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DBMS > Apache Pinot vs. ArangoDB vs. IRONdb

System Properties Comparison Apache Pinot vs. ArangoDB vs. IRONdb

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonArangoDB  Xexclude from comparisonIRONdb  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 latencyNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#248  Overall
#117  Relational DBMS
Score2.85
Rank#88  Overall
#14  Document stores
#4  Graph DBMS
#13  Key-value stores
#9  Search engines
Websitepinot.apache.orgarangodb.comwww.circonus.com/solutions/time-series-database/
Technical documentationdocs.pinot.apache.orgdocs.arangodb.comdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsArangoDB Inc.Circonus LLC.
Initial release201520122017
Current release1.0.0, September 20233.11.5, November 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes infotext, numeric, histograms
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 indexesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBCAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP API
Supported programming languagesGo
Java
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresJavaScriptyes, in Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infosince version 2.0Automatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyes inforelationships in graphsno
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesno

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More resources
Apache PinotArangoDBIRONdb
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS
13 March 2025, Amazon Web Services (AWS)

Microsoft Warns of Attackers Exploiting Misconfigured Apache Pinot Installations
6 May 2025, SecurityWeek

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13 December 2024, The New Stack

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30 May 2023, PRWeb

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNET

ArangoDB advances graph database fortunes with new funding
6 October 2021, TechTarget

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23 June 2019, Business Insider

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