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DBMS > Apache Kylin vs. atoti vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Tkrzw

System Properties Comparison Apache Kylin vs. atoti vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonatoti  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitekylin.apache.orgatoti.iowww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbdbmx.net/­tkrzw
Technical documentationkylin.apache.org/­docsdocs.atoti.iodocs.influxdata.com/­influxdblearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation, originally contributed from eBay IncActiveViamMicrosoftMikio Hirabayashi
Initial release2015201320142020
Current release3.1.0, July 20202.7.6, April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
hostedLinux
macOS
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infoJSON typesno
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.nonono
Secondary indexesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)Multidimensional Expressions (MDX)SQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresPythonnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoin enterprise version onlySharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engineyes infousing specific database classes
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelno
More information provided by the system vendor
Apache KylinatotiInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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