Search Results for "memory database"

HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2023. A small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multiversion concurrency and ACID.

Milkman is heavily inspired by Postman. But I got sick of all those electron-based applications that need ages and loads of memory to start up. Therefore, this is a JavaFx-based workbench for crafting requests/responses. It is not limited to e.g. HTTP (or more specifically rest) requests. Due to nearly everything being a plugin, other things are possible, like database requests or GRPC, GraphQl, etc. Request-types (e.g. Http Request), request-aspects (e.g. Headers, Body, etc), editors for request aspects (e.g. table-based editors for headers), importers, whatever it is, you can extend it. ...

JAMon API is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor the performance and scalability of production applications. JAMon tracks hits, execution times (total, avg, min, max, std dev), and more. * JAMon Users Manual: For more on the JAMon, including installing, configuring, and using it, see http://jamonapi.sourceforge.net/. * Support: If you have any questions about usage please post a question on the forum at ...

XOWA is a desktop application for reading and editing Wikipedia offline (XOWA has moved to http://gnosygnu.github.io/xowa/download.html)

Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of...

...If you need a fast Geo IP service - made in Java. Then this is the project. It takes 30 sec to compile. 10 minutes to download the data files. 5-15 minutes to build the "jwhois / java" - data file for in memory database. 3 secs to startup and read the in memory database after restart. 0.0001 ms to make a lookup!!! B) RipeIpService.lookUp( IP - address) gives "All info like whois command" (Just only for RIPE's IPs - not all IP-addresses in the world) Is only tested on Linux and Mac. But with the source code, it should not be hard to change the path's to Windows. ...

Nalasys is a natural language system that allows users to specify instructions to the computer in natural language. By defining words with intrinsic data the system recognizes, a user will be able to program a system using his own words. For now the system can use several programmatic languages like SQL, Javascript, Groovy or JSP expression language. It also has a default language with no keywords where you can add words defined with objects in memory or from other languages.

TinyJEE is a zero conf, zero maintenance embeddable platform that has the major goal make the usage of JEE as easy as working with GRAILS while following a component oriented approach with minimized dependencies and main focus on POJO and Java config

WURFL Java API using Jaxb 1.0.4. This new wurfl access api has more features than the other one. Uses less memory to store the data using the hierarchy levels for the different devices and faster searches, allowing the user also filter the xml.

The most powerful non-commercial translation memory software (TM tool) with enhanced capabilities, like networking/collaboration (http, rpc), encoding conversion, project management capabilities, email capability with attachments, file tree diff etc.

PerPojo combines Pojos (Plain old java objects) and persistence without the need of a database or something like this. It caches all objects in memory and save them to a file using serialization.

A semantic memory software tool “reflects” one's “imagination”. In it, arbitrary concepts may be described, stored, arranged, transformed, and shared. One may verbalize thoughts as they arise in the mind to externalize and digitize “mental obj