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DBMS > RavenDB vs. Spark SQL vs. TDSQL for MySQL vs. TerminusDB vs. Transbase

System Properties Comparison RavenDB vs. Spark SQL vs. TDSQL for MySQL vs. TerminusDB vs. Transbase

Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteravendb.netspark.apache.org/­sqlwww.tencentcloud.com/­products/­dcdbterminusdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tencentcloud.com/­document/­product/­1042terminusdb.github.io/­terminusdb/­#www.transaction.de/­en/­products/­transbase/­features.html
DeveloperHibernating RhinosApache Software FoundationTencentDataChemist Ltd.Transaction Software GmbH
Initial release20102014201320181987
Current release5.4, July 20223.5.0 ( 2.13), September 202311.0.0, January 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0commercialOpen Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#ScalaProlog, RustC and C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
hostedLinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (RQL)SQL-like DML and DDL statementsyesSQL-like query language (WOQL)yes
APIs and other access methods.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
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
PHP
Python
Ruby
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyesyesyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreAutomatic shardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
Journaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availablenoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAuthorization levels configured per client per databasenoUsers with fine-grained authorization conceptRole-based access controlfine grained access rights according to SQL-standard

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More resources
RavenDBSpark SQLTDSQL for MySQLTerminusDB infoformer name was DataChemistTransbase
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