Picking a database management tool in 2026 mostly comes down to three names: DBeaver, DataGrip and TablePlus. The price spread is wide. DBeaver Community costs nothing, DBeaver’s top paid edition is listed at $510 per user per year, and TablePlus sells team seats at $79 each with a three-seat minimum. DataGrip sits in the middle on features and, according to our research, offers free noncommercial use.
This comparison uses only figures we could confirm on vendor pages and release notes as of October 27, 2026. Where a vendor did not expose a number (DataGrip’s commercial price, TablePlus’s current version), we say so instead of guessing. You get a specs table, a pricing table with a three-year cost model, a benchmark plan you can run in ten minutes, seven real-world scenarios, a migration guide and a clear pick.
If your real question is which engine to run underneath, our PostgreSQL vs MySQL comparison covers that side. This piece is about the client you point at the engine, the window where you will spend a good share of every working week.
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DBeaver vs DataGrip vs TablePlus: The Short Verdict
Here is the answer before the detail. Choose DBeaver if you touch many database engines, want a free tier that handles real work, or need a path to a web or command-line workflow later. Choose DataGrip if your team already lives in JetBrains IDEs and values code-aware SQL editing more than price. Choose TablePlus if you want a native client that opens fast on a laptop and you do not need an IDE wrapped around your queries.
Three facts drive that ranking. First, DBeaver Community is free and open source, and no rival on this list matches that for general commercial use. Second, both DBeaver and DataGrip shipped AI-agent and MCP-related features in 2026, while we found no confirmed AI feature for TablePlus. Third, TablePlus has the lowest paid entry cost we could verify, at $79 per seat on its team plan.
One caveat belongs up front. No vendor publishes a comparable speed benchmark, and the third-party roundups we reviewed score tools on editorial criteria rather than stopwatch tests. We say exactly what that means in the benchmark section and hand you a test to run on your own data, which beats any vendor chart anyway.
- Best free all-rounder: DBeaver Community, for any mix of engines.
- Best for JetBrains teams: DataGrip, because it shares keymaps, version control and AI chat with the rest of the IDE family.
- Best lightweight native client: TablePlus, for solo developers and small agencies.
- Best for scripted and headless work: DBeaver with its dbvr command-line tool, or DataGrip with its data-source CLI commands.
- Best for large regulated shops: DBeaver’s paid editions, which are sold through AWS Marketplace and include server-side options.
Specs Table: DBeaver, DataGrip and TablePlus Side by Side
The table below sticks to facts we confirmed on vendor pages or in vendor release notes. Cells that say not confirmed mean our research found no official statement, not that the feature is missing.
| Spec | DBeaver | DataGrip | TablePlus |
|---|---|---|---|
| Maker | DBeaver Corporation (New York City) | JetBrains | TablePlus Inc. (Toronto) |
| Free tier | Community edition, free and open source | No free commercial tier confirmed (see text) | Not confirmed |
| Desktop platforms | Windows, macOS, Linux | Windows, macOS, Linux | macOS, Windows, Linux |
| Architecture | Java desktop application | JetBrains IDE platform (Java) | Native application per platform |
| Engine coverage | Widest of the three, 100+ data sources claimed on the PRO site | Relational and NoSQL, bundled JDBC drivers | Common relational engines |
| Newest release we confirmed | Community 26.2.3, PRO 26.2 | 2026.2 released, 2026.3 docs already live | Not confirmed from an official page |
| AI assistant | AI Chat in PRO, AI Assistant in Community release notes | AI-agent skills in 2026.2 | Not confirmed |
| MCP support | MCP server support since PRO 26.0 | MCP tools added in 2026.2 | Not confirmed |
| Command-line tool | dbvr (separate paid product) | CLI commands for data-source management | Not confirmed |
| Web or server option | CloudBeaver | Desktop IDE only | Desktop client only |
| Marketplace listing | AWS Marketplace | JetBrains subscription | Direct purchase |
| Team plan | CloudBeaver Enterprise | JetBrains organization licensing | $79 per seat, three-seat minimum |
| Source license | Open source (Community) | Proprietary | Proprietary |
Two rows deserve a second look. The newest-release row shows how different the release styles are. DBeaver ships numbered point releases every couple of weeks, JetBrains ships a few named majors a year, and TablePlus keeps its version history quiet enough that we could not confirm a number from an official page. A third-party listing mentioned a TablePlus 6.0.3 build in October, but without a vendor confirmation we left it out of the table.
The architecture row matters more than it looks. DBeaver and DataGrip both run on the Java platform, which gives them the broadest JDBC driver support and also a larger memory footprint than a native app. TablePlus trades that breadth for startup speed and a lighter feel. We return to that trade-off in the benchmark section.
What Each Database Management Tool Is in October 2026
Before comparing features, it helps to know what you are actually buying or downloading. All three products changed shape during 2026, and older blog posts describe versions that no longer exist.
DBeaver: Community, PRO and the New dbvr CLI
DBeaver is now a family of products rather than a single app. DBeaver Community is the free, open-source desktop tool. The commercial line is branded DBeaver PRO and includes Lite, Enterprise and a top-tier edition, plus CloudBeaver for browser access and a standalone command-line product called dbvr. Our research confirmed Community 26.2.3 as the newest Community build, and DBeaver PRO 26.2 as the current PRO release. DBeaver’s own announcement for 26.2 reads: “Version 26.2 of DBeaver PRO is now available. This release brings cross-database querying, new interaction actions in AI Chat, support for two more secret management providers, and four new drivers.”
The calendar for 2026 shows a company pushing hard toward automation. PRO 26.0 arrived on March 12 with MCP server support and the first dbvr release. The company followed on March 26 with a press release describing dbvr as a standalone CLI for database management, naming Tatiana Krupenya as CEO of DBeaver Corporation. In April, DBeaver announced its top paid edition on AWS Marketplace (April 23). In September, version 26.2 of the top paid edition and dbvr 26.2 both landed on September 7. You can read the dbvr announcement on DBeaver’s site for the vendor’s own framing.
One housekeeping warning from DBeaver itself: early-access builds are labeled less stable and unsuitable for production use. Stick to the regular releases on any machine that holds production credentials. If you want a throwaway sandbox to try each client against, our PostgreSQL tutorial walks through standing up a local instance.
DataGrip: JetBrains’ Database IDE
DataGrip is JetBrains’ database IDE, and the 2026 release train shows where the company thinks the category is going. DataGrip 2026.1 reportedly redesigned query files, added data-source templates stored in a JetBrains Account, brought AI agents into JetBrains AI Chat and improved the Explain Plan workflow. DataGrip 2026.2, published on July 16, added AI-agent skills, MCP tools, CLI commands for managing data sources, bundled JDBC drivers and better session control.
Documentation for DataGrip 2026.3 is already live on JetBrains’ help site, which suggests the next major release is close. We did not find a published 2026.3 release, so treat 2026.2 as the shipping version. The other 2026 headline is licensing. Our research indicates DataGrip is free for noncommercial use, a single-source finding we could not cross-check on a JetBrains pricing page. If you plan to rely on it, confirm the terms with JetBrains before you standardize.
TablePlus: The Native Client
TablePlus Inc., which lists a Toronto address on its site, positions TablePlus as a modern, native database client. It runs on macOS, Windows and Linux. The macOS build supports Apple Silicon and requires macOS 12.0 or later, and the system requirements list .NET 4.8, which applies to the Windows build. The company is quiet about releases, so the freshest official item we found was a guide on connecting Supabase to TablePlus, first published April 6 and updated October 18.
That quietness is a real finding. DBeaver and DataGrip publish dated release notes with named library fixes. TablePlus publishes a feature page and a pricing page. If you need a vendor that documents every patch, TablePlus is the weakest of the three on that axis, even though day-to-day users often praise the app itself.
Pricing: Free, $79 a Seat and $510 a Year
Pricing is where the three tools diverge most, and also where the research was most uneven. DBeaver and TablePlus expose numbers. JetBrains did not return a DataGrip price page in our fetch, so we leave that row open rather than quoting an old figure.
| Product | Plan | Price we confirmed | Billing |
|---|---|---|---|
| DBeaver | Community | $0 | Free, open source |
| DBeaver | Top paid desktop edition | $510 per user | Per year |
| DBeaver | Lite and PRO | Not exposed in our sources | Annual subscription |
| DBeaver | dbvr CLI | $800 per machine | Per year, 14-day free trial |
| DataGrip | Commercial licence | Not confirmed here | JetBrains subscription |
| TablePlus | Team | $79 per seat, three-seat minimum | Three seats cost $237 before VAT |
| TablePlus | Licence renewal | $59 per device | Perpetual licence, one year of updates included |
A few notes on that table. DBeaver’s paid desktop plans are annual subscriptions, and each renewal buys another year of use, updates and support. The $800 dbvr price is a per-machine figure, which makes it a different cost shape from a per-developer seat. TablePlus describes its licences as perpetual, with one year of updates included and renewal at $59 per device after that. One third-party comparison lists TablePlus at $99 per licence, but it does not separate the Basic, Standard and Team tiers, so we used the vendor-level Team and renewal figures instead.
A Three-Year Cost Model for a Five-Developer Team
Arithmetic on the confirmed numbers shows how different the shapes are. The TablePlus line assumes that Team seats renew at the same $59 per device as other licences. The vendor page does not say so explicitly, so treat that row as an estimate.
| Scenario (5 developers, 3 years) | Math | Total |
|---|---|---|
| DBeaver Community | 5 x $0 | $0 |
| DBeaver top paid edition | 5 x $510 x 3 years | Not listed |
| TablePlus Team (estimate) | 5 x $79 in year one, then 5 x $59 x 2 renewals | $985 |
| DataGrip | Commercial price not confirmed | Check JetBrains |
The gap is large enough to shape the decision for cost-sensitive teams. DBeaver Community is the obvious default when budget is the main constraint. TablePlus is the cheapest paid route. DBeaver’s paid editions only make sense if you need what they add: server-side deployment, team features, enterprise drivers or a procurement path through a cloud marketplace. The $510 per user per year price buys you those capabilities, and for a team that would otherwise build them itself, it is not an unreasonable sum.
Database Support and Daily Workflow: Where Each Tool Fits
Engine coverage is DBeaver’s signature strength. Its PRO site describes support for more than 100 data sources, including PostgreSQL, MySQL, Oracle, SQL Server, MongoDB and Snowflake. The release notes back that up with concrete driver work. Recent notes list updates to the ClickHouse, Couchbase, Databend, Databricks, MongoDB, PostgreSQL, StarRocks, H2, InterSystems IRIS, Redshift and Snowflake drivers, and the 26.2 announcement adds four new drivers. If your week includes a warehouse, a document store and a legacy Oracle box, DBeaver is built for that.
DataGrip covers relational and NoSQL engines through JDBC and bundles drivers in the 2026.2 release, which removes one of the oldest annoyances of the category: hunting down a driver jar. Its edge is not breadth, it is depth on the SQL you write. Schema-aware completion, refactoring and the shared JetBrains toolbox make it the strongest editor for people who write a lot of non-trivial queries. If your decision hinges on engine choice rather than client choice, our MongoDB vs PostgreSQL comparison lays out the trade-offs, and the MongoDB tutorial helps if you are new to the document model.
TablePlus focuses on the engines most application developers actually use day to day. It does not try to match DBeaver’s catalogue, and that restraint is part of its appeal. The interface keeps connections, tabs and a results grid within easy reach, and it is known for letting you stage row edits before you commit them, which is a useful safety net on a production replica.
Editor, Results Grid and Schema Tools
In daily use the three tools feel different. DBeaver offers the most buttons, panes and options, which is a gift if you need an ER diagram, a data transfer between two engines or a quick export, and a cost if you want a quiet screen. DataGrip organizes everything around the editor and treats the database like a project, with local history, search and version control integration inherited from the IDE family. TablePlus favours a clean grid, a command bar and fast tab switching.
None of those styles is objectively better. A DBA who inspects schemas for a living tends to want DBeaver’s breadth. A backend engineer who writes and refactors queries beside application code tends to want DataGrip. A full-stack developer who dips into the database a dozen times a day tends to want TablePlus.
AI Assistants, MCP Servers and CLI Tools in 2026
The biggest change in this category over the past year is that database clients became agent endpoints. Both DBeaver and DataGrip added Model Context Protocol (MCP) features, which let AI tools such as coding agents talk to a database through a controlled interface instead of a pasted connection string.
DBeaver PRO 26.0 added MCP server support and introduced dbvr. DBeaver’s site says its Team Edition Web and CloudBeaver Enterprise products can operate as MCP servers that connect databases with tools such as Cursor, VS Code and Claude. In the Community line, the 26.2.2 release notes reportedly added AI-engine selection, support for self-hosted OpenAI-compatible endpoints and autocomplete acceptance settings, which matters to teams that cannot send schema details to a public API. October notes also mention drag-and-drop for Navigator objects and files into the AI Assistant.
DataGrip 2026.2 took a parallel path: AI-agent skills, MCP tools and CLI commands for data-source management. A JetBrains blog post from August 26 covers AI agents in DataGrip, which tells you the company sees agents as a core workflow rather than a side feature. TablePlus has no confirmed AI or MCP feature in our research, so if agent workflows matter to you this year, the choice narrows to the other two.
Why the CLI Matters More Than It Sounds
A command-line interface turns a GUI tool into something a script can drive. DBeaver positions dbvr for headless, terminal-first, containerized and scripted workflows, and the price is $800 per machine per year with a 14-day trial. DataGrip’s approach is lighter: CLI commands that manage data sources, so a team can template connections rather than click through them. Neither is a replacement for psql or your engine’s native shell, but both help when you want repeatable setup across a team.
Use caution with any agent connection. Give an AI tool a read-only role, point it at a replica, and log what it runs. If you are exploring vector search or retrieval workloads alongside your relational data, our Milvus vector database tutorial shows a stack where that pattern is common. The rule holds either way: the client is the control plane, so lock down the account it uses.
Performance and Benchmarks: What Is Measured and What Is Not
A fair comparison needs numbers, and here the honest answer is that comparable ones do not exist. We looked for startup time, memory use, large result-set load time and export speed across the three tools. We found no vendor-published figures and no recent independent stopwatch tests with matching methodology. Editorial roundups such as Rankite’s comparison of eight tools, the Expert Insights ranking and a DEV Community design-tools list score on features and price, not on latency.
We would rather tell you that than paste unsourced figures. What we can say from architecture is directional. A native client such as TablePlus usually starts faster and idles lighter than a Java application. A Java IDE such as DataGrip or DBeaver pays a startup and memory cost, then wins on driver breadth and editor depth. Whether that cost matters depends on your machine and your habits, so measure it.
| Metric | Why it matters | How to measure it |
|---|---|---|
| Cold start to first query | Decides whether you leave the tool open all day | Stopwatch from launch click to a returned SELECT 1, best of three runs |
| Idle memory with 3 connections | Matters on laptops with 16 GB or less | Task Manager, Activity Monitor or ps with the rss column |
| Result grid load for 1M rows | Shows how the grid handles large fetches | Run the same SELECT, time until the grid is scrollable |
| Scroll and sort smoothness | Reveals rendering overhead | Sort a 1M-row grid by a text column, note lag |
| CSV export of 1M rows | Common analyst task | Export the same query, compare wall-clock time and file size |
| Autocomplete latency on a big schema | Editor quality under real conditions | Type a join across 5 tables in a 500-table database |
| Schema introspection time | First-connect experience | Time from connect to a fully browsable tree |
Build a repeatable dataset first. This statement creates a one-million-row PostgreSQL table you can query from every client, so each tool faces the same load:
CREATE TABLE bench_orders AS
SELECT g AS id,
(random() * 1000)::int AS customer_id,
now() - (random() * 365 || ' days')::interval AS created_at,
md5(g::text) AS note
FROM generate_series(1, 1000000) AS g;Then capture a server-side baseline so you can separate database time from client time. If the server finishes in a fraction of the time the grid takes to render, the client is your bottleneck:
EXPLAIN (ANALYZE, BUFFERS)
SELECT customer_id, count(*), max(created_at)
FROM bench_orders
GROUP BY customer_id;Finally, sample memory while each tool sits idle with three connections open. On Linux or macOS, this one-liner prints resident memory in kilobytes for the first matching process:
ps -o rss,command -p "$(pgrep -f -i dbeaver | head -1)"Swap the process name for datagrip or tableplus. Record each number three times and use the median. Ten minutes of this tells you more about your own laptop than any chart we could publish.
Security, Updates and Release Cadence
A database client stores connection strings, tunnels and sometimes saved passwords. That makes dependency hygiene a security question, not a comfort feature. DBeaver is the only vendor of the three that publishes enough detail to evaluate this. Its recent release notes list fixes for high-severity issues in bundled libraries, and the DBeaver 26.2.2 release notes show the pattern of frequent patching in the Community line.
| Library or driver | Issue | Fix recorded in release notes |
|---|---|---|
| jetty-security | CVE-2026-10050 (high) | Updated to version 12.1.11 |
| netty-codec libraries | High vulnerabilities | netty-bom updated to version 4.2.16 |
| PostgreSQL JDBC driver | CVE-2026-54291 | Updated to version 42.7.13 |
| sun.mail.jakarta | CVE-2025-7962 (high) | Updated to version 2.0.2 |
| bcpg-jdk18on | CVE-2026-3505 (high) | Updated to version 1.84.0 |
| netty-codec-http2 | CVE-2026-33871 (high) | Updated to version 4.2.13 |
| tomcat-embed-core | CVE-2026-24734 (high) | Library removed from dependencies |
| rhino | CVE-2025-66453 (medium) | Updated to version 1.7.15.1 |
Two readings of that table are fair. The positive one: DBeaver documents its patches openly, and the PostgreSQL driver fix is listed alongside the others. The cautionary one: a large Java dependency tree means a large surface to patch, and you need to apply updates promptly. A tool that ships twice a month is only safe if you install the updates.
For DataGrip, the equivalent signal is JetBrains’ regular major releases and bundled JDBC drivers, which put driver updates on the same cadence as the IDE. For TablePlus, we found no public changelog data comparable to the DBeaver notes, so we cannot rate its patch speed either way. If your security team asks for evidence, that gap is worth raising with the vendor directly.
Practical controls apply to all three. Keep saved passwords in the operating system keychain or a password manager, require TLS on connections, use SSH tunnels or a bastion for private networks, and give each tool a role with the minimum rights. A read-only role for exploration costs nothing and prevents the classic mistake of running an UPDATE without a WHERE clause on the wrong tab.
Team and Enterprise Fit
Solo developers pick on feel. Teams pick on shared configuration, procurement and audit. This is where the products diverge from a pure feature checklist.
DBeaver has the most complete team story. CloudBeaver gives browser access to databases, and DBeaver Ultimate is also available through AWS Marketplace, which gives organizations a way to buy through a cloud vendor they already use. That last point sounds minor and is not. In many companies a purchase that flows through a marketplace skips weeks of vendor onboarding.
DataGrip leans on the JetBrains ecosystem. Data-source templates tied to a JetBrains Account (reported in the 2026.1 release) let a team share connection definitions without sharing passwords. If your developers already hold JetBrains licences, adding DataGrip is administratively simple. If they do not, you are adopting a vendor, not just a tool.
TablePlus covers small teams well. The team plan at $79 per seat with a three-seat minimum is easy to expense, and a team of three spends $237 before VAT. Beyond that scale, it offers fewer central controls than the other two. For a ten-person agency that is fine. For a regulated company that needs audit logs and centralized credentials, it is not the right base.
If your team is also rationalizing its API tooling this quarter, the same procurement logic applies. Our Postman alternatives roundup walks through Git-friendly clients that pair well with a file-based database workflow.
Seven Real-World Scenarios
The first two scenarios below come from documented facts about each product. The rest are composite examples that mirror situations we see in engineering teams, and we mark them as such so nobody mistakes them for named customers.
- Supabase developer on a Mac (documented). TablePlus publishes a guide for connecting to Supabase, last updated October 18, 2026. A developer who already uses a hosted Postgres service gets a short path from signup to a working client, with no Java runtime involved.
- Analyst on a mixed stack (documented). DBeaver’s recent release notes list driver updates for ClickHouse, Databricks, MongoDB, Redshift and Snowflake in one run of releases. An analyst who joins a PostgreSQL table to a warehouse export and a document collection can do it from one application.
- Procurement-constrained enterprise (composite). A company with a committed AWS spend wants to pay for tools from that budget. The AWS Marketplace route for DBeaver’s top paid edition fits. Compare the cloud side of the stack with our AWS RDS vs Azure Database vs Google Cloud SQL guide before you decide where the databases themselves should live.
- JetBrains-first backend team (composite). Eight engineers write Kotlin or Java services in IntelliJ-based IDEs. DataGrip shares their keymaps, and its 2026.2 CLI commands let the team script data-source setup for new hires.
- Three-person agency (composite). The agency needs a client on Mac and Windows laptops without an admin overhead. The TablePlus team plan at $237 for three seats before VAT fits the budget and stays out of the way.
- Platform team automating checks (composite). A team wants a nightly script that runs a set of read-only queries and posts results to chat. dbvr at $800 per machine per year, or DataGrip’s data-source CLI plus the engine’s native shell, can anchor that job.
- Open-source maintainers (composite). Volunteers who cannot pay for tools default to DBeaver Community, which is free and open source and has a quick patch cadence. Early-access builds stay off their machines because DBeaver itself warns against production use.
Notice the pattern. Constraints, not features, decided most of those outcomes: budget, platform, procurement route and what the team already owned.
Use-Case Recommendations: Who Should Pick What
Use this section as a lookup table when choosing a database management tool for your own situation.
| If you are… | Pick | Reason |
|---|---|---|
| A student or hobbyist on a budget | DBeaver Community | Free, open source, handles most engines |
| A JetBrains shop writing complex SQL | DataGrip | Editor depth, shared IDE tooling, agent features |
| A solo dev on a Mac who wants speed | TablePlus | Native feel, low entry cost |
| A data engineer with many engines | DBeaver | Widest driver list, cross-database querying in PRO 26.2 |
| A team needing browser access | DBeaver CloudBeaver | Only option of the three with a web product |
| A security-conscious team wanting patch visibility | DBeaver | Detailed public release notes with named fixes |
| A team planning agent workflows | DBeaver or DataGrip | Both shipped MCP features in 2026 |
Three of these picks deserve a sentence each. Students and hobbyists should not pay for anything until they hit a wall, and DBeaver Community rarely forces that moment. JetBrains shops should check their existing licence before pricing anything else. And teams exploring agents should start with a read-only replica regardless of which tool they choose.
There is also a fair case for using two tools. Many developers keep TablePlus for quick lookups and DBeaver or DataGrip for heavy sessions. With Community free and TablePlus cheap, the combined cost stays small.
Migration Guide: Switching Tools Without Losing a Day
Moving between database clients is mostly bookkeeping. No vendor offers a perfect importer for a rival’s settings, so plan to rebuild connections by hand and carry your saved queries across as files. This process works for any pairing of the three.
- Inventory connections. List host, port, database, user, SSL mode and any SSH tunnel for each saved connection. A spreadsheet is enough.
- Move secrets out of the tool. Store passwords in a password manager or OS keychain so you can paste them into the new client without exporting them in plain text.
- Copy saved queries. DBeaver keeps SQL scripts as plain .sql files in its workspace, so you can copy them into a project folder. Do the same from DataGrip’s query files, then keep that folder under Git.
- Create a read-only role. Use it for the first week in the new tool so a muscle-memory shortcut cannot run a destructive statement.
- Rebuild connections in the new client. Match driver versions where the tool lets you choose, and test each connection with a trivial query.
- Check keymaps and editor settings. Set run-query, comment and format shortcuts to what your fingers expect.
- Run both tools for one sprint. Keep the old tool installed until the new one has survived a real incident or deploy.
- Review licensing before renewal. Cancel or reassign seats once the team has switched.
The read-only role from step four takes two statements in PostgreSQL 14 or later. Run them as an administrator, then use the new role in every client you test:
CREATE ROLE gui_readonly LOGIN PASSWORD 'change-me-now';
GRANT pg_read_all_data TO gui_readonly;If you are tidying your wider toolbox during the same project, our API testing tools comparison covers the other client most backend developers keep open all day. Migrating both at once is easier than doing two separate cutovers.
Common Pitfalls
Teams trip over the same few things. They forget SSH tunnel settings, so connections fail with a vague timeout. They leave a shared admin password in a screenshot or a wiki page. They compare tools on a tiny local database, where every client feels fast. Use your real schema and your slowest query, or the test tells you nothing.
Pros and Cons
| Tool | Pros | Cons |
|---|---|---|
| DBeaver | Free Community edition, widest engine list, MCP and CLI options, detailed release notes, browser and marketplace routes | Dense interface, Java memory footprint, paid editions reach $510 per user per year, early-access builds unsuitable for production |
| DataGrip | Strong SQL editor, JetBrains integration, bundled JDBC drivers, AI agents and MCP tools in 2026.2 | Commercial price unconfirmed in our research, desktop only, best value for existing JetBrains users |
| TablePlus | Native feel, lowest verified paid entry ($79 per seat), clean interface, runs on macOS, Windows and Linux | No confirmed AI or MCP features, thin public changelog, fewer central admin controls |
Each con above has a workaround, and each pro has a limit. DBeaver’s density is manageable once you hide panes you do not use. DataGrip’s price matters less if your company already pays JetBrains. TablePlus’s thin changelog matters less if your risk policy allows it.
Final Verdict: Our Pick for 2026
For most readers, start with DBeaver Community as your database management tool. It costs nothing, it speaks to the most engines, and the vendor documents its patches in a way the others do not. If you outgrow it, the paid editions give you a ladder that includes browser access, a CLI and a marketplace purchase route. The numbers support that call: $0 to start, against $79 per seat for TablePlus and $510 per user per year for DBeaver’s top paid edition.
Switch to DataGrip if you live in JetBrains tools and write a lot of SQL, because the editor depth and 2026.2 agent features earn their place. Confirm the licence terms with JetBrains first, since we could not verify a commercial price. Choose TablePlus if you are a solo developer or a small agency that values a native, quiet client and can live without AI features for now.
We will revisit this comparison when DataGrip 2026.3 ships, when TablePlus publishes a confirmed current version, or when DBeaver changes its edition lineup. Until then, the decision rule is simple: breadth and price point to DBeaver, editor depth points to DataGrip, and simplicity points to TablePlus. For more developer tool matchups, browse the software category.
FAQ: DBeaver vs DataGrip vs TablePlus
Is DBeaver really free?
Yes, DBeaver Community is a free, open-source database management tool. The paid editions add features and support. The top paid desktop edition is listed at $510 per user per year, and the dbvr command-line tool costs $800 per machine per year with a 14-day trial.
How much does DataGrip cost?
We could not confirm a current commercial DataGrip price from a JetBrains pricing page, so we do not quote one. DataGrip is sold through JetBrains subscriptions, and its licence terms changed in 2026, so check the JetBrains buy page for your use case before you budget.
How much does TablePlus cost?
TablePlus lists a team plan at $79 per seat with a three-seat minimum, which comes to $237 for three seats before VAT. Its licences are described as perpetual with one year of updates, and renewal is $59 per device. One third-party site lists $99 per licence, so confirm your tier on the vendor page.
Which tool is best for PostgreSQL?
All three handle PostgreSQL well. DBeaver Community is the best free choice, DataGrip has the deepest SQL editor, and TablePlus gives the lightest feel. DBeaver also updated its PostgreSQL driver to 42.7.13 to address CVE-2026-54291 in recent release notes.
Do these tools support AI and MCP?
DBeaver added MCP server support in PRO 26.0 and AI Chat actions in PRO 26.2. DataGrip 2026.2 added AI-agent skills and MCP tools. We found no confirmed AI or MCP feature for TablePlus. Always give agents a read-only role.
Which is fastest?
No vendor publishes comparable benchmarks, so we cannot name a winner with numbers. A native app like TablePlus usually starts lighter than Java-based DBeaver or DataGrip, but you should run the ten-minute test in this article on your own data and hardware.
Can I run DBeaver in a browser?
Yes, through CloudBeaver, DBeaver’s browser-based product, and through Team Edition Web. Neither DataGrip nor TablePlus offers a web version in our research.
What is the easiest tool to switch away from?
All three are easy to leave because your data lives in the database, not the client. Export your saved queries as .sql files, rebuild the connections and keep the old tool installed for one sprint, as the migration guide above describes.
