Top 10 Snowflake Data Exchange Alternatives & Competitors

Top 10 Alternatives to Snowflake Data Exchange Recently Reviewed By G2 Community

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Crunchbase
By Crunchbase
4.4/5
(403)
Product Description
Crunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combination of live private company data, AI, and market activity from over 80 million users. We predict private market movements that matter to help investors, dealmakers, and analysts make the right decisions.
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Reviewers say compared to Snowflake Data Exchange, Crunchbase is:
Easier to admin
More usable
Easier to do business with
Categories in common with Snowflake Data Exchange:
Data Exchange Platforms
Data as a Service (DaaS)

ZoomInfo Operations
By ZoomInfo
4.4/5
(353)
Product Description
Dedupe your database. In the Cloud. No Software.
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Reviewers say compared to Snowflake Data Exchange, ZoomInfo Operations is:
Easier to do business with
Easier to admin
Categories in common with Snowflake Data Exchange:
Data as a Service (DaaS)

Similarweb
By Similarweb
4.4/5
(1,164)
Product Description
Digital is now the most important driver of growth and profitability for just about every business. Similarweb is a platform that gives our customers a true 360 degree view of all digital activity across customers, prospects, partners, and competition. The resulting insights give our customers — who are some of the world’s biggest brands — a digital edge that helps them beat their competition and win their markets.
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Reviewers say compared to Snowflake Data Exchange, Similarweb is:
Easier to admin
Better at support
Easier to do business with
Categories in common with Snowflake Data Exchange:
Data as a Service (DaaS)

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IBM watsonx.data
By IBM
4.4/5
(161)
Product Description
IBM watsonx.data is a hybrid, open data lakehouse platform designed to unify and manage enterprise data across diverse environments—cloud, on-premises, or hybrid—to support AI and analytics workloads. It combines the scalability of data lakes with the performance of data warehouses, offering a centralized solution for organizations aiming to harness their data for AI-driven insights. Key Features and Functionality: - Unified Data Access: Provides a single point of entry to access and manage structured and unstructured data across various environments, including public cloud, private cloud, hybrid cloud, and on-premises. - Built for Generative AI: Integrates and enriches data to improve the accuracy and performance of generative AI applications. - Flexible Deployment: Supports deployment across multiple infrastructures, including cloud platforms like AWS, Azure, IBM Cloud, and on-premises environments, providing flexibility to meet organizational needs. - Cost Optimization: Features a multi-engine architecture that optimizes workloads, potentially reducing data warehouse costs by up to 50% through efficient workload management. - Open Standards Compatibility: Utilizes open data formats like Apache Iceberg and integrates with Hive Metastore, facilitating interoperability with existing data tools and platforms. - Integrated Governance and Security: Offers built-in data governance tools, security features, and automation to ensure data quality, compliance, and secure access. Primary Value and Problem Solved: IBM watsonx.data addresses the challenges of managing and analyzing vast amounts of enterprise data spread across disparate sources and environments. By providing a unified, open, and governed data lakehouse, it enables organizations to: - Enhance AI and Analytics Initiatives: By unifying structured and unstructured data, organizations can improve the accuracy and performance of AI models and analytics applications. - Reduce Operational Costs: Optimizing workloads across various query engines and storage tiers helps in significantly lowering data management expenses. - Ensure Data Compliance and Security: Built-in governance and security features help maintain data integrity, compliance with regulations, and secure data access across the organization. In summary, IBM watsonx.data empowers enterprises to effectively manage their data lifecycle, enabling scalable and cost-effective AI and analytics solutions while ensuring data governance and security.
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Reviewers say compared to Snowflake Data Exchange, IBM watsonx.data is:
Easier to do business with
Categories in common with Snowflake Data Exchange:
Data as a Service (DaaS)

Weld
By Weld
4.8/5
(101)
Product Description
Weld is an ETL tool, with 100+ fully-managed connectors, designed to enable business to build a data warehouse in just a few hours. The product is ideal for smaller data teams.
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Reviewers say compared to Snowflake Data Exchange, Weld is:
Easier to do business with
Better at support
Easier to admin
Categories in common with Snowflake Data Exchange:
Data Exchange Platforms

PartnerLinQ
By PartnerLInQ
4.6/5
(80)
Product Description
PartnerLinQ is an innovative, process-centric, easy-to-use solution that simplifies digital business communication via EDI, real-time APIs, and proprietary file-based formats. It helps retail, eCommerce, wholesale, 3PL, distribution, and other progressive organizations build digital partner ecosystems, achieve operational efficiency, bring transparency and gain real-time visibility.
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Reviewers say compared to Snowflake Data Exchange, PartnerLinQ is:
More usable
Better at support
Better at meeting requirements
Categories in common with Snowflake Data Exchange:
Data Exchange Platforms

Dremio
By Dremio
4.6/5
(70)
Product Description
Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.
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Reviewers say compared to Snowflake Data Exchange, Dremio is:
More usable
Easier to do business with
Categories in common with Snowflake Data Exchange:
Data as a Service (DaaS)

Peliqan
By Peliqan
4.8/5
(72)
Product Description
Peliqan.io is an all-in-one data platform for business teams, startups, scale-ups and IT service companies - no data engineer needed. Easily connect to databases, data warehouses and SaaS business applications. Explore and combine data in a spreadsheet UI. Business users can combine data from multiple sources, clean the data, make edits in personal copies and apply transformations. Power users can use "SQL on anything" and developers can use low-code to build interactive data apps, implement writebacks and apply machine learning.
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Reviewers say compared to Snowflake Data Exchange, Peliqan is:
More expensive
More usable
Better at support
Categories in common with Snowflake Data Exchange:
Data Exchange Platforms

AWS Data Exchange
By Amazon Web Services (AWS)
4.2/5
(16)
Product Description
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud.
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Categories in common with Snowflake Data Exchange:
Data Exchange Platforms