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| Started by | Kevin LaTona <lists@studiosola.com> |
|---|---|
| First post | 2013-06-17 22:55 -0700 |
| Last post | 2013-06-17 22:55 -0700 |
| Articles | 1 — 1 participant |
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Tonight's meeting + s Database link Kevin LaTona <lists@studiosola.com> - 2013-06-17 22:55 -0700
| From | Kevin LaTona <lists@studiosola.com> |
|---|---|
| Date | 2013-06-17 22:55 -0700 |
| Subject | Tonight's meeting + s Database link |
| Message-ID | <mailman.3508.1371535035.3114.python-list@python.org> |
First off what a fun meeting it was tonight with a great conversation. Let's do more of them. Next this is the link to that JSON Database I mentioned but could not recall the name on. http://www.rethinkdb.com/ RethinkDB overview RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn. See the highlights of RethinkDB Simple programming model: • JSON data model and immediate consistency. • Distributed joins, subqueries, aggregation, atomic updates. • Secondary, compound, and arbitrarily computed indexes. • Hadoop-style map/reduce. Easy administration: • Friendly web and command-line administration tools. • Takes care of machine failures and network interrupts. • Multi-datacenter replication and failover. Horizontal scalability: • Sharding and replication to multiple nodes. • Queries are automatically parallelized and distributed. • Lock-free operation via MVCC concurrency. RethinkDB compared to other databases: • Read the FAQ for information on architectural tradeoffs. • Find out how RethinkDB compares to MongoDB. • See our take on what makes RethinkDB different.
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