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DBMS > Datomic vs. Dragonfly vs. EJDB vs. Ingres vs. Lovefield

System Properties Comparison Datomic vs. Dragonfly vs. EJDB vs. Ingres vs. Lovefield

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonIngres  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Well established RDBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbwww.actian.com/­databases/­ingresgoogle.github.io/­lovefield
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.actian.com/­ingresgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCognitectDragonflyDB team and community contributorsSoftmotionsActian CorporationGoogle
Initial release2012202320121974 infooriginally developed at University Berkely in early 1970s2014
Current release1.0.7075, December 20231.0, March 202311.2, May 20222.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoGPLv2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++CCJavaScript
Server operating systemsAll OS with a Java VMLinuxserver-lessAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesscheme-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization Protocolin-process shared library.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuanoyesno
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalitynoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnoneIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoRead/Write Lockingyes infoMVCCyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
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 developmentyesnoyes infousing MemoryDB
User concepts infoAccess controlnoPassword-based authenticationnofine grained access rights according to SQL-standardno

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More resources
DatomicDragonflyEJDBIngresLovefield
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