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DBMS > Drizzle vs. EJDB vs. Google Cloud Bigtable vs. Interbase vs. MaxDB

System Properties Comparison Drizzle vs. EJDB vs. Google Cloud Bigtable vs. Interbase vs. MaxDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterbase  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Light-weight proven RDBMS infooriginally from BorlandA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSDocument storeKey-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablewww.embarcadero.com/­products/­interbasemaxdb.sap.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbasemaxdb.sap.com/­documentation
DeveloperDrizzle project, originally started by Brian AkerSoftmotionsGoogleEmbarcaderoSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20082012201519841984
Current release7.2.4, September 2012InterBase 2020, December 20197.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPLv2commercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CCC++
Server operating systemsFreeBSD
Linux
OS X
server-lesshostedAndroid
iOS
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyesyes
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 infoexport as XML data possibleno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyesyes
APIs and other access methodsJDBCin-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C++
Java
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnononoyes infoInterbase procedure and trigger languageyes
Triggersno infohooks for callbacks inside the server can be used.nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneInternal replication in Colossus, and regional replication between two clusters in different zonesInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infoMultiversion concurreny controlyes
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.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DrizzleEJDBGoogle Cloud BigtableInterbaseMaxDB infoformerly named Adabas-D
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