DuckDB
The in-process SQL OLAP database — SQLite-style embedding, columnar speed, and 1.5.2 ships DuckLake 1.0 GA.
TigerBeetle is an open-source, single-purpose database for double-entry accounting and financial transactions, claiming up to 1,000× the throughput of general-purpose databases. We rate it 87/100 — the most exciting OLTP project of the decade, with caveats.
TigerBeetle is an open-source, distributed, mission-critical database designed for one job only — financial transactions and double-entry accounting — and it does that job at numbers that general-purpose databases simply cannot reach. We rate it 87/100 — if you are building a payment processor, ledger, exchange, online wallet, or any system where every debit must equal every credit, TigerBeetle is the most interesting database release of the past decade.
TigerBeetle was founded by Joran Dirk Greef (CEO, ex-Coil) along with co-founders King Butcher and Phil Eaton, and was incubated as part of Coil before spinning out as an independent company. The project's first commits date back to 2020, and the company closed a $24M Series A led by Spark Capital in , with participation from Amplify Partners and Coil — bringing total funding to roughly $30.5M. As of , the tigerbeetle/tigerbeetle repository has crossed 15,779 GitHub stars, and the database powers production ledgers at fintechs, exchanges, and payment networks worldwide.
The thesis is elegant and uncompromising: financial accounting is a different shape of workload than the read-heavy, schema-flexible workloads that Postgres or MySQL were optimized for. Money movement is overwhelmingly write-heavy, every transfer is a tightly-typed pair of debits and credits, and correctness must be enforced at the storage layer rather than at the application. TigerBeetle bets that by collapsing the schema to accounts and transfers, batching aggressively, and committing through Viewstamped Replication consensus over Direct I/O, you can outpace a general-purpose database by orders of magnitude — at least for this single, critical use case.
Account and Transfer objects — every operation is a strongly-typed double-entry transfer that the database enforces atomically and durably.tb_client library written in Zig, so behavior is identical across SDKs.The most useful primary signal of developer sentiment is the long-running "TigerBeetle is a most interesting database" Hacker News thread and the various Show HN announcements that preceded it. The most consistently upvoted comments praise three things: the focus ("a database that does one thing instead of fifty"), the engineering writing on the company blog (the Tiger Style guide and the Viewstamped Replication walkthroughs are widely shared), and the quality of the Zig codebase. Recurring complaints are honest, too — the API is unfamiliar to anyone coming from a SQL background, the schema is intentionally rigid (you cannot add arbitrary columns), and benchmarking outside the batched happy-path can be misleading. One independent benchmark on a single Linux box found TigerBeetle was actually slower than Postgres on small, non-batched workloads — TigerBeetle's lead grows linearly with batch size and only really pulls away at ~1,000 transfers/batch.
On Reddit's r/programming and r/Database, TigerBeetle is now the default recommendation for engineers building ledgers from scratch and those who have hit the wall with Postgres-on-a-monolith for high-volume payment workloads. It is also a favorite citation in the InfoQ and Changelog podcast circuit, where Joran Dirk Greef's Changelog Interviews #635 appearance is one of the most-listened-to episodes of 2024–2025.
TigerBeetle is fully open source under the Apache 2.0 license — there is no "open core" or paywalled feature. The company's commercial offering is TigerBeetle Cloud, a managed cross-cloud deployment with automated disaster recovery and 24/7 SRE coverage; pricing is custom and quoted by the team based on cluster size and SLA requirements.
| Plan | Price | Key Inclusions |
|---|---|---|
| Self-hosted (open source) | $0 / forever | Full database, all clients, community Slack, MIT/Apache-licensed code |
| TigerBeetle Cloud | Contact sales | Managed multi-cloud cluster, automated DR, dedicated senior engineers, audit + compliance support |
| Enterprise | Contact sales | On-premises white-glove deployment, custom SLAs, on-site assistance |
Best for: Engineers building payment processors, neobanks, crypto exchanges, online-wallet ledgers, in-game economies, betting books, ticketing inventory, or any system where the core record is a double-entry transfer and where throughput and correctness both matter. Teams already comfortable running Postgres but hitting transaction-rate walls on a single ledger node are the canonical fit.
Not ideal for: CRUD applications, OLAP workloads, content management, or anyone who needs ad-hoc SQL queries against arbitrary user-defined columns. TigerBeetle is intentionally narrow — it is a state machine for transfers, not a general-purpose RDBMS, and reaching for it for the wrong workload will be painful.
Pros:
Cons:
The closest direct alternative is FormanceDB, an open-source ledger with a SQL-like DSL, which is friendlier for SQL-native teams but does not approach TigerBeetle's throughput. Postgres + a hand-rolled ledger (often using SELECT FOR UPDATE rows or partitioned per-account locks) is what most fintech teams use today; it works fine until it doesn't. YugabyteDB and CockroachDB are general-purpose distributed SQL stores that can host a ledger but were not designed specifically for it. For highly compliance-bound enterprises, ClickHouse is sometimes paired with TigerBeetle as the analytics layer alongside the transactional layer.
If you are building a system whose primary record is a financial transfer, TigerBeetle is now the default answer — and we score it 87/100. The 13 points we hold back are for the genuine narrowness of the API, the still-young Cloud product, and the meaningful learning curve for teams coming from SQL. If you are building anything else, run away — TigerBeetle is gloriously, uncompromisingly the wrong tool. That focus is also exactly why the project is one of the most exciting databases shipping in 2026.
The in-process SQL OLAP database — SQLite-style embedding, columnar speed, and 1.5.2 ships DuckLake 1.0 GA.
DatabasesA Redis-compatible in-memory data store engineered for 25× throughput on a single multi-core box.
DatabasesOpen-source vector database written in Rust for production-scale similarity search and RAG.
DatabasesThe modern, cross-platform SQL editor and database manager for 20+ databases.
Cleveland Clinic, RIKEN and IBM Simulate 12,635-Atom Trypsin — Largest Protein Ever on Quantum Hardware (May 5, 2026)
On May 5, 2026, scientists at Cleveland Clinic, RIKEN and IBM modelled a 12,635-atom trypsin–ligand complex on IBM Heron quantum processors paired with Fugaku and Miyabi-G — 40× larger than what the same workflow could handle six months ago, and the largest biologically meaningful molecule ever simulated on quantum hardware.
May 6, 2026
QuantWare Raises $178M Series B Led by Intel Capital, Unveils 10,000-Qubit VIO-40K Architecture (May 5, 2026)
Delft-based QuantWare announced a $178M Series B on May 5, 2026 — the largest private round ever raised by a dedicated quantum processor company — alongside VIO-40K, a modular architecture designed to scale superconducting QPUs to 10,000 qubits, 100x today's commercial state of the art.
May 6, 2026
Anthropic Ships 10 Claude Finance Agent Templates and Goes Live in Microsoft Excel, Word, PowerPoint (May 5, 2026)
Anthropic on May 5, 2026 released ten ready-to-run finance agent templates, embedded Claude inside Excel, Word, and PowerPoint via Microsoft 365 add-ins, and shipped a Moody's MCP app surfacing data on 600M+ companies — its biggest single push into Wall Street workflows yet.
May 6, 2026
Is this product worth it?
Built With
Compare with other tools
Open Comparison Tool →