Displaying 1 to 18 from 18 results

sql.js - SQLite compiled to JavaScript through Emscripten

sql.js is a port of SQLite to JavaScript, by compiling the SQLite C code with Emscripten. It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a javascript typed array. There is no C bindings or node-gyp compilation here, sql.js is a simple javascript file, that can be used like any traditional javascript library. If you are building a native application in javascript (using Electron for instance), or are working in node.js, you will likely prefer to use a native binding of SQLite to javascript.

jDBI - Provides convenient tabular data access in Java

The Jdbi library provides convenient, idiomatic access to relational databases in Java. Jdbi is built on top of JDBC. If your database has a JDBC driver, you can use Jdbi with it. It uses the Java collections framework for query results, provides a convenient means of externalizing sql statements, and provides named parameter support for any database being used.

VoltDB - Fast Scalable SQL DBMS with ACID

VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting.

InfiniDB - Scale-up analytics database engine for data warehousing and business intelligence

InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.

LucidDB - RDBMS built entirely for Data Warehousing and Business Intelligence

LucidDB is the RDBMS built entirely for data warehousing and business intelligence. It is based on architectural cornerstones such as column-store, bitmap indexing, hash join/aggregation, and page-level multi versioning. Every component of LucidDB was designed with the requirements of flexible, high-performance data integration and sophisticated query processing in mind.

H2 Database - Java based Database Engine

H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.

HyperSQL - Java Database

HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes. It is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2008. It alsi supports transaction isolation, multiversion concurrency and ACID, Java stored procedures, Scalability and lot more.


Java DB is Sun's supported distribution of the open source Apache Derby 100% Java technology database. It is fully transactional, secure, easy-to-use, standards-based — SQL, JDBC API, and Java EE — yet small, only 2.5 MB.

Metakit - embedded database library with small footprint

Metakit is an embedded database library with a small footprint. It fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution

kibi - Kibi is a friendly - kept in sync - Kibana fork which add support for joins across indexes and external sources, tabbed navigation interface and more

Kibi extends Kibana 5.5.2 with data intelligence features; the core feature of Kibi is the capability to join and filter data from multiple Elasticsearch indexes and from SQL/NOSQL data sources ("external queries").In addition, Kibi provides UI features and visualizations like dashboard groups, tabs, cross entity relational navigation buttons, an enhanced search results table, analytical aggregators, HTML templates on query results, and much more.

jcabi-jdbc - Fluent Wrapper of JDBC

jcabi-jdbc is a lightweight wrapper of JDBC. It is very convenient to use when you don't need a full-scale ORM (like Hibernate), but want just to select, insert, or update a few rows in a relational database.

monarch - A client-side relational modeling framework

Monarch is a relational modeling framework for client-centric web applications. It's superficially similar to Backbone.js, but it uses the relational algebra as a declarative, compositional language for querying data and subscribing to events. Monarch is written in CoffeeScript, but can also be used from JavaScript. Monarch associates model constructors with tables in an in-memory relational database. On the surface, the API resembles ActiveRecord.

level-assoc - relational foreign key associations (hasMany, belongsTo) for leveldb

To get a stream of live results, just use the .live() function instead of .list().This example prints out all of the new records associated with the entire list of hackerspaces with names greater than or equal to "sudoroom", but only the new live entries.

level-join - join leveldb documents based on common nested values

we can populate the database with db.batch() and then join each output's job property with a matching commit id property. This is like a foreign key in an SQL database, except that it can be arbitrarily nested.Note that the results are not grouped or sorted. A grouping and sorting module could be of use here.

hash-join - compute hash joins on streaming collections

Create a new 2-way join r from the hashing functions a and b.Hashing functions should return falsy values if they don't match and otherwise should return the string id they should hash into.

foreign-key - group and reduce rows for foreign key relations for sorted key-value stores like leveldb

Create a new foreign key instance g that pivots on the rows matching primaryFilter.Insert rows matching filter into rows matching primaryFilter at the location into primary rows targetKey.

myelin - A controller for Backbone, linking Models to Views

For a quick example of how myelin works, check here. Any changes to the "user" input field will update the "user" attribute on the model, and any change to the "message" attribute of the model will be reflected in the message span.