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DBMS > Datomic vs. Firebase Realtime Database vs. Solr vs. VelocityDB vs. XTDB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Solr vs. VelocityDB vs. XTDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSolr  Xexclude from comparisonVelocityDB  Xexclude from comparisonXTDB infoformerly named Crux  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 widely used distributed, scalable search engine based on Apache LuceneA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeSearch engineGraph DBMS
Object oriented DBMS
Document store
Secondary database modelsSpatial 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
Score42.91
Rank#24  Overall
#3  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasesolr.apache.orgvelocitydb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasesolr.apache.org/­resources.htmlvelocitydb.com/­UserGuidewww.xtdb.com/­docs
DeveloperCognitectGoogle infoacquired by Google 2014Apache Software FoundationVelocityDB IncJuxt Ltd.
Initial release20122012200620112019
Current release1.0.6735, June 20239.6.0, April 20247.x1.19, September 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC#Clojure
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NETAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes, extensible-data-notation format
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 infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfacenolimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NetHTTP REST
JDBC
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.NetClojure
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'Java pluginsnono
TriggersBy using transaction functionsCallbacks are triggered when data changesyes infoUser configurable commands triggered on index changesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic lockingACIDACID
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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 rulesyesBased on Windows Authentication

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More resources
DatomicFirebase Realtime DatabaseSolrVelocityDBXTDB infoformerly named Crux
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