Snowflake aids enterprise AI readiness, says ISG report

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Radhika SScanX News Team
Key Highlights

The 2026 ISG Provider Lens report details Snowflake's expanding role in enterprise AI readiness and data modernization. It highlights how organizations use the platform to create AI-ready data foundations and manage multi-platform environments. The study evaluates 33 providers, naming 13 as Leaders and recognizing Hexaware for customer experience excellence.

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Enterprises are increasingly adopting the Snowflake data platform to strengthen trusted data foundations and support AI initiatives, according to a new research report published today by Information Services Group (ISG). The 2026 ISG Provider Lens global Snowflake Ecosystem Partners report finds that Snowflake is evolving from a cloud-native data warehouse into an enterprise environment for AI operationalization. Organizations are utilizing the platform as a central coordination layer for secure data access, collaboration, and AI-enabled business operations to address architectural complexity and interoperability requirements.

Strategic Modernization and AI Readiness

Many enterprises are pursuing controlled modernization strategies with Snowflake to reduce operational disruption while maintaining existing reporting structures. In regulated industries, organizations are migrating workloads from legacy environments using Snowflake’s separation of compute and storage. These approaches preserve auditability and continuity, allowing enterprises to concentrate on optimization and broader data usability as migrations mature. To support successful AI initiatives, companies are prioritizing AI-ready data environments that include strong metadata management and visible operations.

Multi-Platform Integration and Cost Management

Snowflake increasingly serves as a data consumption and collaboration layer within multi-platform operating models. Rather than consolidating on a single platform, enterprises are using Snowflake alongside other data and analytics platforms to support secure data sharing and operational reporting. This trend necessitates interoperable frameworks and seamless data movement across fragmented environments. To manage costs, companies are implementing workload optimization, warehouse right-sizing, and continuous performance monitoring within Snowflake environments.

Provider Quadrants and Leaders

The report evaluates the capabilities of 33 providers across two quadrants: Modernization and AI/ML Enablement Services and Managed Data and Optimization Services. ISG named several organizations as Leaders in both quadrants for their capabilities in the Snowflake ecosystem.

Provider Quadrant Recognition
Accenture Leader in both quadrants
Capgemini Leader in both quadrants
Cognizant Leader in both quadrants
DXC Technology Leader in both quadrants
EY Leader in both quadrants
HCLTech Leader in both quadrants
Hexaware Leader in both quadrants
Infosys Leader in both quadrants
LTM Leader in both quadrants
NTT DATA Leader in both quadrants
Slalom Leader in both quadrants
TCS Leader in both quadrants
Tredence Leader in both quadrants

In addition to the Leaders, Genpact and phData were named as Rising Stars in one quadrant each. The report also recognized Hexaware as the global ISG CX Star Performer for 2026 among Snowflake ecosystem providers, citing the highest customer satisfaction scores in ISG's Voice of the Customer survey.

How will Snowflake's evolution into an AI operationalization platform impact its competitive positioning against specialized AI and ML infrastructure providers?

What specific cost management strategies will enterprises need to adopt as they scale Snowflake alongside other platforms in multi-cloud environments?

How will regulatory requirements influence the speed and approach of legacy workload migrations to Snowflake in highly regulated industries?

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Snowflake holds valuation edge despite Databricks growth

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Reviewed by
Radhika SScanX News Team
Key Highlights

BNP Paribas analyst Stefan Slowinski suggests the cloud data platform market can support both Snowflake and Databricks, despite the latter's rapid expansion. Databricks targets $6.9 billion in annual recurring revenue by the end of the first half of fiscal 2027, while Snowflake trades at a discount with stronger free cash flow generation.

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Snowflake Inc faces pressure from Databricks' rapid growth and broader product push, though the broader cloud data platform market still supports both companies, according to BNP Paribas analyst Stefan Slowinski. The analyst highlighted that Snowflake's valuation discount and superior cash flow profile present relative attractiveness compared to its privately held competitor.

Databricks Expands Market Reach

Databricks is expanding beyond its traditional data engineering roots into databases, agentic AI, and applications. The company expects to exit the first half of fiscal 2027 at about $6.9 billion in annual recurring revenue, representing more than 80% year-over-year growth. Its core business grew 65% year over year in the first half of fiscal 2027, accelerating for the past 15 months. Additionally, Databricks SQL reached $1.5 billion in annual recurring revenue, growing more than 100% year-over-year.

Valuation and Growth Comparison

Slowinski noted that Databricks' growth and continued success in Snowflake's core SQL market could weigh on Snowflake sentiment. Snowflake's growth recently accelerated to about 34%, with annual recurring revenue of about $5.8 billion based on fiscal second-quarter estimates annualized. Snowflake trades at about 14 times annual recurring revenue, compared with about 19 to 25 times for Databricks. Databricks' latest public funding round valued the company at $134 billion, with a potential new valuation reportedly placing it between $165 billion and $175 billion, compared with Snowflake's roughly $80 billion market value.

Profitability and Cash Flow Advantages

Snowflake's stronger cash generation remains an advantage, Slowinski said. He highlighted Snowflake's 23% free cash flow margin target for this year, compared with Databricks' break-even free cash flow target as it prioritizes investment. BNP Paribas has a $282 forecast price on Snowflake, implying 18% upside from the June 16 price of $238.30. The analyst cited Snowflake's valuation discount, advanced free cash flow profile, and expected move to positive GAAP earnings as key factors making the stock relatively attractive.

Technical and ETF Exposure

Snowflake is trading 6.8% above its 20-day SMA ($222.96) and 15.7% above its 200-day SMA ($205.73), maintaining an intermediate uptrend. The stock is also stretched well above the 50-day and 100-day SMAs, up 34.9% and 35.8% respectively. Momentum indicators show the MACD below its signal line with a negative histogram, suggesting upside pressure is cooling. Snowflake holds significant weight in several ETFs, including the Vanguard Extended Market ETF (0.72%), Global X Cloud Computing ETF (4.06%), and Dana Unconstrained Equity ETF (6.87%).

Metric Snowflake Databricks
Annual Recurring Revenue $5.8 billion $6.9 billion (target)
YoY Growth 34% >80%
ARR Multiple 14x 19–25x
Free Cash Flow Margin 23% target Break-even target
Valuation ~$80 billion $134–$175 billion

How will Snowflake's transition to positive GAAP earnings influence investor sentiment relative to Databricks' continued investment-heavy strategy?

Can Snowflake maintain its free cash flow advantage if it increases R&D spending to compete with Databricks in agentic AI and applications?

What impact could Databricks' potential IPO have on the valuation multiples of publicly traded cloud data platforms like Snowflake?

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