Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
Best BigLake Alternatives ranked by AI · updated Aug 2026
BigLake is Google Cloud's storage and governance layer for querying data across object stores, warehouses, and multiple cloud environments. It is designed for organizations using BigQuery, Dataplex, and Google Cloud analytics services.
Top 6 BigLake alternatives
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days.
Pricing based on usage
Dremio is a lakehouse query and semantic layer platform that provides SQL access across data lakes, warehouses, and other sources. It is...
Pros
- Strong SQL performance and query acceleration for lakehouse environments
- Works well with Apache Iceberg and open data lake architectures
- Provides a free community option for evaluation and smaller deployments
Cons
- Less suited than Zetaris to broad application and operational integration workflows
- Best results often require a well-designed lakehouse architecture
- Advanced governance and enterprise features require paid plans
Free community edition; paid cloud and enterprise plans
Snowflake is a cloud data platform for storing, processing, sharing, and analyzing enterprise data. It serves data teams, analysts, and developers with...
Pros
- Broader cloud data warehouse ecosystem than 1010data
- Strong separation of storage and compute for flexible scaling
- Extensive data-sharing and governance capabilities
Cons
- Costs can be difficult to predict without workload controls
- Requires more tooling for advanced data preparation and machine learning
- Less specialized for 1010data's retail-focused analytical workflows
Usage-based; contact sales
NewEvol Data Lake Solutions is a consulting and implementation service for organizations building cloud-based data lakes and analytics platforms. It supports data...
Pros
- Can tailor architecture and implementation to an organization's existing cloud environment
- Covers data engineering, integration, governance, and analytics rather than storage alone
- Useful for teams that need external expertise instead of building a data platform in-house
Cons
- Public pricing and standardized product tiers are not listed
- Implementation quality and timelines depend on the assigned consulting team
- Less suitable than a self-service platform for teams wanting immediate hands-on control
6
Microsoft Fabric
Microsoft
Microsoft Fabric is a unified cloud analytics platform combining data integration, engineering, warehousing, real-time analytics, and business intelligence. It targets organizations using...
Pros
- More unified analytics experience than Informatica for Microsoft-centric teams
- Integrates directly with Power BI, Azure, Microsoft 365, and Purview
- Offers consumption and per-user pricing options
Cons
- Less specialized than Informatica for master data management and data quality
- Capacity pricing can be difficult to forecast at scale
- Best capabilities depend heavily on the Microsoft ecosystem
From $10/user/mo
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