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DBMS > Apache Phoenix vs. LMDB vs. openGauss vs. Spark SQL

System Properties Comparison Apache Phoenix vs. LMDB vs. openGauss vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonLMDB  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA high performant, light-weight, embedded key-value database libraryAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitephoenix.apache.orgwww.symas.com/­symas-embedded-database-lmdbgitee.com/­opengauss
opengauss.org
spark.apache.org/­sql
Technical documentationphoenix.apache.orgwww.lmdb.tech/­docdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationSymasHuawei and openGauss communityApache Software Foundation
Initial release2014201120192014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9.32, January 20243.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC, C++, JavaScala
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoANSI SQL 2011SQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache PhoenixLMDBopenGaussSpark SQL
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