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DBMS > Apache Doris vs. Google Cloud Bigtable vs. KairosDB vs. SQL.JS vs. Warp 10

System Properties Comparison Apache Doris vs. Google Cloud Bigtable vs. KairosDB vs. SQL.JS vs. Warp 10

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKairosDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Time Series DBMS based on Cassandra or H2Port of SQLite to JavaScriptTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­bigtablegithub.com/­kairosdb/­kairosdbsql.js.orgwww.warp10.io
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­bigtable/­docskairosdb.github.iosql.js.org/­documentation/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation, originally contributed from BaiduGoogleAlon Zakai infoenhancements implemented by othersSenX
Initial release20172015201320122015
Current release1.2.2, February 20231.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJava
Server operating systemsLinuxhostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononono
Secondary indexesyesnonono
SQL infoSupport of SQLyesnonoyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Graphite protocol
HTTP REST
Telnet API
JavaScript APIHTTP API
Jupyter
WebSocket
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnononoyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on CassandranoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandranoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DorisGoogle Cloud BigtableKairosDBSQL.JSWarp 10
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