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DBMS > 4D vs. CrateDB vs. PlanetScale vs. SQream DB

System Properties Comparison 4D vs. CrateDB vs. PlanetScale vs. SQream DB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCrateDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemDistributed Database based on LuceneScalable, distributed, serverless MySQL database platform built on top of Vitessa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.4d.comcratedb.complanetscale.comsqream.com
Technical documentationdeveloper.4d.comcratedb.com/­docsplanetscale.com/­docsdocs.sqream.com
Developer4D, IncCratePlanetScaleSQream Technologies
Initial release1984201320202017
Current releasev20, April 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaGoC++, CUDA, Haskell, Java, Scala
Server operating systemsOS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportDocker
Linux
macOS
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yes, but no triggers and constraints, and PostgreSQL compatibilityyes infowith proprietary extensionsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
.Net
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
.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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions (Javascript)yes infoproprietary syntaxuser defined functions in Python
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
none
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
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
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 strategyACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers and groupsrights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
4D infoformer name: 4th DimensionCrateDBPlanetScaleSQream DB
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 DimensionCrateDBPlanetScaleSQream DB
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