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

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

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonLovefield  Xexclude from comparisonVitess  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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Embeddable relational database for web apps written in pure JavaScriptScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.31
Rank#296  Overall
#44  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.datomic.comgithub.com/­Softmotions/­ejdbgoogle.github.io/­lovefieldvitess.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdvitess.io/­docs
DeveloperCambridge SemanticsCognitectSoftmotionsGoogleThe Linux Foundation, PlanetScale
Initial release20182012201220142013
Current release2.3, January 20211.0.7075, December 20232.1.12, February 201715.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
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, ClojureCJavaScriptGo
Server operating systemsLinuxAll OS with a Java VMserver-lessserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes 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
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIin-process shared libraryADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
Python
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnonoyes infoproprietary syntax
TriggersnoBy using transaction functionsnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersnonenoneMulti-source replication
Source-replica replication
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 across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infonot needed in graphsnono infotypically not needed, however similar functionality with collection joins possibleyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 developmentyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and rolesnononoUsers with fine-grained authorization concept infono user groups or roles

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More resources
AnzoGraph DBDatomicEJDBLovefieldVitess
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