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DBMS > Amazon Neptune vs. Apache Kylin vs. Faircom DB vs. TerarkDB

System Properties Comparison Amazon Neptune vs. Apache Kylin vs. Faircom DB vs. TerarkDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Kylin  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#115  Overall
#8  Graph DBMS
#5  RDF stores
Score1.20
Rank#160  Overall
#80  Relational DBMS
Score0.43
Rank#247  Overall
#38  Key-value stores
#116  Relational DBMS
Score0.08
Rank#323  Overall
#51  Key-value stores
Websiteaws.amazon.com/­neptunekylin.apache.orgwww.faircom.com/­products/­faircom-dbgithub.com/­Terark/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourceskylin.apache.org/­docslearn.faircomcorp.com/­developers/­documentation_directorygithub.com/­Terark/­terarkdb/­wiki
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncFairCom CorporationTerark
Initial release2017201519792016
Current release3.1.0, July 2020V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++C++
Server operating systemshostedLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresno
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 indexesnoyesyesno
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)yes, ANSI SQL with proprietary extensionsno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
JDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
C++ API
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained access rights according to SQL-standard with additional protections for filesno
More information provided by the system vendor
Amazon NeptuneApache KylinFaircom DB infoformerly c-treeACETerarkDB
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more

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More resources
Amazon NeptuneApache KylinFaircom DB infoformerly c-treeACETerarkDB
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