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DBMS > Amazon Neptune vs. Splice Machine vs. TerminusDB

System Properties Comparison Amazon Neptune vs. Splice Machine vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF 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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­neptunesplicemachine.comterminusdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcessplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperAmazonSplice MachineDataChemist Ltd.
Initial release201720142018
Current release3.1, March 202111.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (WOQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoJavayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningGraph 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.Multi-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Amazon NeptuneSplice MachineTerminusDB infoformer name was DataChemist
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