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DBMS > Datomic vs. Firebase Realtime Database vs. Kdb vs. LevelDB vs. VelocityDB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Kdb vs. LevelDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonVelocityDB  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.High performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeTime Series DBMS
Vector DBMS
Key-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasekx.comgithub.com/­google/­leveldbvelocitydb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasecode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvelocitydb.com/­UserGuide
DeveloperCognitectGoogle infoacquired by Google 2014Kx Systems, a division of First Derivatives plcGoogleVelocityDB Inc
Initial release201220122000 infokdb was released 2000, kdb+ in 200320112011
Current release1.0.6735, June 20233.6, May 20181.23, February 20217.x
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infofree 32-bit versionOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureqC++C#
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Any that supports .NET
Data schemeyesschema-freeyesschema-freeyes
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.nonoyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnonoSQL-like query language (q)nono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.Net
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'user defined functionsnono
TriggersBy using transaction functionsCallbacks are triggered when data changesyes infowith viewsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
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)yesyesyes infowith automatic compression on writesyes
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 controlnoyes, based on authentication and database rulesrights management via user accountsnoBased on Windows Authentication
More information provided by the system vendor
DatomicFirebase Realtime DatabaseKdbLevelDBVelocityDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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DatomicFirebase Realtime DatabaseKdbLevelDBVelocityDB
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