![]() Couch’s primary interface is an HTTP API, typically used through cURL. Let’s get started, going from most basic to most advanced.ĬouchDB is a mature database with plenty of features, but its GUI Fauxton (formerly named Futon) is pretty minimal. High availability through clustering is important when you have many concurrent users solving bottlenecks is important if you need to improve the speed of heavy queries, and so on. Obviously this all depends on your specific needs. Clustering – tne rationale for the creation of the first “NoSQL” databases was the need for horizontal scalability – so we might expect the GUI to help visualize and manage a distributed database.It’s especially important that the GUI provide event logs and performance stats for debugging and identifying bottlenecks. But the cost of freedom is that you’re more likely to run into gotchas. Stats & metrics – to oversimplify, document dbs give you more freedom than relational dbs.Here too, each database has a different approach that needs to be learned. Visualizing how data is processed – indexes, projections, queries, and especially aggregations like mapreduce are easier to analyze and keep track of with flow charts and other aids.This can be a hassle, but good GUIs can help you write queries and indexes well before you’re fluent. Learning to query – each database we’ll look at has its own query syntax in lieu of SQL. ![]() So how can groups of documents with different structures be displayed and compared in a compact way? Comparing lots of data – unlike the rows in a relational table, documents don’t have to obey a schema.and finally RavenDB’s Studio, which I’d argue is the best management GUI in the field.īesides the usual features a database management system should have, I want to see how each GUI handles the demands specific to document stores. ![]()
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