Best Graph Databases for Databricks Data Intelligence Platform

Find and compare the best Graph Databases for Databricks Data Intelligence Platform in 2024

Use the comparison tool below to compare the top Graph Databases for Databricks Data Intelligence Platform on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    PuppyGraph Reviews
    PuppyGraph allows you to query multiple data stores in a single graph model. Graph databases can be expensive, require months of setup, and require a dedicated team. Traditional graph databases struggle to handle data beyond 100GB and can take hours to run queries with multiple hops. A separate graph database complicates architecture with fragile ETLs, and increases your total cost ownership (TCO). Connect to any data source, anywhere. Cross-cloud and cross region graph analytics. No ETLs are required, nor is data replication. PuppyGraph allows you to query data as a graph directly from your data lakes and warehouses. This eliminates the need for time-consuming ETL processes that are required with a traditional graph databases setup. No more data delays or failed ETL processes. PuppyGraph eliminates graph scaling issues by separating computation from storage.
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