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DBMS > Citus vs. Warp 10 vs. YDB

System Properties Comparison Citus vs. Warp 10 vs. YDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonWarp 10  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#117  Overall
#57  Relational DBMS
Score0.06
Rank#355  Overall
#35  Time Series DBMS
Score0.38
Rank#269  Overall
#43  Document stores
#124  Relational DBMS
Websitewww.citusdata.comwww.warp10.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.citusdata.comwww.warp10.io/­content/­02_Getting_startedydb.tech/­en/­docs
DeveloperSenXYandex
Initial release201020152019
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache License 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoWarpScriptno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizationsAccess rights defined for Yandex Cloud users

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More resources
CitusWarp 10YDB
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