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DBMS > AnzoGraph DB vs. Datomic vs. Dragonfly vs. EJDB vs. Lovefield

System Properties Comparison AnzoGraph DB vs. Datomic vs. Dragonfly vs. EJDB vs. Lovefield

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic 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)Embeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbgoogle.github.io/­lovefield
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCambridge SemanticsCognitectDragonflyDB team and community contributorsSoftmotionsGoogle
Initial release20182012202320122014
Current release2.3, January 20211.0.7075, December 20231.0, March 20232.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoGPLv2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++CJavaScript
Server operating systemsLinuxAll OS with a Java VMLinuxserver-lessserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeSchema-free and OWL/RDFS-schema supportyesscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idyes
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.nononono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization Protocolin-process shared library
Supported programming languagesC++
Java
Python
Clojure
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 proceduresuser defined functions and aggregatesyes infoTransaction FunctionsLuanono
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionalitynoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes, 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.yesyes inforecommended only for testing and developmentyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesnoPassword-based authenticationnono

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More resources
AnzoGraph DBDatomicDragonflyEJDBLovefield
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