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DBMS > Apache Doris vs. Apache Pinot vs. Atos Standard Common Repository vs. DuckDB vs. Ignite

System Properties Comparison Apache Doris vs. Apache Pinot vs. Atos Standard Common Repository vs. DuckDB vs. Ignite

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDuckDB  Xexclude from comparisonIgnite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, in-process, column-oriented SQL OLAP RDBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
pinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryduckdb.orgignite.apache.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.pinot.apache.orgduckdb.org/­docsapacheignite.readme.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsAtos Convergence CreatorsApache Software Foundation
Initial release20172015201620182015
Current release1.2.2, February 20231.0.0, September 202317031.0.0, June 2024Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++C++, Java, .Net
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinuxserver-lessLinux
OS X
Solaris
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.noyesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
MySQL client
JDBCLDAPArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaGo
Java
Python
All languages with LDAP bindingsC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnoSecurity Hooks for custom implementations

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More resources
Apache DorisApache PinotAtos Standard Common RepositoryDuckDBIgnite
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