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DBMS > Datomic vs. Drizzle vs. Firebase Realtime Database vs. Geode vs. jBASE

System Properties Comparison Datomic vs. Drizzle vs. Firebase Realtime Database vs. Geode vs. jBASE

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonjBASE  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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA robust multi-value DBMS comprising development tools and middleware
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasegeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasegeode.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperCognitectDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software (formerly Zumasys)
Initial release20122008201220021991
Current release1.0.7075, December 20237.2.4, September 20121.1, February 20175.7
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
hostedAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
Linux
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nononoyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoSQL-like query language (OQL)Embedded SQL for jBASE in BASIC
APIs and other access methodsRESTful HTTP APIJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesClojure
Java
C
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnolimited functionality with using 'rules'user defined functionsyes
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesAccess rights per client and object definableAccess rights can be defined down to the item level

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More resources
DatomicDrizzleFirebase Realtime DatabaseGeodejBASE
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