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DBMS > Amazon Neptune vs. KairosDB vs. Lovefield vs. Microsoft Azure AI Search vs. YottaDB

System Properties Comparison Amazon Neptune vs. KairosDB vs. Lovefield vs. Microsoft Azure AI Search vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKairosDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed Time Series DBMS based on Cassandra or H2Embeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentA fast and solid embedded Key-value store
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsVector DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­neptunegithub.com/­kairosdb/­kairosdbgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchyottadb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceskairosdb.github.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchyottadb.com/­resources/­documentation
DeveloperAmazonGoogleMicrosoftYottaDB, LLC
Initial release20172013201420152001
Current release1.2.2, November 20182.1.12, February 2017V1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC
Server operating systemshostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedDocker
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternnoby using the Octo plugin
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Graphite protocol
HTTP REST
Telnet API
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
JavaScriptC#
Java
JavaScript
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnononono
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandranoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor infobased on Cassandranoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple password-based access controlnoyes infousing Azure authenticationUsers and groups based on OS-security mechanisms

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More resources
Amazon NeptuneKairosDBLovefieldMicrosoft Azure AI SearchYottaDB
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