The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
H2 Alternatives
Similar projects and alternatives to H2
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mitmproxy
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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CouchDB
Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability
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Thymeleaf
Thymeleaf is a modern server-side Java template engine for both web and standalone environments.
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ArangoDB
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
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Kotest
Powerful, elegant and flexible test framework for Kotlin with additional assertions, property testing and data driven testing
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MapDB
MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
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JetBrains Xodus
Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub. (by JetBrains)
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http4k
The Functional toolkit for Kotlin HTTP applications. http4k provides a simple and uniform way to serve, consume, and test HTTP services.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
H2 reviews and mentions
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H2 Database – CVE getting flagged by automated scans
The URL should point to a particular comment, but HN removes fragments: https://github.com/h2database/h2database/issues/3686#issueco...
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“Our paying customers need X, when will you fix it?”
This sounds very much like the idiocy of "infosec" lunkheads who know nothing about what they're "fixing" but if an automated system tells them a CVE exists, they've absolutely got to have it "patched". They don't look into what the claims of the CVE are, or whether their specific use case is vulnerable. They don't know, they don't care, they're not even programmers. All they know is a box needs ticking.
A similar thing happened with h2database - a "security researcher" found that if you do something you're told not to do, then bad things happen.. but they demanded and got a CVE allocated anyway. Anyone who looks at it realises it's bullshit, but the mere existence of a CVE is all that matters to these idiots.
What the h2database developer said about it: https://github.com/h2database/h2database/issues/3686#issueco...
> I struggle to understand why I should feel the slightest shred of sympathy for "major corporations" that are using a volunteer-developed open-source project. Feel free to get your corporation to pay someone to deal with this, or pay for a similar commercial library.
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SQLite Internals: How the Most Used Database Works
> ...than it would be to learn the exact syntax and quirks and possibly bugs of someone else's implementation...
Yup. Also, having deep knowledge of the language is required.
SQLite's grammar is neat. Creating a compatible parser would make a fun project. Here's a pretty good example: https://github.com/bkiers/sqlite-parser (Actual ANTLR 4 grammar: https://github.com/bkiers/sqlite-parser/blob/master/src/main... )
Postgres, which tries to be compliant with the latest standards, however...
SQL-2016 is a beast. Not to mention all the dialects.
I'm updating my personal (soon to be FOSS) grammar from ANTLR 3 LL(k) to ANTLR 4 ALL().
I've long had a working knowledge of SQL-92, with some SQL-1999 (eg common table expressions).
But the new structures and extensions are a bit overwhelming.
Fortunately, ANTLR project has ~dozen FOSS grammars to learn from. https://github.com/antlr/grammars-v4/tree/master/sql
They mostly mechanically translate BNFs to LL(k) with some ALL(). Meaning few take advantage of left-recursion. https://github.com/antlr/antlr4/blob/master/doc/left-recursi...
Honestly, I struggled to understand these grammars. Plus, not being conversant with the SQL-2016 was a huge impediment. Just finding a succinct corbis of test cases was a huge hurdle for me.
Fortunately, the H2 Database project is a great resource. https://github.com/h2database/h2database/tree/master/h2/src/...
Now for the exciting conclusion...
My ANTLR grammar which passes all of H2's tests looks nothing like any of the official or product specific BNFs.
Further, I found discrepancy between the product specific BNFs and their implementations.
So a lot of trial & error is required for a "real world" parser. Which would explain why the professional SQL parsing tools charge money.
I still think creating a parser for SQLite is a great project.
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Database of Databases
H2 - Free, Embedded & Open source
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🎀 Spring Boot 2.7.0 Released
H2 2.1
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How is the market for Kotlin developers where you live?
H2 for mocking relational database connections
- Ask HN: Who wants to be hired? (December 2021)
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Best Database option for a Swing application
It's open-source and written in Java, so you can even create custom procedures and register them straight in your application!
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Reliable WebSockets-based pub/sub with Spring Boot
Firstly, let's set up a basic Spring Boot application. We can use the Spring Initializr with Spring Data JPA, H2 Database, Lombok added. H2 Database will provide us with a simple database, and Spring Data JPA will allow us to easily interact with it using Hibernate. Lombok will make it easier to write concise and readable classes.
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Why are tar.xz files 15x smaller when using Python's tar compared to macOS tar?
Sorting chunks by similarity: commonly used tools don't do that. Most archive tools only sort by file type.
I wrote a tool that chunks the data (into variable-sized blocks, to re-sync if there are multiple files that have different length prefixes, but that's another story), and then sorts the chunks by LSH (locality sensitive hash). LSH is used by search engines to detect similar text. It can compress directories that contain multiple version of e.g. source code very well (e.g. trunk, branches). https://github.com/h2database/h2database/blob/master/h2/src/...
I discussed this approach with a researcher in this area in January 2020. AFAIK there is active research in this area, specially to compress DNA sequences. But he also wasn't aware of papers or research in this area for general-purpose data compression.
So, I think this area is largely uncharted. I would be interested (as a hobby side project) to help, if somebody is interested.
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
h2database/h2database is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of H2 is Java.