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DBMS > Datomic vs. Firebase Realtime Database vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. YottaDB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. YottaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed analytics engine for big data, built on top of Apache KylinSearch-as-a-service for web and mobile app developmentA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineKey-value store
Secondary database modelsVector DBMSRelational DBMS infousing the Octo plugin
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
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasekyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­services/­searchyottadb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­searchyottadb.com/­resources/­documentation
DeveloperCognitectGoogle infoacquired by Google 2014Kyligence, Inc.MicrosoftYottaDB, LLC
Initial release20122012201620152001
Current release1.0.7075, December 2023V1
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoAGPL 3.0
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.
Implementation languageJava, ClojureJavaC
Server operating systemsAll OS with a Java VMhostedLinuxhostedDocker
Linux
Data schemeyesschema-freeyesyesschema-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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)noby using the Octo plugin
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'no
TriggersBy using transaction functionsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 developmentnonoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesyes infousing Azure authenticationUsers and groups based on OS-security mechanisms

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More resources
DatomicFirebase Realtime DatabaseKyligence EnterpriseMicrosoft Azure AI SearchYottaDB
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