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DBMS > etcd vs. HBase vs. Heroic vs. Postgres-XL vs. RDF4J

System Properties Comparison etcd vs. HBase vs. Heroic vs. Postgres-XL vs. RDF4J

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA distributed reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeWide column storeTime Series DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteetcd.io
github.com/­etcd-io/­etcd
hbase.apache.orggithub.com/­spotify/­heroicwww.postgres-xl.orgrdf4j.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlspotify.github.io/­heroicwww.postgres-xl.org/­documentationrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200820142014 infosince 2012, originally named StormDB2004
Current release3.4, August 20192.3.4, January 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaCJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnonoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query executionno
APIs and other access methodsgRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanouser defined functionsyes
Triggersyes, watching key changesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACID infoMVCCACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardno

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More resources
etcdHBaseHeroicPostgres-XLRDF4J infoformerly known as Sesame
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