Skip to content
Go back

DBeaver vs pgAdmin vs DataGrip

By SumGuy 15 min read
DBeaver vs pgAdmin vs DataGrip
Contents

Three Ways to Browse Your Database (And Why You’ll End Up Switching Between All Three)

DBeaver Community is the default for a mixed Postgres and MySQL lab, pgAdmin is the pick when you only run Postgres and want a container you never think about, and DataGrip earns its $109 the first time its visual explain plan finds the missing index for you.

If you’re running Postgres or MySQL in your home lab, you need a client to poke around. Maybe you’re hunting a slow query, setting up a replication test, or just checking if your backup actually restored your data, turns out that’s important.

You’ve got three main contenders: DBeaver (free, bloated, Swiss Army knife), pgAdmin (web-based, free, feels like 2008), and DataGrip (paid, polished, JetBrains). Each one is exactly the wrong tool for something you need to do right now.

Let’s talk about which hammer fits which nail.


DBeaver: The Everything Store

DBeaver is the Honda Civic of database clients, it’ll do anything, it’s affordable, and you’ll find one in every driveway. The free Community Edition covers relational databases: Postgres, MySQL, MariaDB, SQL Server, Oracle, SQLite, DB2, and anything else with a JDBC driver you can point it at.

One thing to get straight before you download it, because a lot of comparison posts get this wrong: MongoDB, Cassandra, Redis and CouchDB are PRO features, not Community ones. DBeaver’s own edition page lists “NoSQL databases support” under PRO alongside cloud-native AWS/GCP/Azure integration, the task scheduler, the visual query builder, and the visual performance tools. If your lab has a Mongo instance in it, DBeaver Community will not talk to it, and no amount of driver fiddling changes that.

The Good

The query editor is legitimately solid. You get real autocomplete (table names, columns, functions), syntax highlighting, and explain plans rendered as a collapsible tree (Ctrl+Shift+E). Write a complex join, hit Ctrl+Enter, see results in milliseconds. The schema browser is thorough, drill into tables, indexes, functions, triggers. Right-click any table and you get a context menu that could feed a small nation.

ER diagrams work. Not fancy, but functional. You can visualize how tables relate without opening a separate tool. If you’re onboarding someone new (“here’s our schema”), ER diagrams beat a five-minute explanation.

Data export is obscene. CSV, JSON, XML, SQL INSERT statements, Markdown tables, pick your poison. Filter that result set and export just the rows you care about.

It’s free and the licence is a real one. Community Edition ships under Apache 2.0 with the source on GitHub. It is developed by DBeaver Corp rather than by a volunteer community, which matters mostly because it explains the release cadence and the upsell prompts.

The Catch

Memory usage bites, but not for the reason people repeat. DBeaver does not slurp whole tables into RAM: resultset.maxrows defaults to 200, so opening a million-row table fetches a 200-row segment and pages as you scroll. What actually eats your heap is clicking “Fetch all rows”, exporting a large result set, or opening a table full of fat bytea and jsonb columns. On a 4GB lab box, DBeaver idling next to a Postgres container is fine. DBeaver exporting two million rows to CSV next to a Postgres container is a bet on which one gets OOM-killed first.

The UI is doing sixteen things at once. You’ve got tree panels on the left, property panes on the right, an output console at the bottom, another pane for object details, and that’s before you open a query tab. It’s powerful but chaotic. New users click around confused for twenty minutes.

Updates are relentless. DBeaver ships on a roughly monthly cadence (26.2.0 landed at the end of August 2026), and every few releases something moves in the preferences tree or a menu gets reorganised. Nothing breaks, but it’s enough to be annoying when you’re troubleshooting at 2 AM and the button isn’t where your muscle memory left it.

The UI is Eclipse. That is the whole aesthetic critique: SWT widgets, gray panels, a perspective system you didn’t ask for, and a layout that is powerful and joyless in equal measure.


pgAdmin: The Postgres Default

pgAdmin 4 ships in two deployment modes, and the comparison posts that call it “the web one” only know about half of it. Server mode is the multi-user web app everybody runs in a container. Desktop mode is the same app wrapped in a purpose-built runtime, installed like any other program, single user, no container. Same codebase, same UI, same features. Pick server mode if you want to reach it from your phone, desktop mode if you just want a client on your laptop.

Either way it’s built for Postgres and Postgres derivatives only, so it’s not stretched thin trying to support Oracle and Cassandra.

The Good

Server mode means no desktop client to install or update. Run the container, map a host port to port 80 inside it (the docs’ own example is -p 5050:80), type a password, you’re in. The learning curve is gentler than DBeaver because the UI is simpler, it’s not trying to be everything.

The tooling is deeper than its reputation. There’s an ERD tool for designing and documenting schemas, a schema diff tool for comparing two databases object by object, a graphical query plan display, a monitoring dashboard, and a procedural language debugger that steps through pl/pgsql. DataGrip charges you for a schema comparison. pgAdmin gives you one for nothing.

Running it as a containerized service (which is how most people use it) means it scales with your infra. Three databases to manage? Add them in the web UI. Ten databases? Still the same experience.

Query execution works. Not fancy, but it executes SQL. You get query history (very useful for auditing what you ran), explain plans, and basic result set tools.

Job scheduling exists, with an asterisk. pgAdmin has a full UI for creating scheduled jobs, but the scheduler itself is pgAgent, a separate daemon, and pgAdmin’s own docs are blunt about it: “pgAgent is not automatically configured when pgAdmin is installed.” You install the daemon, create the pgagent extension in your maintenance database, and only then does the jobs tree appear in the browser. It’s a real scheduler with per-step SQL or shell actions and host-level locking, but “baked in” it is not. If you were expecting to click a button and get cron, budget an afternoon.

The Catch

The UI feels like it was designed in 2008 and hasn’t been touched since. Not unusable, just dated. Lots of nested menus, buttons that don’t look like buttons, a visual hierarchy that doesn’t quite work.

Data export is barebones, and thinner than most write-ups admit. The query tool’s download button saves the output panel to CSV, and only CSV. The separate import/export dialog is a wrapper around COPY, so you get text, CSV and binary. No JSON, no SQL INSERT statements, no Markdown. If you want a result set as JSON you write the json_agg() query yourself.

Connection management is clunky. You navigate through a nested tree to get to a query editor. With DBeaver, you open a new tab and type a query. With pgAdmin, there’s ceremony.

Server mode puts your database UI inside the thing you’re trying to debug. pgAdmin runs in its own container, so a Postgres crash won’t take it down, but a dead Docker daemon, a full disk or an unreachable host takes out both at once. That’s exactly the moment you wanted a client, and the answer is always the same: keep psql installed on the host, because a web UI you can’t reach diagnoses nothing.

Memory usage is lighter than DBeaver, because the browser only ever holds a page of rows and the Python backend streams the rest. Ask it for a big enough result set and it still falls over, just in a different process than the one you were watching.


DataGrip: The Professional’s Pick

DataGrip is JetBrains’ standalone IDE for databases, not a plugin, a whole product. It connects to more than 50 databases, relational and NoSQL, and you’re paying for polish and intelligence.

You are also paying more than the internet thinks. JetBrains raised these, and the $99 figure that every comparison post still quotes is two price rises out of date. Straight off the checkout page for DataGrip (product code DB), as of September 2026:

LicenceYear 1Year 2Year 3+Monthly
Individual$109$87$65$10.90
Organization$259$259$259$25.90
All Products Pack (individual)$299$239$179$29.90

Two things to notice. The loyalty discount is real but individual only: a company-paid licence is a flat $259 a year forever, two and a half times the personal rate, and it does not decay. And if your employer already buys you IntelliJ IDEA Ultimate, PyCharm Professional or the All Products Pack, stop reading this section. JetBrains’ own docs confirm the database tools bundled into those IDEs “include the full DataGrip feature set”. You already own it.

The Good

The query editor is smart. Type an incomplete join, it suggests table names. Type part of a column name, autocomplete narrows to matches. Refactor a query, rename a table everywhere in the file, and DataGrip tracks it across your entire workspace. It’s not just autocomplete, it’s context-aware assistance.

Explain plans are visualized beautifully. You can see which part of your query is slow, how many rows are being processed at each step, and what indexes are (or aren’t) being used. This is worth the admission price for production debugging.

The UI is modern and consistent. Buttons look like buttons, panes organize logically, keyboard shortcuts work intuitively. It’s the same shell as every other JetBrains IDE, which is either a feature or a 700MB download depending on your mood.

Full IDE features are there, project structure, Git integration, console, debugging. If you’re writing stored procedures or migrations, you’re in a real editor, not a textarea.

Multi-database support is broad without being overwhelming. Same query editor for Postgres, MySQL, MariaDB, SQLite, Oracle, SQL Server, and the NoSQL stores DBeaver makes you pay for. The tool adapts to each dialect and will warn you when you use syntax the target server doesn’t have.

The Catch

Cost. $109 in year one is nothing if you’re getting paid to use it, and $259 if your employer is buying. For a hobby lab it stings, especially when DBeaver Community does 80% of the job for nothing. The free trial is 30 days, so you can kick the tires.

It’s heavier than pgAdmin. Not DBeaver-level heavy, but it’s still a full IDE. On low-resource machines, it’ll notice.

If you’re solo, the IDE features are overkill. DataGrip is built for teams managing multiple databases across multiple projects. For a single Postgres instance, you’re paying for features you won’t use.

It’s a subscription, and the escape hatch has a qualifying period. Pay for 12 consecutive months and you earn a perpetual fallback licence: the major version that was current when your subscription started, plus its minor releases, yours forever. Cancel at month 11 and you get nothing, and the same applies if you downgrade from the All Products Pack to a single product inside the year. So the honest floor on trying DataGrip properly is one full year, not one month.

Once you’re on the fallback build, the editor keeps working but the dialect support freezes. When Postgres 19 goes stable, your year-old DataGrip won’t know its new syntax.


Feature Breakdown: Head-to-Head

FeatureDBeaver CommunitypgAdmin 4DataGrip
DatabasesRelational only, any JDBC driverPostgres and EDB Postgres50+, relational and NoSQL
NoSQL (Mongo, Redis, Cassandra)No, PRO onlyNoYes
Query editorSolid, autocompleteBasicIDE-level, dialect-aware
ER diagramsYesYes (ERD tool)Yes
Schema diffPRO onlyYesYes
Result exportCSV, JSON, XML, SQL, MarkdownCSV only from the grid; COPY formats via import/exportCSV, JSON, SQL, TSV, HTML
Memory footprintFetches 200 rows at a time; heavy on “fetch all”LowMedium
Explain plansTree viewGraphical plan displayGraphical, with cost and row estimates
Job schedulingPRO onlyYes, via the separate pgAgent daemonNo
DeploymentDesktopDesktop runtime or web (server mode)Desktop
Cost (Sept 2026)Free (Apache 2.0)Free (PostgreSQL licence)$109/yr individual, $259/yr organization
Version controlNoNoYes, full Git integration

Decision Tree: Which One Should You Use?

You’re running a single Postgres instance and want something lightweight: pgAdmin. Containerize it, forget about it. The UI is dated but it works, and you won’t be battling memory pressure.

You’ve got multiple relational databases (Postgres, MySQL, SQLite) and you’re doing ad-hoc queries: DBeaver Community. Yes, it’s heavy. Yes, the UI is Eclipse. But it does everything, and sometimes that’s worth the pain.

You’ve got a MongoDB or Redis instance in the mix: DataGrip, or DBeaver PRO. Those two are the only options here. DBeaver Community will not connect to them at all, and pgAdmin isn’t in the conversation.

You’re debugging slow queries or writing complex migrations: DataGrip. The query editor and graphical explain plans are worth the cost. You’ll save that $109 the first time you identify a missing index. Check whether IntelliJ IDEA Ultimate or PyCharm Professional is already on your machine first, because the database tools in there are the same product.

You’re managing databases from the road or a shared jump box: pgAdmin. It’s web-based, and that matters.

You’re just testing something quick: All three, honestly. Spin up whichever you’ve got installed. They all execute SQL and show you results.


The Hybrid Approach

Nobody tells you this: pick one and switch to another when you need a specific feature. I keep DBeaver for multi-database administration and data exports. pgAdmin runs as a service for routine checks. DataGrip opens when I’m writing complex migrations or hunting a performance problem.

It’s like having a ratchet set, a hammer, and a power drill. You don’t pick one and throw the others away, you grab whichever fits the job.

DBeaver for “I need to export this result set and also check why my MySQL server is slow.” pgAdmin for “I need to back up my Postgres and also check if it’s running.” DataGrip for “I need to understand why this query takes 4 seconds instead of 40 milliseconds.”

Install all three. Keep them lightweight. Use the right tool when it matters. Your future self at 2 AM will thank you.

Common Questions

Does DBeaver Community support MongoDB?

No. MongoDB, Cassandra, Redis and CouchDB are DBeaver PRO features. DBeaver Community handles relational databases through JDBC drivers only, and there is no driver you can add to unlock NoSQL. For a free Mongo client use MongoDB Compass; for a paid one that also covers Postgres, DataGrip includes NoSQL support.

How much does DataGrip cost in 2026?

$109 for an individual’s first year, dropping to $87 in year two and $65 from year three onward. An organization licence is a flat $259 a year with no loyalty discount. Monthly is $10.90 individual, $25.90 organization. Those are the checkout prices as of September 2026, not the $99 figure older comparisons quote.

Can pgAdmin run scheduled backups on its own?

Not by itself. pgAdmin provides the job-creation UI, but the scheduler is pgAgent, a separate daemon you install on the database host along with the pgagent extension. pgAdmin’s docs state plainly that pgAgent is not configured automatically. Plain cron plus pg_dump is less work for a single server.

Is DBeaver too heavy for a Raspberry Pi or a 4GB machine?

DBeaver runs on 4GB but it is not comfortable. It’s a JVM Eclipse application and wants 1GB or so of heap before you open anything. On a Raspberry Pi, skip it: run pgAdmin in server mode on the Pi and open it from your desktop browser, or just use psql over SSH.

Do I need DataGrip if I already have IntelliJ IDEA Ultimate?

No. The database tools bundled into IntelliJ IDEA Ultimate, PyCharm Professional, and the other paid JetBrains IDEs include the full DataGrip feature set. Buying DataGrip separately only makes sense if you want a database-shaped window with no language IDE around it, or you only have the Community editions.


Share this post on:

Send a Webmention

Written about this post on your own site? Send a webmention and it'll show up above once verified.


Previous Post
k3s Cluster on 3 Mini PCs From Zero
Next Post
MongoDB Self-Hosted in 2026: SSPL and Alternatives

Discussion

Powered by Garrul . Sign in with GitHub or Google, or post anonymously.

Related Posts