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DBMS > Apache Druid vs. PouchDB vs. STSdb vs. VoltDB

System Properties Comparison Apache Druid vs. PouchDB vs. STSdb vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value storeRelational 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
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitedruid.apache.orgpouchdb.comgithub.com/­STSSoft/­STSdb4www.voltdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designpouchdb.com/­guidesdocs.voltdb.com
DeveloperApache Software Foundation and contributorsApache Software FoundationSTS Soft SCVoltDB Inc.
Initial release2012201220112010
Current release29.0.1, April 20247.1.1, June 20194.0.8, September 201511.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open SourceOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC#Java, C++
Server operating systemsLinux
OS X
Unix
server-less, requires a JavaScript environment (browser, Node.js)WindowsLinux
OS X infofor development
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesyesyes infovia viewsnoyes
SQL infoSupport of SQLSQL for queryingnonoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScriptC#
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infowith a proxy-based framework, named couchdb-loungenoneSharding
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
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoUsers and roles with access to stored procedures

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More resources
Apache DruidPouchDBSTSdbVoltDB
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