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DBMS > HugeGraph vs. ObjectBox vs. ScyllaDB vs. Yanza

System Properties Comparison HugeGraph vs. ObjectBox vs. ScyllaDB vs. Yanza

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonObjectBox  Xexclude from comparisonScyllaDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsCassandra and DynamoDB compatible wide column storeTime Series DBMS for IoT Applications
Primary database modelGraph DBMSObject oriented DBMS
Vector DBMS
Wide column storeTime Series DBMS
Secondary database modelsTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­objectbox
objectbox.io
www.scylladb.comyanza.com
Technical documentationhugegraph.apache.org/­docsdocs.objectbox.iodocs.scylladb.com
DeveloperBaiduObjectBox LimitedScyllaDBYanza
Initial release2018201720152015
Current release0.94.0 (May 2024)ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC and C++C++
Server operating systemsLinux
macOS
Unix
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
LinuxWindows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesno
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 indexesyes infoalso supports composite index and range indexyesyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP API
Supported programming languagesGroovy
Java
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes, Luano
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseData sync between devices allowing occasional connected databases to work completely offlineselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlUsers, roles and permissionsyesAccess rights for users can be defined per objectno
More information provided by the system vendor
HugeGraphObjectBoxScyllaDBYanza
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
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