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DBMS > Axibase vs. Hawkular Metrics vs. Percona Server for MongoDB vs. RDF4J vs. Spark SQL

System Properties Comparison Axibase vs. Hawkular Metrics vs. Percona Server for MongoDB vs. RDF4J vs. Spark SQL

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSDocument storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.hawkular.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrdf4j.orgspark.apache.org/­sql
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.percona.com/­percona-distribution-for-mongodbrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAxibase CorporationCommunity supported by Red HatPerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release20132014201520042014
Current release155853.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoEclipse Distribution License (EDL), v1.0.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 languageJavaJavaC++JavaScala
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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 indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languagenononoSQL-like DML and DDL statements
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP RESTproprietary protocol using JSONJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Java
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoJavaScriptyesno
Triggersyesyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineno
User concepts infoAccess controlnoAccess rights for users and rolesnono

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More resources
AxibaseHawkular MetricsPercona Server for MongoDBRDF4J infoformerly known as SesameSpark SQL
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