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DBMS > Warp 10

Warp 10 System Properties

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Editorial information provided by DB-Engines
NameWarp 10
DescriptionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#265  Overall
#15  Time Series DBMS
Websitewww.warp10.io
Technical documentationwww.warp10.io/­getting-started
DeveloperCityzen Data
Initial release2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0
Cloud-based infoOnly available as a cloud serviceno
Implementation languageJava
Server operating systemsLinux
OS X
Windows
Data schemeschema-free
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesno
SQL infoSupport of SQLno
APIs and other access methodsHTTP API
WebSocket
Server-side scripts infoStored proceduresyes infoWarpScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept

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More resources
Warp 10
Recent citations in the news

Warp, la technologie Big Data de Cityzen Data passe en Distribution Open Source - Decideo
5 February 2016, Big Data, Business Intelligence, Data Science

provided by Google News




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