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DBMS > Datomic vs. Firebase Realtime Database vs. Teradata vs. VelocityDB vs. VictoriaMetrics

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Teradata vs. VelocityDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTeradata  Xexclude from comparisonVelocityDB  Xexclude from comparisonVictoriaMetrics  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 hybrid cloud data analytics software platform (Teradata Vantage)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.teradata.comvelocitydb.comvictoriametrics.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasedocs.teradata.comvelocitydb.com/­UserGuidedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCognitectGoogle infoacquired by Google 2014TeradataVelocityDB IncVictoriaMetrics
Initial release20122012198420112018
Current release1.0.6735, June 2023Teradata Vantage 1.0 MU2, January 20197.xv1.91, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC#Go
Server operating systemsAll OS with a Java VMhostedhosted
Linux
Any that supports .NETFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsnono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
.NetGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'yes infoUDFs, stored procedures, table functions in parallelnono
TriggersBy using transaction functionsCallbacks are triggered when data changesyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno
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
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 developmentyesyesno
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DatomicFirebase Realtime DatabaseTeradataVelocityDBVictoriaMetrics
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