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DBMS > Apache Druid vs. GeoSpock vs. IRONdb vs. Riak TS

System Properties Comparison Apache Druid vs. GeoSpock vs. IRONdb vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonRiak TS  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 simplicityRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitedruid.apache.orggeospock.comwww.circonus.com/solutions/time-series-database/
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation and contributorsGeoSpockCirconus LLC.Open Source, formerly Basho Technologies
Initial release201220172015
Current release29.0.1, April 20242.0, September 2019V0.10.20, January 20183.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC and C++Erlang
Server operating systemsLinux
OS X
Unix
hostedLinuxLinux
OS X
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsno
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 indexesyestemporal, categoricalnorestricted
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)yes, limited
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP APIHTTP API
Native Erlang Interface
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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes, in LuaErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter awareselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
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 tablenono

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More resources
Apache DruidGeoSpockIRONdbRiak TS
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