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pietermartin
thundergraph
Java2015–2018
pietermartin / thundergraph

thundergraph

tinkerpop blueprints graphdb on top on lmdb

2Distinct people
2Mentions
0Explicit recommenders
20GitHub stars
REPOSITORY AT A GLANCE

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tinkerpop blueprints graphdb on top on lmdb

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Where it is used

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What people are saying

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2015-09-01 03:34:46 UTC to 2018-06-17 09:56:59 UTC.

012015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
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PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101

What Hacker News says

2 sources
At this point I really have to wonder how many people have written graph engines on top of lmdb! In the past month I've seen two from the same bank built on top of lmdbjava. Instead of reinventing this same wheel over and over it'd probably make sense for somebody to sitdown with lmdb and tinkerpop [1] and bang out one decent implementation. ...actually this has been done [2] but the project looks abandoned. So NSA guys you should get right on this. [1] http://tinkerpop.apache.org/docs/current/reference/ [2] https://github.com/pietermartin/thundergraph
In LemonGraph – A log-based transactional graph
Eh, you're right on some and wrong on many other points. An embedded key-value store can be a good foundation for an RDBMS - or many other data models. The OpenLDAP Project used BerkeleyDB for more than 15 years. BerkeleyDB architects still point to OpenLDAP as a reference standard for transactional BDB code. http://www.bozemanpass.com/services/bdb.html As the primary author of OpenLDAP's BDB support, and of the LMDB library which now supersedes BDB, I've got quite a deep perspective into this topic. BDB is deadlock-prone, no argument there. But that doesn't mean the embedded engine approach can't work. LMDB is deadlock-proof, and serves perfectly well as the engine for an RDBMS as well as the engine for a hierarchical DB (X.500/LDAP directory), or arbitrary graphs (http://sph.io/content/2faf , https://github.com/pietermartin/thundergraph
Read the rest
, etc...) etc. When you start with a model-less key/value store you can implement any other data model on top. LMDB's robustness is, in a word, flawless. It's crash-proof by design and multiple independent researchers have borne out the integrity of that design. (https://www.usenix.org/conference/osdi14/technical-sessions/... https://www.usenix.org/conference/osdi14/technical-sessions/... ) Your assertion that you can't build a robust multi-client system in a lightweight embedded system is flat wrong. In fact, this approach is the only way to get maximum performance from a software system. LMDB is so much faster than every other data management mechanism in existence, nothing else even comes close. http://symas.com/mdb/#bench Crap tools, crap locking - these are certainly weaknesses in BDB's locking design. LMDB's locking design doesn't have these weaknesses. Querying the size of the DB is an O(1) operation, simply reading a few words out of the DB header. Underdocumentation - I have no idea what you're talking about here. To me, BDB was copiously documented, and I largely owe my understanding of transactional systems to the BDB documentation. Yes, BDB is complicated and has too many moving parts. LMDB doesn't have this flaw either. But I can't take anyone seriously who says BDB was underdocumented. C++ interface - I don't use C++, so no comment here. C >> C++. SQLite on BDB - yes, it's a joke. I've run it, and the performance is pretty awful. But we do far better. https://github.com/LMDB/sqlightning There are many positive and negative lessons in software design to be learned from Berkeley DB. It really started life as a test bed, for learning. In that, I think it succeeded admirably. Its authors were able to experiment with extensible hashing, B+trees, ARIES logging, and a multitude of other important software architecture and data management concepts. LMDB owes much of its design to lessons learned from BDB. LMDB's use of a read-only memory map by default means you can safely allow multi-client access without fearing corruption due to memory bugs. LMDB's exclusive use of mmap instead of complex application-level caching means you avoid all of the horrors of BDB's cache tuning, bloat driving into swap space, and other admin/tuning nightmares. LMDB's crash-proof persistent on-disk format means you don't need to worry about error-prone and inherently unreliable transaction logging mechanisms. All of these features are part of the LMDB design because of our experience working with BDB over the past 15+ years.
In Berkeley DB: Architecture

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