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DBMS > 4D vs. Amazon Neptune vs. Blueflood vs. CrateDB vs. Ehcache

System Properties Comparison 4D vs. Amazon Neptune vs. Blueflood vs. CrateDB vs. Ehcache

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonBlueflood  Xexclude from comparisonCrateDB  Xexclude from comparisonEhcache  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFast, reliable graph database built for the cloudScalable TimeSeries DBMS based on CassandraDistributed Database based on LuceneA widely adopted Java cache with tiered storage options
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Websitewww.4d.comaws.amazon.com/­neptuneblueflood.iocratedb.comwww.ehcache.org
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesgithub.com/­rax-maas/­blueflood/­wikicratedb.com/­docswww.ehcache.org/­documentation
Developer4D, IncAmazonRackspaceCrateTerracotta Inc, owned by Software AG
Initial release19842017201320132009
Current releasev20, April 20235.8.1, August 20243.10.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsOS X
Windows
hostedLinux
OS X
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VM
Data schemeyesschema-freepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP RESTADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCache
Supported programming languages4D proprietary IDE
PHP
C#
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
Java
Server-side scripts infoStored proceduresyesnonouser defined functions (Javascript)no
Triggersyesnononoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraShardingSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-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.selectable replication factor infobased on CassandraConfigurable replication on table/partition-levelyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Read-after-write consistency on record level
Tunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlUsers and groupsAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)norights management via user accountsno

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