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DBMS > Apache Druid vs. EventStoreDB vs. Memcached vs. Netezza vs. ToroDB

System Properties Comparison Apache Druid vs. EventStoreDB vs. Memcached vs. Netezza vs. ToroDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMemcached  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.In-memory key-value store, originally intended for cachingData warehouse and analytics appliance part of IBM PureSystemsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Event StoreKey-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitedruid.apache.orgwww.eventstore.comwww.memcached.orgwww.ibm.com/­products/­netezzagithub.com/­torodb/­server
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation and contributorsEvent Store LimitedDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalIBM8Kdata
Initial release20122012200320002016
Current release30.0.0, June 202421.2, February 20211.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open SourceOpen Source infoBSD licensecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux infoincluded in applianceAll OS with a Java 7 VM
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infostring, integer, double, boolean, date, object_id
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocolJDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Apache DruidEventStoreDBMemcachedNetezza infoAlso called PureData System for Analytics by IBMToroDB
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