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DBMS > Apache Kylin vs. Datomic vs. Firebase Realtime Database vs. LevelDB vs. OrientDB

System Properties Comparison Apache Kylin vs. Datomic vs. Firebase Realtime Database vs. LevelDB vs. OrientDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLevelDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDatomic 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitekylin.apache.orgwww.datomic.comfirebase.google.com/­products/­realtime-databasegithub.com/­google/­leveldborientdb.org
Technical documentationkylin.apache.org/­docsdocs.datomic.comfirebase.google.com/­docs/­databasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncCognitectGoogle infoacquired by Google 2014GoogleOrientDB LTD; CallidusCloud; SAP
Initial release20152012201220112010
Current release3.1.0, July 20201.0.7075, December 20231.23, February 20213.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoBSDOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++Java
Server operating systemsLinuxAll OS with a Java VMhostedIllumos
Linux
OS X
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nononoSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'noJava, Javascript
TriggersBy using transaction functionsCallbacks are triggered when data changesnoHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono infocould be achieved with distributed queries
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
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlnoyes, based on authentication and database rulesnoAccess rights for users and roles; record level security configurable

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Apache KylinDatomicFirebase Realtime DatabaseLevelDBOrientDB
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