Concourse is a self-tuning database that is designed for both ad hoc analytics and high volume transactions at scale. Developers use Concourse to quickly build mission critical software while also benefiting from real time insight into their most important data. With Concourse, end-to-end data management requires no extra infrastructure, no prior configuration and no additional coding–all of which greatly reduce costs and allow developers to focus on core business problems.
This is version 0.5.0 of Concourse.
Let's assume we have the an array of JSON objects that describe NBA players.
from concourse import *
data = [
{
"name": "Lebron James",
"age": 30,
"team": "Cleveland Cavaliers"
},
{
"name": "Kevin Durant",
"age": 26,
"team": "OKC Thunder"
},
{
"name": "Kobe Bryant",
"age": 36,
"team": "LA Lakers"
}
]You can use Concourse to quickly insert the data and do some quick analysis. Notice that we don't have to declare a schema, create any structure or configure any indexes.
concourse = Concourse.connect()
records = concourse.insert(data) # each object is added to a distinct record
lebron = records[0]
durant = records[1]
kobe = records[2]concourse.get(key="age", record=kobe)
concourse.add(key="name", value="KD", record=durant)
concourse.remove(key="jersey_number", value=23, record=lebron)You can easily find records that match a criteria and select the desired since everything is automatically indexed.
concourse.select(criteria="team = Chicago Bulls")
concourse.select(keys=["name", "team"], criteria="age bw 22 29")concourse.get(key="age", record=durant, time="04/2009")
concourse.find("team = Chicago Bulls at 2011")
concourse.select(criteria="age > 25 and team != Chicago Bulls", time="two years ago")# Analyze how data has changed over time and revert to previous states
concourse.audit(key="team", record=lebron)
concourse.revert(key="jersey_number", record=kobe, time="two years ago")concourse.stage()
try:
concourse.set(key="current_team", value="OKC Thunder", record=lebron)
concourse.set(key="current_team", value="Cleveland Cavs", record=durant)
concourse.commit()
except TransactionException:
concourse.abort()You can find more examples in the examples directory. More information is also available in the Concourse Guide and API documentation.
Whether you use SQL or NoSQL, it's hard to get real-time insight into your mission critical data because most systems are only optimized for either transactions or analytics, not both. As a result, end-to-end data management requires complex data pipelining, which slows down development, complicates infrastructure and increases costs.
Concourse is an integrated and self-managing transactional database that enables real time ad-hoc analytics without any configuration.
You no longer need to plan queries in advance because Concourse automatically indexes all of your data while guaranteeing constant time writes that are super fast. Concourse fully supports ad-hoc range and predicate queries and automatically caches frequently requested data for optimal performance.
Concourse automatically tracks changes to your data, just like Git does for source code. Of course this means that you can easily audit changes and revert to previous states without downtime; but it also means that you have the power to query data from the past. Version control in Concourse makes it possible to build applications that know what was known when and can analyze real-time changes over time.
Concourse supports truly distributed ACID transactions without restriction. And we use dynamic resource management with just-in-time locking to ensure that they deliver both the highest performance and strongest consistency. So no need to guess when your data will eventually become consistent. When distributed Concourse responds to a query, you can trust the results immediately.
Concourse's document-graph structure is lightweight and flexible–it supports any kind of data and very large scales. Data about each person, place or thing is stored in a record, which is simply a collection of key/value pairs. And you can create links among records to easily model all the relationships within your data.
Since Concourse makes very few assumptions about data, it integrates with your application seamlessly and never needs a translator (goodbye object-relational impedance mismatch)! You never have to declare structure up front–no schema, tables, or indexes–or specify value types because Concourse is smart enough to figure it out. Concourse dynamically adapts to your application so that you can focus on building value without having to drag the database along.
Concourse supports rich full text search right out the box, so you don't need to deploy an external search server. Data is automatically indexed and searchable in real-time without ever diminishing write performance. In Concourse, you can always perform as-you-type searches that match full or partial terms.
- At least 256 MB of available memory
- Linux or OS X
- Java 1.7+
Concourse will be maintained under the Semantic Versioning
guidelines such that release versions will be formatted as <major>.<minor>.<patch>
where
- breaking backward compatibility bumps the major,
- new additions while maintaining backward compatibility bumps the minor, and
- bug fixes or miscellaneous changes bumps the patch.
Read the contributing guidelines to learn how to get involved in the community. We value and welcome constructive contributions from anyone regardless of skill level :)
- Jeff Nelson
Copyright © 2013-2015 Cinchapi Inc.
Concourse is released under the Apache License, Version 2.0. For more information see LICENSE, which is included with this package.