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DBMS > 4D vs. Apache Doris vs. CrateDB vs. Graph Engine

System Properties Comparison 4D vs. Apache Doris vs. CrateDB vs. Graph Engine

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Doris  Xexclude from comparisonCrateDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn MPP-based analytics DBMS embracing the MySQL protocolDistributed Database based on LuceneA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Websitewww.4d.comdoris.apache.org
github.com/­apache/­doris
cratedb.comwww.graphengine.io
Technical documentationdeveloper.4d.comgithub.com/­apache/­doris/­wikicratedb.com/­docswww.graphengine.io/­docs/­manual
Developer4D, IncApache Software Foundation, originally contributed from BaiduCrateMicrosoft
Initial release1984201720132010
Current releasev20, April 20231.2.2, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJava.NET and C
Server operating systemsOS X
Windows
LinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support.NET
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
MySQL client
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Java.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++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions (Javascript)yes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesnonono
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 strategyno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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 groupsfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DorisCrateDBGraph Engine infoformer name: Trinity
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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4D infoformer name: 4th DimensionApache DorisCrateDBGraph Engine infoformer name: Trinity
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