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DBMS > Citus vs. etcd vs. HBase vs. Heroic vs. Transwarp StellarDB

System Properties Comparison Citus vs. etcd vs. HBase vs. Heroic vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonetcd  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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 ElasticSearchA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSKey-value storeWide column storeTime Series DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
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
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.citusdata.cometcd.io
github.com/­etcd-io/­etcd
hbase.apache.orggithub.com/­spotify/­heroicwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.citusdata.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlspotify.github.io/­heroic
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyTranswarp
Initial release201020082014
Current release8.1, December 20183.4, August 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0commercial
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 languageCGoJavaJava
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Data schemeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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 infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnonoyes infovia Elasticsearch
SQL infoSupport of SQLyes infostandard, with numerous extensionsnononoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
OpenCypher
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoCoprocessors in Javano
Triggersyesyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)no
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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More resources
CitusetcdHBaseHeroicTranswarp StellarDB
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