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DBMS > Apache Pinot vs. Heroic vs. Hypertable vs. Memcached

System Properties Comparison Apache Pinot vs. Heroic vs. Hypertable vs. Memcached

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonMemcached  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSTime Series DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitepinot.apache.orggithub.com/­spotify/­heroicwww.memcached.org
Technical documentationdocs.pinot.apache.orgspotify.github.io/­heroicgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation and contributorsSpotifyHypertable Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2015201420092003
Current release1.0.0, September 20230.9.8.11, March 20161.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-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.no
Secondary indexesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
Proprietary protocol
Supported programming languagesGo
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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Apache PinotHeroicHypertableMemcached
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