Search Results for "big data visualization"

...It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. Redash supports a multitude of SQL and NoSQL data sources, and can be extended to support even more. Best of all it’s open source, so you can customize and add features to suit your organization’s needs perfectly.

Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....

OmniDB is an open source, collaborative web tool for database management focused on interactivity and ease of use, with a design that allows it to be both powerful and lightweight. OmniDB is a browser-based tool, which means it can be accessed on any platform with the browser as a medium. It features a responsive, single-page interface, a unified workspace, a smart and beautiful SQL editor and more. It currently supports Windows, Linux and OSX platforms, and the following DBMS: PostgreSQL,...

Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. ...

A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.

Set of tools and libs for managing structured data in a very flexible way: Imp./Exp. ASCII, XML, SQL, PS, Tex/LaTex, RTF GUI: X-Windows, MS-Windows Interface to C++, DBs, Perl, PHP, Java, TCP/IP LISP-like interpreter written in C++ using C-LIB

idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt

This is an implementation of the java DOM specification that keeps all its "parsed-node" data in disk files instead of RAM. This means you can create really big DOM trees an not use all your RAM.