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DBMS > Drizzle vs. EJDB vs. Geode vs. MaxDB vs. Spark SQL

System Properties Comparison Drizzle vs. EJDB vs. Geode vs. MaxDB vs. Spark SQL

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEJDB  Xexclude from comparisonGeode  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbgeode.apache.orgmaxdb.sap.comspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgeode.apache.org/­docsmaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerSoftmotionsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation
Initial release20082012200219842014
Current release7.2.4, September 20121.1, February 20177.9.10.12, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPLv2Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++Scala
Server operating systemsFreeBSD
Linux
OS X
server-lessAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nonono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (OQL)yesSQL-like DML and DDL statements
APIs and other access methodsJDBCin-process shared libraryJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyesno
Triggersno infohooks for callbacks inside the server can be used.noyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights per client and object definablefine grained access rights according to SQL-standardno

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More resources
DrizzleEJDBGeodeMaxDB infoformerly named Adabas-DSpark SQL
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