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DBMS > Apache Doris vs. Greenplum vs. InfluxDB vs. Oracle NoSQL vs. Spark SQL

System Properties Comparison Apache Doris vs. Greenplum vs. InfluxDB vs. Oracle NoSQL vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGreenplum  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.DBMS for storing time series, events and metricsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
greenplum.orgwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­nosql/­technologies/­nosqlspark.apache.org/­sql
Technical documentationgithub.com/­apache/­doris/­wikidocs.greenplum.orgdocs.influxdata.com/­influxdbdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation, originally contributed from BaiduPivotal Software Inc.OracleApache Software Foundation
Initial release20172005201320112014
Current release1.2.2, February 20237.0.0, September 20232.7.6, April 202423.3, December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaScala
Server operating systemsLinuxLinuxLinux
OS X infothrough Homebrew
Linux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeyesyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsoptionalyes
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.noyes infosince Version 4.2nonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesSQL-like query languageSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
HTTP API
JSON over UDP
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJavaC
Java
Perl
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoin enterprise version onlyShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infoin enterprise version onlyElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage engineyes infooff heap cacheno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
Apache DorisGreenplumInfluxDBOracle NoSQLSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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