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DBMS > AgensGraph vs. Graph Engine vs. HugeGraph vs. ScyllaDB

System Properties Comparison AgensGraph vs. Graph Engine vs. HugeGraph vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
Key-value store
Graph DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitebitnine.net/­agensgraphwww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
www.scylladb.com
Technical documentationbitnine.net/­documentationwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsdocs.scylladb.com
DeveloperBitnine Global Inc.MicrosoftBaiduScyllaDB
Initial release2016201020182015
Current release2.1, December 20180.9ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC.NET and CJavaC++
Server operating systemsLinux
OS X
Windows
.NETLinux
macOS
Unix
Linux
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyes infocluster global secondary indices
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
Java
JavaScript
Python
C#
C++
F#
Visual Basic
Groovy
Java
Python
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
Server-side scripts infoStored proceduresyesyesasynchronous Gremlin script jobsyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users can be defined per object
More information provided by the system vendor
AgensGraphGraph Engine infoformer name: TrinityHugeGraphScyllaDB
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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More resources
AgensGraphGraph Engine infoformer name: TrinityHugeGraphScyllaDB
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