Comparison

gdotv vs. Azure Cosmos DB Data Explorer

How does gdotv compare to Azure Cosmos DB Data Explorer?

Compare features and read a deep dive from the team.

About Azure Cosmos DB Data Explorer

Azure Cosmos DB Data Explorer is a free, browser-based tool that comes bundled with Azure Cosmos DB. It allows running Gremlin queries, viewing results as JSON or a simple graph, editing vertices/edges, and seeing query stats.

To learn more about how Azure Cosmos DB integrates with gdotv, see our Azure Cosmos DB database page.

Summary

The Azure Cosmos DB Data Explorer is adequate for simple, occasional queries. Its primary strength is that it comes bundled with your Azure Cosmos DB license, meaning that you can do rudimentary data exploration of your Azure Cosmos data without turning to other vendors.

For those wanting deeper look at their data, however, they will find that the Azure Cosmos Data Explorer has significant limitations. gdotv is a more powerful client, built for detailed, day-to-day graph database work, and comes packaged with substantively more advanced querying, visualization, and exploration features. As a general-purpose graph IDE, gdotv also provides a centralized environment for users to access all their graph data, hosted on Azure Cosmos DB or otherwise.

Comparison overview

FeaturegdotvAzure Cosmos DB Data Explorer
Query EditorYesYes
Query LanguageGremlin & moreGremlin
Syntax HighlightingYesNo
Schema-Aware AutocompleteYesNo
Built-in DocumentationYesNo
No-Code ExplorationYesNo
DashboardingYesNo
Multiple Graph LayoutsYesNo
Edit graph within UIYesNo
Graph filteringYesNo
DeploymentDesktop / CloudBrowser based
Pricing modelCommercial / Free trialBundled with Azure Cosmos DB
Database supportIndustry-wideAzure Cosmos DB

In conclusion

Arthur Bigeard

CEO & Founder

If you’re serious about using the Gremlin API on Azure Cosmos DB you will very quickly run into limitations with the Azure Cosmos DB Data Explorer. gdotv gives you all the tooling you actually need to perform complex operations against your graph database whether it be writing difficult Gremlin queries, profiling your queries, visualizing data, or just exploring and interacting with your graph data.

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