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DBMS > CrateDB vs. Datomic vs. dBASE vs. EJDB

System Properties Comparison CrateDB vs. Datomic vs. dBASE vs. EJDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDatomic  Xexclude from comparisondBASE  Xexclude from comparisonEJDB  Xexclude from comparison
DescriptionDistributed Database based on LuceneDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Embeddable document-store database library with JSON representation of queries (in MongoDB style)
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#18  Time Series DBMS
#8  Vector DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score0.30
Rank#302  Overall
#44  Document stores
Websitecratedb.comwww.datomic.comwww.dbase.comgithub.com/­Softmotions/­ejdb
Technical documentationcratedb.com/­docsdocs.datomic.comwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperCrateCognitectAsthon TateSoftmotions
Initial release2013201219792012
Current release1.0.6735, June 2023dBASE 2019, 2019
License infoCommercial or Open SourceOpen Sourcecommercial infolimited edition freecommercialOpen Source infoGPLv2
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, ClojureC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMDOS infodBase Classic
Windows infodBase Pro
server-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, bool, date, object_id
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 indexesyesyesyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynonono
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.in-process shared library
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
Clojure
Java
dBase proprietary IDEActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infoTransaction Functionsno infoThe IDE can access stored procedures in other database systems.no
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelnone infoBut extensive use of caching in the application peersnonenone
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 Consistency
Foreign keys infoReferential integritynonoyesno infotypically not needed, however similar functionality with collection joins possible
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 strategyACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Locking
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlrights management via user accountsnoAccess rights for users and rolesno
More information provided by the system vendor
CrateDBDatomicdBASEEJDB
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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CrateDBDatomicdBASEEJDB
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