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DBMS > Apache Druid vs. GeoSpock vs. IRONdb vs. PouchDB vs. Stardog

System Properties Comparison Apache Druid vs. GeoSpock vs. IRONdb vs. PouchDB vs. Stardog

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonPouchDB  Xexclude from comparisonStardog  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript DBMS with an API inspired by CouchDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsTime Series 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
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitedruid.apache.orggeospock.comwww.circonus.com/solutions/time-series-database/pouchdb.comwww.stardog.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidesdocs.stardog.com
DeveloperApache Software Foundation and contributorsGeoSpockCirconus LLC.Apache Software FoundationStardog-Union
Initial release2012201720122010
Current release29.0.1, April 20242.0, September 2019V0.10.20, January 20187.1.1, June 20197.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC and C++JavaScriptJava
Server operating systemsLinux
OS X
Unix
hostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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 infoImport/export of XML data possible
Secondary indexesyestemporal, categoricalnoyes infovia viewsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)noYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in LuaView functions in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingAutomatic, metric affinity per nodeSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter awareMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablenonoAccess rights for users and roles

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More resources
Apache DruidGeoSpockIRONdbPouchDBStardog
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