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DBMS > Apache Phoenix vs. Databend vs. Heroic vs. TerarkDB

System Properties Comparison Apache Phoenix vs. Databend vs. Heroic vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabend  Xexclude from comparisonHeroic  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitephoenix.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
github.com/­spotify/­heroicgithub.com/­bytedance/­terarkdb
Technical documentationphoenix.apache.orgdocs.databend.comspotify.github.io/­heroicbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationDatabend LabsSpotifyByteDance, originally Terark
Initial release2014202120142016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJavaC++
Server operating systemsLinux
Unix
Windows
hosted
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyes infovia Elasticsearchno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBCCLI Client
JDBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user rolesno

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More resources
Apache PhoenixDatabendHeroicTerarkDB
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