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DBMS > Apache Druid vs. NSDb vs. PouchDB vs. TDSQL for MySQL

System Properties Comparison Apache Druid vs. NSDb vs. PouchDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNSDb  Xexclude from comparisonPouchDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitedruid.apache.orgnsdb.iopouchdb.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdruid.apache.org/­docs/­latest/­designnsdb.io/­Architecturepouchdb.com/­guideswww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation and contributorsApache Software FoundationTencent
Initial release2012201720122013
Current release29.0.1, April 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaJavaScript
Server operating systemsLinux
OS X
Unix
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringnoyes
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.nononono
Secondary indexesyesall fields are automatically indexedyes infovia viewsyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Scala
JavaScriptC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infowith a proxy-based framework, named couchdb-loungeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUsers with fine-grained authorization concept

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More resources
Apache DruidNSDbPouchDBTDSQL for MySQL
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