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DBMS > Apache Phoenix vs. etcd vs. H2GIS vs. HBase vs. Heroic

System Properties Comparison Apache Phoenix vs. etcd vs. H2GIS vs. HBase vs. Heroic

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonetcd  Xexclude from comparisonH2GIS  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed reliable key-value storeSpatial extension of H2Wide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeSpatial DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitephoenix.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.h2gis.orghbase.apache.orggithub.com/­spotify/­heroic
Technical documentationphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2gis.org/­docs/­homehbase.apache.org/­book.htmlspotify.github.io/­heroic
DeveloperApache Software FoundationCNRSApache Software Foundation infoApache top-level project, originally developed by PowersetSpotify
Initial release2014201320082014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoLGPL 3.0Open Source infoApache version 2Open Source infoApache 2.0
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 languageJavaGoJavaJavaJava
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesnoyesoptions 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.nonononono
Secondary indexesyesnoyesnoyes infovia Elasticsearch
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsJDBCgRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infobased on H2yes infoCoprocessors in Javano
Triggersnoyes, watching key changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infobased on H2Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyes infobased on H2Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache PhoenixetcdH2GISHBaseHeroic
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