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DBMS > Axibase vs. EXASOL vs. Oracle Rdb vs. Spark SQL

System Properties Comparison Axibase vs. EXASOL vs. Oracle Rdb vs. Spark SQL

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonEXASOL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#288  Overall
#25  Time Series DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.exasol.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sql
Technical documentationwww.exasol.com/­resourceswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAxibase CorporationExasolOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2013200019842014
Current release155857.4.1.1, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsLinuxHP Open VMSLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Java
Lua
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
AxibaseEXASOLOracle RdbSpark SQL
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