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DBMS > HugeGraph vs. RavenDB vs. Spark SQL vs. SQL.JS vs. Transbase

System Properties Comparison HugeGraph vs. RavenDB vs. Spark SQL vs. SQL.JS vs. Transbase

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScriptA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
ravendb.netspark.apache.org/­sqlsql.js.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationhugegraph.apache.org/­docsravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBaiduHibernating RhinosApache Software FoundationAlon Zakai infoenhancements implemented by othersTransaction Software GmbH
Initial release20182010201420121987
Current release0.95.4, July 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Sourcecommercial infofree development license
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 languageJavaC#ScalaJavaScriptC and C++
Server operating systemsLinux
macOS
Unix
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexyesnoyes
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
JavaScript APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGroovy
Java
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
JavaScriptC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.noneImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availablenoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlUsers, roles and permissionsAuthorization levels configured per client per databasenonofine grained access rights according to SQL-standard

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HugeGraphRavenDBSpark SQLSQL.JSTransbase
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