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DBMS > Apache Pinot vs. IRONdb vs. OrigoDB vs. SWC-DB

System Properties Comparison Apache Pinot vs. IRONdb vs. OrigoDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
IRONdb 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 simplicityA fully ACID in-memory object graph databaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitepinot.apache.orgwww.circonus.com/solutions/time-series-database/origodb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.pinot.apache.orgdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docs
DeveloperApache Software Foundation and contributorsCirconus LLC.Robert Friberg et alAlex Kashirin
Initial release201520172009 infounder the name LiveDB2020
Current release1.0.0, September 2023V0.10.20, January 20180.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#C++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsUser defined using .NET types and collections
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 infocan be achieved using .NETno
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsJDBCHTTP API.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
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
.NetC++
Server-side scripts infoStored proceduresyes, in Luayesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replication
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 integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole based authorization

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More resources
Apache PinotIRONdbOrigoDBSWC-DB infoSuper Wide Column Database
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