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DBMS > Apache HugeGraph vs. Google Cloud Spanner vs. SurrealDB

System Properties Comparison Apache HugeGraph vs. Google Cloud Spanner vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
cloud.google.com/­spannersurrealdb.com
Technical documentationhugegraph.apache.org/­docscloud.google.com/­spanner/­docssurrealdb.com/­docs
DeveloperBaiduGoogleSurrealDB Ltd
Initial release201820172022
Current release0.9v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemsLinux
macOS
Unix
hostedLinux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGroovy
Java
Python
Go
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, based on authentication and database rules

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More resources
Apache HugeGraphGoogle Cloud SpannerSurrealDB
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Apache warns of critical flaws in MINA, HugeGraph, Traffic Control
26 December 2024, BleepingComputer

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