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DBMS > Heroic vs. Kinetica vs. Memcached vs. TerarkDB

System Properties Comparison Heroic vs. Kinetica vs. Memcached vs. TerarkDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingA 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 modelTime Series DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitegithub.com/­spotify/­heroicwww.kinetica.comwww.memcached.orggithub.com/­bytedance/­terarkdb
Technical documentationspotify.github.io/­heroicdocs.kinetica.comgithub.com/­memcached/­memcached/­wikibytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSpotifyKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalByteDance, originally Terark
Initial release2014201220032016
Current release7.1, August 20211.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD licensecommercial 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 languageJavaC, C++CC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nonono
Secondary indexesyes infovia Elasticsearchyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocolC++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolno

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HeroicKineticaMemcachedTerarkDB
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