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DBMS > Amazon Neptune vs. BoltDB vs. Elasticsearch vs. Faircom DB vs. Splice Machine

System Properties Comparison Amazon Neptune vs. BoltDB vs. Elasticsearch vs. Faircom DB vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBoltDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn embedded key-value store for Go.A 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 metricNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Key-value storeSearch engineKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.70
Rank#225  Overall
#31  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-dbsplicemachine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlsplicemachine.com/­how-it-works
DeveloperAmazonElasticFairCom CorporationSplice Machine
Initial release20172013201019792014
Current release8.6, January 2023V13, July 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Source infoAGPL 3.0, commercial license 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 languageGoJavaANSI C, C++Java
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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 indexesnonoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesyes info.Net, JavaScript, C/C++yes infoJava
Triggersnonoyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShared Nothhing Auto-Sharding, Columnar 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.noneyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop ConnectornoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnotunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesYes, 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.noMemcached and Redis integrationyesyes
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 roles according to SQL-standard

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More resources
Amazon NeptuneBoltDBElasticsearchFaircom DB infoformerly c-treeACESplice Machine
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