Open Source Big Data Tools

pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. pandas is continuously being developed to be a fundamental high-level building block for doing practical, real world data analysis in Python, as well as powerful and flexible open source data analysis/ manipulation tool for any language.

Big Sack is a Java persistence mechanism that allows storage of key value pairs following the popular Big Data paradigms. Its a very simple and straightforward way to bridge the gap between in-memory data structures and long-term storage. It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. Data storage in the exabyte range is possible using filesystem and/or memory-mapped IO. Three levels of configurable write-through caching at different granularities ensure performance.

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. You can use it too. Who doesn't have `just too many' log files? Occursions asynchronously tails log files and indexes the individual lines in each log file as each line is written to disk so you don't even have to wait for a second after an event happens to search for it. Occursions uses custom disk backed data structures to create and search its indexes so it is very efficient at using CPU, memory and disk. You can extend Occursions with shared libraries to support your own file formats, even binary file formats!