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DBMS > Datomic vs. Google Cloud Firestore vs. MariaDB vs. Microsoft Azure Synapse Analytics vs. RocksDB

System Properties Comparison Datomic vs. Google Cloud Firestore vs. MariaDB vs. Microsoft Azure Synapse Analytics vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.datomic.comfirebase.google.com/­products/­firestoremariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­services/­synapse-analyticsrocksdb.org
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestoremariadb.com/­kb/­en/­librarydocs.microsoft.com/­azure/­synapse-analyticsgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectGoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftFacebook, Inc.
Initial release201220172009 infoFork of MySQL, which was first released in 199520162013
Current release1.0.7075, December 202311.3.2, February 20249.2.1, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
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 and C++C++C++
Server operating systemsAll OS with a Java VMhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedLinux
Data schemeyesschema-freeyes infoDynamic columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyesno
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesClojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, Firebase Rules & Cloud Functionsyes infoPL/SQL compatibility added with version 10.3Transact SQLno
TriggersBy using transaction functionsyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingseveral options for horizontal partitioning and ShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infonot for MyISAM storage engineACIDyes
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)yesyes infonot for in-memory storage engineyesyes
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 developmentyes infowith MEMORY storage engineyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardyesno
More information provided by the system vendor
DatomicGoogle Cloud FirestoreMariaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRocksDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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More resources
DatomicGoogle Cloud FirestoreMariaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRocksDB
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