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DBMS > Amazon DocumentDB vs. JanusGraph vs. Splice Machine vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. JanusGraph vs. Splice Machine vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-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 modelDocument storeGraph DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­documentdbjanusgraph.orgsplicemachine.comvelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.janusgraph.orgsplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperLinux Foundation; originally developed as Titan by AureliusSplice MachineVelocityDB Inc
Initial release2019201720142011
Current release0.6.3, February 20233.1, March 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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 systemshostedLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
ODBC
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnoyesyes infoJavano
TriggersnoyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infovia Faunus, a graph analytics engineYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesUser authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
Amazon DocumentDBJanusGraph infosuccessor of TitanSplice MachineVelocityDB
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