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DBMS > Amazon Neptune vs. BoltDB vs. Faircom DB vs. InterSystems Caché vs. Microsoft Azure AI Search

System Properties Comparison Amazon Neptune vs. BoltDB vs. Faircom DB vs. InterSystems Caché vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBoltDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudAn embedded key-value store for Go.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A multi-model DBMS and application serverSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Search engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteaws.amazon.com/­neptunegithub.com/­boltdb/­boltwww.faircom.com/­products/­faircom-dbwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonFairCom CorporationInterSystemsMicrosoft
Initial release20172013197919972015
Current releaseV12, November 20202018.1.4, May 2020V1
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeschema free, schema optional, schema required, partial schema,depending on used data modelyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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.nononoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes, ANSI SQL with proprietary extensionsyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding 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.noneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyestunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
Amazon NeptuneBoltDBFaircom DB infoformerly c-treeACEInterSystems CachéMicrosoft Azure AI Search
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