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DBMS > CrateDB vs. EJDB vs. NuoDB vs. PlanetScale

System Properties Comparison CrateDB vs. EJDB vs. NuoDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonEJDB  Xexclude from comparisonNuoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionDistributed Database based on LuceneEmbeddable document-store database library with JSON representation of queries (in MongoDB style)NuoDB is a webscale distributed database that supports SQL and ACID transactionsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score0.87
Rank#201  Overall
#94  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Websitecratedb.comgithub.com/­Softmotions/­ejdbwww.3ds.com/­nuodb-distributed-sql-databaseplanetscale.com
Technical documentationcratedb.com/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.nuodb.complanetscale.com/­docs
DeveloperCrateSoftmotionsDassault Systèmes infooriginally NuoDB, Inc.PlanetScale
Initial release2013201220132020
Current release5.8.1, August 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoGPLv2commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++Go
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportserver-lesshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
in-process shared libraryADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)noJava, SQLyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelnoneyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID infotunable commit protocolACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoMVCCyes infotable locks or row locks depending on storage engine
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.noyes infoTemporary tableyes
User concepts infoAccess controlrights management via user accountsnoStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept infono user groups or roles

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More resources
CrateDBEJDBNuoDBPlanetScale
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