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DBMS > LeanXcale vs. Postgres-XL vs. VoltDB

System Properties Comparison LeanXcale vs. Postgres-XL vs. VoltDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#290  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.46
Rank#258  Overall
#120  Relational DBMS
Score1.45
Rank#151  Overall
#69  Relational DBMS
Websitewww.leanxcale.comwww.postgres-xl.orgwww.voltdb.com
Technical documentationwww.postgres-xl.org/­documentationdocs.voltdb.com
DeveloperLeanXcaleVoltDB Inc.
Initial release20152014 infosince 2012, originally named StormDB2010
Current release10 R1, October 201811.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++
Server operating systemsLinux
macOS
Linux
OS X infofor development
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infodistributed, parallel query executionyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
LeanXcalePostgres-XLVoltDB
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