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DBMS > Apache Pinot vs. Quasardb vs. ReductStore vs. STSdb

System Properties Comparison Apache Pinot vs. Quasardb vs. ReductStore vs. STSdb

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonQuasardb  Xexclude from comparisonReductStore  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed, high-performance timeseries databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitepinot.apache.orgquasar.aigithub.com/­reductstore
www.reduct.store
github.com/­STSSoft/­STSdb4
Technical documentationdocs.pinot.apache.orgdoc.quasar.ai/­masterwww.reduct.store/­docs
DeveloperApache Software Foundation and contributorsquasardbReductStore LLCSTS Soft SC
Initial release2015200920232011
Current release1.0.0, September 20233.14.1, January 20241.9, March 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBusiness Source License 1.1Open Source infoGPLv2, commercial license available
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++C++, RustC#
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infoprimitive types and user defined types (classes)
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.no
Secondary indexesyes infowith tagsno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBCHTTP APIHTTP API.NET Client API
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
JavaScript (Node.js)
Python
Rust
C#
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlCryptographically strong user authentication and audit trailno

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More resources
Apache PinotQuasardbReductStoreSTSdb
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