METAKIT is a curious mix of flatfile, relational and OODBMS features with a
small footprint, and a big following. For those who don't need a heavy-duty
SQL solution, it is tight and fast for <100,000 items, with a snazzy ability
to dynamically change data structures on the fly. Interfaces are available
for Tcl and Python, with Perl support promised soon.
Mongo (from "humongous") is a high-performance, open source,
schema-free, document-oriented database. A common name in the
"NOSQL" community.
Since MongoDB 3.2, the tools bsondump, mongoimport, mongoexport, mongodump,
mongorestore, mongostat, mongofiles, mongooplog and mongotop have been placed
in a separate package and rewritten in Go. These are useful utilities for
managing a MongoDB instance.
Bullet Cache is a memory database intended to be used much like memcached,
but offering much higher flexibility through use of record tags which can be
used to perform bulk operations on sets of records.
This port contains the PHP client module for Bullet Cache.
mrtg-mysq-load is a small Perl script which is meant
to be run by mrtg. It will fetch the total number of queries
and slow queries handled by a mysql server.
pgFouine is a PostgreSQL log analyzer used to generate detailed reports
from a PostgreSQL log file. pgFouine can help you to determine which
queries you should optimize to speed up your PostgreSQL based
application.
It is pretty easy to gather status information from all sorts of things,
ranging from the temperature in your office to the number of octets which
have passed through the FDDI interface of your router. But it is not so
trivial to store this data in a efficient and systematic manner. This is
where RRDtool kicks in. It lets you log and analyze the data you gather from
all kinds of data-sources. The data analysis part of RRDtool is based
on the ability to quickly generate graphical representations of the data
values collected over a definable time period.
mtop (MySQL top) monitors a MySQL server showing the queries which are taking
the most amount of time to complete. Features include 'zooming' in on a process
to show the complete query, 'explaining' the query optimizer information for a
query and 'killing' queries. In addition, server performance statistics,
configuration information, and tuning tips are provided.
mkill (MySQL kill) monitors a MySQL server for long running queries and kills
them after a specified time interval. Queries can be selected based on regexes
on the user, host, command, database, state and query.
Flixible tool for inserting data from DBF into MySQL.