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DBMS > Datomic vs. EsgynDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. MariaDB

System Properties Comparison Datomic vs. EsgynDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. MariaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score83.44
Rank#15  Overall
#10  Relational DBMS
Websitewww.datomic.comwww.esgyn.cnfirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docsmariadb.com/­kb/­en/­library
DeveloperCognitectEsgynGoogle infoacquired by Google 2014GoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release20122015201220152009 infoFork of MySQL, which was first released in 1995
Current release1.0.7180, July 202411.5.2, August 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
Implementation languageJava, ClojureC++, JavaC and C++
Server operating systemsAll OS with a Java VMLinuxhostedhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesyesschema-freeschema-freeyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesnonoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedureslimited functionality with using 'rules'noyes infoPL/SQL compatibility added with version 10.3
TriggersBy using transaction functionsnoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesAtomic single-row operationsACID infonot for MyISAM storage engine
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 infonot for in-memory storage engine
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 developmentnonoyes infowith MEMORY storage engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicEsgynDBFirebase Realtime DatabaseGoogle Cloud BigtableMariaDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
DatomicEsgynDBFirebase Realtime DatabaseGoogle Cloud BigtableMariaDB
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