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DBMS > AnzoGraph DB vs. CockroachDB vs. Firebase Realtime Database vs. ObjectBox vs. Yanza

System Properties Comparison AnzoGraph DB vs. CockroachDB vs. Firebase Realtime Database vs. ObjectBox vs. Yanza

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonObjectBox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Extremely fast embedded database for small devices, IoT and MobileTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeObject oriented DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitecambridgesemantics.com/­anzographwww.cockroachlabs.comfirebase.google.com/­products/­realtime-databaseobjectbox.ioyanza.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.cockroachlabs.com/­docsfirebase.google.com/­docs/­databasedocs.objectbox.io
DeveloperCambridge SemanticsCockroach LabsGoogle infoacquired by Google 2014ObjectBox LimitedYanza
Initial release20182015201220172015
Current release2.3, January 202124.1.0, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemsLinuxLinux
macOS
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Windows
Data schemeSchema-free and OWL/RDFS-schema supportdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, wire compatible with PostgreSQLnonono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary native APIHTTP API
Supported programming languagesC++
Java
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
JavaScript
Objective-C
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesnolimited functionality with using 'rules'nono
TriggersnonoCallbacks are triggered when data changesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication using RAFTonline/offline synchronization between client and servernone
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 infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlyes, based on authentication and database rulesyesno
More information provided by the system vendor
AnzoGraph DBCockroachDBFirebase Realtime DatabaseObjectBoxYanza
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More resources
AnzoGraph DBCockroachDBFirebase Realtime DatabaseObjectBoxYanza
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