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DBMS > Aerospike vs. Druid

System Properties Comparison Aerospike vs. Druid

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonDruid  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseOpen-source analytics data store designed for OLAP queries on timeseries data
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.77
Rank#53  Overall
#7  Key-value stores
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Websitewww.aerospike.comdruid.io
Technical documentationwww.aerospike.com/­docsdruid.io/­docs/­latest/­design/­index.html
DeveloperAerospikeMetamarkets Group and contributors
Initial release20122012
Current release4.2.0.4, June 2018
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinuxLinux
OS X
Unix
Data schemeschema-freeyes infoschema-less columns are supported
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapter
APIs and other access methodsProprietary protocol
JDBC
JSON over HTTP
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infowith Luano
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyno infoavailable via extensions
More information provided by the system vendor
Aerospike infopreviously called CitrusleafDruid
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Aerospike infopreviously called CitrusleafDruid
Recent citations in the news

Aerospike Becomes First Commercial Database to Support IntelĀ® Ethernet 800 Series with Application Device Queues (ADQ) Technology
24 September 2019, Business Wire

Strata Data 2019: Vendors focus on implementation success
29 September 2019, ZDNet

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12 March 2019, TechTarget

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19 October 2015, VentureBeat

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10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

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24 September 2018, HPCwire

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