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DBMS > Apache Pinot vs. IRONdb vs. JSqlDb vs. Tkrzw

System Properties Comparison Apache Pinot vs. IRONdb vs. JSqlDb vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonIRONdb  Xexclude from comparisonJSqlDb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript Query Language Database, stores JavaScript objects and primitivesA 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 DBMSTime Series DBMSDocument store
Object oriented DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitepinot.apache.orgwww.circonus.com/solutions/time-series-database/jsqldb.org (offline)dbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsCirconus LLC.Konrad von BackstromMikio Hirabayashi
Initial release2015201720182020
Current release1.0.0, September 2023V0.10.20, January 20180.8, December 20180.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsnono
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 indexesnono
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJDBCHTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luafunctions in JavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlnono

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More resources
Apache PinotIRONdbJSqlDbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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StarTree broadly enhances Apache Pinot-based analytics platform
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8 May 2024, Datanami

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