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DBMS > DuckDB vs. EJDB vs. eXtremeDB vs. Spark SQL

System Properties Comparison DuckDB vs. EJDB vs. eXtremeDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonEJDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Natively in-memory DBMS with options for persistency, high-availability and clusteringSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteduckdb.orggithub.com/­Softmotions/­ejdbwww.mcobject.comspark.apache.org/­sql
Technical documentationduckdb.org/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.mcobject.com/­docs/­extremedb.htmspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsMcObjectApache Software Foundation
Initial release2018201220012014
Current release1.0.0, June 20248.2, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPLv2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++Scala
Server operating systemsserver-lessserver-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-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 infosupport of XML interfaces availableno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLSQL-like DML and DDL statements
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
in-process shared library.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning / shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoRead/Write Lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesyesno
User concepts infoAccess controlnonono
More information provided by the system vendor
DuckDBEJDBeXtremeDBSpark SQL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
DuckDBEJDBeXtremeDBSpark SQL
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