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DBMS > Aerospike vs. Elasticsearch vs. mSQL vs. TempoIQ vs. Titan

System Properties Comparison Aerospike vs. Elasticsearch vs. mSQL vs. TempoIQ vs. Titan

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonElasticsearch  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTitan  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFlash-optimized In-memory NoSQL DatabaseA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricmSQL (Mini SQL) is a simple and lightweight RDBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Search engineRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score1.67
Rank#151  Overall
#70  Relational DBMS
Websiteaerospike.comwww.elastic.co/­elasticsearchhughestech.com.au/­products/­msqltempoiq.com (offline)github.com/­thinkaurelius/­titan
Technical documentationdocs.aerospike.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeElasticHughes TechnologiesTempoIQAurelius, owned by DataStax
Initial release20122010199420122012
Current release7.0, November 20238.6, January 20234.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoElastic Licensecommercial infofree licenses can be providedcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaCJava
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infowith Luayesnonoyes
Triggersnoyes infoby using the 'percolation' featurenoyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReduceES-Hadoop Connectornonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationnono
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlynosimple authentication-based access controlUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Aerospike infopreviously called CitrusleafElasticsearchmSQL infoMini SQLTempoIQ infoformerly TempoDBTitan
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
News

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

Aerospike Listed as Sample Vendor in Gartner® Hype Cycle™ for Data Management, 2023
24 October 2023

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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 CitrusleafElasticsearchmSQL infoMini SQLTempoIQ infoformerly TempoDBTitan
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

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PostgreSQL is the DBMS of the Year 2017
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Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Recent citations in the news

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

Aerospike Raises $109M For Accelerated Database Development, Market Expansion
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Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services
24 August 2015, AWS Blog

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21 June 2016, Datanami

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