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DBMS > Amazon Neptune vs. CrateDB vs. TimesTen vs. VelocityDB

System Properties Comparison Amazon Neptune vs. CrateDB vs. TimesTen vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCrateDB  Xexclude from comparisonTimesTen  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed Database based on LuceneIn-Memory RDBMS compatible to OracleA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­neptunecratedb.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlvelocitydb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescratedb.com/­docsdocs.oracle.com/­database/­timesten-18.1velocitydb.com/­UserGuide
DeveloperAmazonCrateOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VelocityDB Inc
Initial release2017201319982011
Current release11 Release 2 (11.2.2.8.0)7.x
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Any that supports .NET
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilityyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.Net
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Java
PL/SQL
.Net
Server-side scripts infoStored proceduresnouser defined functions (Javascript)PL/SQLno
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
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.Configurable replication on table/partition-levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Amazon NeptuneCrateDBTimesTenVelocityDB
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