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DBMS > Apache Phoenix vs. LMDB vs. Percona Server for MySQL vs. Spark SQL vs. VictoriaMetrics

System Properties Comparison Apache Phoenix vs. LMDB vs. Percona Server for MySQL vs. Spark SQL vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonLMDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA high performant, light-weight, embedded key-value database libraryEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Spark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitephoenix.apache.orgwww.symas.com/­symas-embedded-database-lmdbwww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sqlvictoriametrics.com
Technical documentationphoenix.apache.orgwww.lmdb.tech/­docwww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationSymasPerconaApache Software FoundationVictoriaMetrics
Initial release20142011200820142018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9.32, January 20248.0.36-28, 20243.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoApache Version 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 languageJavaCC and C++ScalaGo
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
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.nonoyesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
XtraDB Cluster
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
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.yesyesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Apache PhoenixLMDBPercona Server for MySQLSpark SQLVictoriaMetrics
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