outsourcing solutions, delivering strategy, engineering, and managed services to help you achieve value quickly and stay compliant at scale.

What we deliver (core services):

  • Data strategy and governance
  • Data platforms
  • Insights and advanced analytics
  • Technology consulting, engineering, and maintenance

Avenga meets you where you are, delivering hands-on data expertise and accelerators that work. We sift through integrations across existing stacks, SaaS apps, and real-time solutions. Then, we provide long-term pipelines (with SLAs) to deliver productivity and efficiency to everyday work. Next, we digitize and fully automate workflows, offering self-service and governed access to make communication easier and seamless. We always keep a close eye on your data governance and security from the very beginning to ensure you’re always covered.

We develop and operate AI-ready platforms and environments that enable the operationalization of models in a safe and scalable manner, utilizing tools such as TensorFlow, AWS SageMaker, and Microsoft Azure AI. We manage data to prepare it for AI by improving quality, enforcing consistency, and building datasets that feed cleanly into ML and automation — where we transition data management from a service to a measurable business advantage.

Regardless of whether you are outsourcing data management for speed, as a risk management strategy, or while scaling your organization, Avenga aligns architecture, governance, and analytics to empower your team to act on trusted alignments — every day.

Build a resilient digital foundation with Avenga’s data platforms development services.

Learn more

Yalantis

Established in 2008, Yalantis combines operational engineering skills with valuable data management services. Among the most trusted database management service providers, Yalantis designs data architectures, curates metadata, enhances security, and integrates data governance into cloud-based pipelines. They also guarantee fine-tuning of the data architecture after deployment, not just a hand-off. Their teams have performed big data and BI work in healthcare, logistics, and finance. Some notable clients are X (Google’s moonshot factory), Home Connect for BSH, Toyota Tsusho, and KPMG.

Netguru

Founded in 2008, Netguru fuses product engineering with practical data solutions. With offices in Poland, Germany, and the UK, they work with fintech, retail, healthcare, and educational clients to utilize data to enhance their performance – building the right platform, pipelines, and ultimately, dashboards. Their services include data applications consulting, data engineering (collection and consolidation), BI and visualization, forecasting, and simulations. Clients like Żabka, Volkswagen, and OLX trust Netguru.

Sigma Software

With over 20 years of industry expertise and more than 1,500 experts, Sigma Software delivers data-driven efforts that are both feasible and enterprise-ready. Sigma Software was established in Ukraine and has offices in Poland, Sweden, and the US. It focuses on data security while designing and implementing data platforms for reporting, visualization, BI, predictive analytics, and data warehouses and lakes.  Their teams work with clients such as Siemens, Volvo, and Scandinavian Airlines to build solutions for various industries, including media, finance, real estate, and aviation.

ITRex Group

ITRex Group was founded in 2009 and offers enterprise-level integration, software development, and data management solutions. Its offices are located in the US, Poland, and Ukraine.  ITRex’s specialized architects and data scientists use their advanced technical knowledge and specialized business expertise to ensure the quality, security, value, and availability of their customers. This is based on the completion of more than 500 projects in e-learning, healthcare, logistics, retail, and e-commerce.  P&G, Universal Electronics, Dollar Shave Club, and other well-known businesses are among its clients.

Delaplex

US-based Delaplex integrates product engineering capabilities with Smart Data Analytics. Delaplex helps clients modernize data infrastructure and operationalize AI/ML across cloud environments. Service offerings encompass data science, QA, transformation, and staff augmentation — delivered with measurable outcomes. Trusted by internationally recognized brands such as GPM Investments/ARKO Corp and ADP TotalSource, Delaplex delivers enterprise-grade, modern, business-aligned data solutions.

Software Mind

Software Mind is a CEE market leader with over 20 years of experience in the industry. Approximately 10% of engineering is focused on Big Data, encompassing SAP, DB2, MSSQL, Hadoop, and Apache Spark, to build AI-ready pipelines and efficient data operations. Their data services include setting up or modernizing data streams, preparing existing streams for AI, providing data engineering teams, migrating on-premises streams to the cloud, and delivering business intelligence insights. As one of the top data management platform companies, they are trusted by prominent clients such as Dell, T-Mobile, GemOne, Callcredit, and CoreLogic. 

DevsData

DevsData LLC has evolved from 8 years of work to become a trusted partner in engineering, data science, and ML/AI, standing up reliable management systems for organizations that lead with data science and data-driven decision-making. Their focus is dependable data management services and solutions — assuring integrity, availability, security, and compliance across analytics pipelines. Services include advanced analytics, platform build-outs, and governance, creating scalable, all-encompassing data foundations. Companies like Samsung, BCG, and Sysco trust DevsData to work through complex, disorganized datasets into decipherable, auditable insights that lead to measurable action.

Sedin Technologies

Based in Singapore, Sedin Technologies is one of the recognized data experts in Asia, having delivered over 700 software projects across various industries, including education, manufacturing, retail, and e-commerce. Sedin makes data manageable for small, medium-sized, and mid-market teams, covering data consulting, engineering, science, visualization, and data governance/wrangling. Their analytics/BI work provides a comprehensive data foundation with robust security practices to protect sensitive data end-to-end. At the same time, cloud and IoT capabilities ensure robust and scalable data pipelines. In addition to data engineering, Sedin supports agile software development, as well as Salesforce and automation capabilities for e-commerce websites. Some of their notable clients have included L&T (Indian Global Giant) and Garrett Motion.

HengTian

With over 20 years of experience in the global landscape, HengTian places an emphasis on data-heavy projects in the finance, e-commerce, and manufacturing sectors. Their teams design and build scalable data platforms while improving data quality. Plus, the data management services provider ensures secure and high-volume processing that meets the demands of many industries. In addition to building the architecture of the data platforms, this vendor embeds governance and observability to ensure pipelines remain trustworthy under high-capacity loads. Brands such as Nike, Honda, and Alibaba trust this vendor to convert fragmented sources into clean, digestible insight.

How to choose the right partner

Data management process demands, among other things, deep industry expertise and robust data security protocols. Here’s a short yet helpful list of criteria you can use to ensure your data is in good hands.

  • Begin with working backwards from the outcomes. Understand the decisions you want to improve and the risks you want to mitigate; find partners who will align with a clear delivery plan.
  • Evaluate governance maturity. Find policies, lineage, access controls, and audited security to indicate real data governance (not just slogans).
  • Validate the architecture in action/design. Request diagrams, reference implementations, and workspace for what they’re doing when building pipelines.
  • Favor pragmatic platform skills. Platform neutrality is excellent, but being able to work with your stack is vital (e.g., AWS, Azure/GCP, lakehouse, MDM, catalog).
  • Dive into SLAs and KPIs. Uptime, incident response, data quality (freshness, completeness, accuracy), and cost/FinOps are visible.
  • Evaluate the collaboration model. Understand how their data experts integrate with your team, including handoffs, documentation, and continuity when team members leave.
  • Confirm compliance readiness. Privacy-by-design, residency controls, and audit trails that meet your regulatory standards.
  • Evaluate their AI readiness. Semantic layers, feature stores, and model governance to enable today’s data management service to service the analytics of tomorrow.
  • Request evidence. Evidence of working examples, measurable impact, and references in your space—if they can’t do this, continue looking.
CriterionWhat good looks likeQuick checks
Governance and securityClear policies, lineage, role-based access, and audited controlsSample policy + lineage demo; SOC2/ISO certs
Architecture and integrationScalable cloud/lakehouse; connectors for legacy, SaaS, streamingReference diagram; connector list
Data quality and SLAsFreshness, completeness, accuracy with defined KPIs, and uptimeDQ dashboard; SLA sheet; incident playbook
Talent and deliveryNamed leads, continuity plan, clear RACI, and documentationTeam bios; onboarding/offboarding plan
Analytics and AI readinessSemantic layer, feature store, model governance & monitoringBI + MLOps demo; drift/traceability evidence
References and costProven impact in your industry; transparent pricing & FinOps2–3 reference calls; rate card/TCO model
Table 1. Data management partner checklist

FAQ

The partner you’re planning to collaborate with must have a record for execution, strong data governance, clearly documented security and assurances, strong expertise in cloud/platform, and precise SLAs.
Consider utilizing external services or partners for data operations, data cataloging and lineage, data quality/observability, and ingestion pipelines (i.e., datasets or streams) to optimize the benefits of outsourcing.
Make use of Infrastructure as Code (IaC), shared repositories, open standards, and copious documentation. Add specifications for portability by default, exit contracts, and knowledge transfers.
Monitor the system’s adoption, Mean Time to Repair (MTTR) results, accuracy, completeness, freshness, and uptime. You can assist in preserving value by using approaches that connect continuous improvement to a business result (such as quicker analytics or lower risk/cost).

Building a durable data advantage with the right partner

It can be challenging to find a trustworthy partner for data management, and knowing where to start and what to consider can significantly assist you. Learn more about comprehensive data management from a trusted data services company.

Contact Avenga today for a detailed consultation.