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DBMS > Amazon Neptune vs. Apache Kylin vs. BoltDB vs. Citus vs. Faircom DB

System Properties Comparison Amazon Neptune vs. Apache Kylin vs. BoltDB vs. Citus vs. Faircom DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Kylin  Xexclude from comparisonBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonFaircom DB infoformerly c-treeACE  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 stackAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Websiteaws.amazon.com/­neptunekylin.apache.orggithub.com/­boltdb/­boltwww.citusdata.comwww.faircom.com/­products/­faircom-db
Technical documentationaws.amazon.com/­neptune/­developer-resourceskylin.apache.org/­docsdocs.citusdata.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncFairCom Corporation
Initial release20172015201320101979
Current release3.1.0, July 20208.1, December 2018V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoAGPL, commercial license also availablecommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCANSI C, C++
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeschema-freeyesschema-freeyesschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyesyesnoyesyes, ANSI SQL Types, JSON, typed binary structures
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.nononoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)noyes infostandard, with numerous extensionsyes, ANSI SQL with proprietary extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
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.noneSource-replica replication infoother methods possible by using 3rd party extensionsyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDtunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesYes, tunable from durable to delayed durability to in-memory
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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-standardFine grained access rights according to SQL-standard with additional protections for files

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More resources
Amazon NeptuneApache KylinBoltDBCitusFaircom DB infoformerly c-treeACE
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