DBMS > Apache Pinot vs. ArcadeDB vs. Atos Standard Common Repository vs. Riak TS

System Properties Comparison Apache Pinot vs. ArcadeDB vs. Atos Standard Common Repository vs. Riak TS

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Editorial information provided by DB-Engines
Name	Apache Pinot  Xexclude from comparison	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Riak TS  Xexclude from comparison
			This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Relational DBMS	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.38 Rank #275   Overall #126   Relational DBMS	Score 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS		Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	pinot.apache.org	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentation	docs.pinot.apache.org	docs.arcadedb.com		www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Apache Software Foundation and contributors	Arcade Data	Atos Convergence Creators	Open Source, formerly Basho Technologies
Initial release	2015	2021	2016	2015
Current release	1.0.0, September 2023	September 2021	1703	3.0.0, September 2022
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache Version 2.0	commercial	Open Source
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	Java	Erlang
Server operating systems	All OS with a Java JDK11 or higher	All OS with a Java VM	Linux	Linux OS X
Data scheme	yes	schema-free	Schema and schema-less with LDAP views	schema-free
Typing predefined data types such as float or date	yes	yes	optional	no
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.		no	yes	no
Secondary indexes		yes	yes	restricted
SQL Support of SQL	SQL-like query language	SQL-like query language, no joins	no	yes, limited
APIs and other access methods	JDBC	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	HTTP API Native Erlang Interface
Supported programming languages	Go Java Python	Java	All languages with LDAP bindings	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures			no	Erlang
Triggers			yes	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning		Sharding cell division	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		Source-replica replication	yes	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		no		yes
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency
Foreign keys Referential integrity		yes relationship in graphs	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		ACID	Atomic execution of specific operations	no
Concurrency Support for concurrent manipulation of data		yes	yes	yes
Durability Support for making data persistent		yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			yes
User concepts Access control			LDAP bind authentication	no
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More resources
	Apache Pinot	ArcadeDB	Atos Standard Common Repository	Riak TS
Recent citations in the news	StarTree broadly enhances Apache Pinot-based analytics platform 8 May 2024, SiliconANGLE News StarTree Finds Apache Pinot the Right Vintage for IT Observability 8 May 2024, Datanami Real-Time Analytics for Mobile App Crashes using Apache Pinot 2 November 2023, Uber Apache Pinot - SD Times Open Source Project of the Week 31 May 2024, SDTimes.com Open source Apache Pinot advances as StarTree boosts real-time analytics and observability 8 May 2024, VentureBeat provided by Google News			New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News

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