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DBMS > Amazon Neptune vs. Hazelcast vs. Splice Machine vs. VelocityDB

System Properties Comparison Amazon Neptune vs. Hazelcast vs. Splice Machine vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHazelcast  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA widely adopted in-memory data gridOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteaws.amazon.com/­neptunehazelcast.comsplicemachine.comvelocitydb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceshazelcast.org/­imdg/­docssplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperAmazonHazelcastSplice MachineVelocityDB Inc
Initial release2017200820142011
Current release5.3.6, November 20233.1, March 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Any that supports .NET
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.Net
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infoJavano
Triggersnoyes infoEventsyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
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.yes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
Amazon NeptuneHazelcastSplice MachineVelocityDB
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