Datavail is a data engineering, cloud, and enterprise application services provider that designs, modernizes, and manages the data foundations and enterprise systems that power analytics, artificial intelligence (AI), and business-critical operations.
With over 15 years of experience, Datavail has earned a Net Promoter Score (NPS) of 78 and serves 500+ clients – many of whom have partnered with them for 7+ years – highlighting the company's high customer satisfaction and long-term value delivery.
These organizations have trusted Datavail to manage, optimize, and evolve their data ecosystems across on-premises, hybrid, and multi-cloud environments.
Datavail's services include:
• Data Engineering: Helping teams eliminate silos, improve data quality, and build scalable foundations for analytics and AI workloads, along with managing the data platforms that power these capabilities.
• AI/ML and Analytics: Offering strategic consulting, roadmap development, proof of concepts, and production implementation and management of AI, machine learning, and analytics solutions.
• Cloud: Providing cloud migration, modernization, optimization, and management solutions, including Site Reliability Engineering (SRE), to help organizations get more value from their cloud investments.
• Enterprise Applications: Modernizing and managing enterprise platforms that run the business, ensuring core systems remain secure, optimized, and aligned with modern data strategies.
• Strategic Advisory: Advising organizations on digital transformation readiness, data and integration strategy, executive vision alignment, and business/IT process improvement.
Datavail has deep partnerships with major cloud and technology providers, including AWS, Microsoft, Oracle, Google Cloud Platform (GCP), Databricks, and Snowflake. These relationships enable the company to help organizations choose the right solutions for their business needs and even help clients use vendor-funded programs to reduce costs and risk for new initiatives.
Datavail’s approach is specialist-led, outcome-driven, and partnership-focused – its experts embed with client teams using proven methodologies and automation to deliver measurable improvements in reliability, performance, and scalability, often within months.
Average Rating: 4.5/5.0
Total Reviews: 6
Who Is the Company Behind Datavail?
Who Uses This Product?
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Company Size: 50% Small, 33% Large
What Do G2 Reviewers Say About Datavail?
AI-generated summary from verified user reviews
Pros
- Users value Datavail’s database management expertise, effectively resolving complex data issues with personalized solutions.
- Users commend Datavail for their extensive database management knowledge and personalized solutions for complex data issues.
- Users commend Datavail for their expert problem-solving skills, effectively addressing complex database challenges with personalized support.
- Users value Datavail's attention to detail, effectively addressing complex issues with patience and expertise.
- Users value the attentive support of Datavail, which aids in resolving complex data system issues with patience.
Cons
- Users feel Datavail is expensive and suggest improvements in marketing and pricing strategies.
