Top Apache Spark Companies
4 agencies foundUpdated May 2026
5.0
6 reviews
Gdańsk, PL
We're an AI company that helps organizations implement intelligent automation and modern data infrastructure. Founded in 2015 with roots in healthcare innovation, we've completed 70+ projects across education, healthcare, retail, fintech, and more. Every project begins with thorough validation and planning to establish clear business KPIs before development starts. This approach minimizes implementation risk, maximizes ROI, and has enabled successful AI adoption for organizations ranging from global universities and enterprise clients to growing startups. Our technical expertise spans AI automation (virtual assistants, document processing, conversational AI), machine learning (NLP, computer vision, generative AI), and cloud data engineering (data warehouse migrations, lakehouse implementations, real-time analytics). We offer fixed-price projects, dedicated teams, workshops, and ongoing support—engaging with clients at any stage from validating AI feasibility to scaling existing implementations.
Artificial IntelligenceCustom Software DevelopmentData Science & AnalyticsDevOps & InfrastructureAccounting & TaxMusic & AudioMedical DevicesClient FavoriteTop RatedGlobal Reach
$40 - $250/hrMin. $10,000
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$40 - $250/hrMin. $10,000
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Adastra
VerifiedAI first. Data, analytics and cloud, always. Adastra helps organizations lead with AI — responsibly, strategically, and at scale.
5.0(76)
5.0
76 reviews
Toronto, CA
Adastra builds intelligent, future-ready solutions on solid foundations: strategy, governance, and deep technical expertise. From vision to execution, it guides clients through every phase of their AI journey, delivering trusted results that last. Adastra is a leading provider of Cloud Migration and Cloud Consulting services, specializing in modernizing IT infrastructure and data analytics. For over 25 years, it has empowered global enterprises to unlock business value through data-driven innovation, operational excellence, and smarter customer engagement. Adastra is an AWS Premier Tier Services Partner recognized by AWS as their Data and Analytics Consulting Partner of the Year (Global) and Innovation Partner of the Year (EMEA) in the 2024 awards. Adastra is a Microsoft Advanced Specialization Partner in Data & AI, Infrastructure and Digital & App Innovation. We are proud to have won the Azure Data & AI 2024 Microsoft Americas Partner of the Year Award. Adastra is a recognized Google Cloud Professional Service and Sell Partner specialized in Cloud Migration and Data Analytics. Adastra achieved Elite Partner Status with Databricks in 2025 reinforcing our dedication to driving innovation and excellence in data analytics and lakehouse technology.
“Partners like Adastra establish the plumbing that make AI solutions enterprise-ready. They help with data foundations, governance, and security, and then support rollout and scale from pilots to pr...”
— Global CPG Partner Lead, AWS
Artificial IntelligenceStrategic ConsultingCloud ServicesSustainability ConsultingGovernment & Public SectorInsurancePayments & ProcessingVerified EliteMost ViewedGlobal Reach
$100 - $500/hrMin. $20,000
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$100 - $500/hrMin. $20,000
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Frequently Asked Questions About Apache Spark
What is Apache Spark?
Apache Spark is an open-source distributed computing platform designed for fast processing of large datasets across clusters of computers. It provides unified analytics capabilities for batch processing, real-time streaming, machine learning, and graph processing, making it a comprehensive solution for big data workloads.
How much does Apache Spark implementation cost?
Apache Spark project costs typically range from $50,000 to $500,000+ depending on cluster size, data complexity, and custom development requirements. Factors include infrastructure setup, data pipeline development, performance optimization, and ongoing support needs for your analytics platform.
What should I look for in an Apache Spark provider?
Look for providers with proven expertise in distributed computing, experience with your data volume and industry requirements, and a track record of successful Spark implementations. The best agencies offer comprehensive services from architecture design to performance tuning and provide real-time monitoring capabilities.
