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DBMS > Citus vs. NSDb vs. Spark SQL vs. SurrealDB vs. Transbase

System Properties Comparison Citus vs. NSDb vs. Spark SQL vs. SurrealDB vs. Transbase

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Graph DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.citusdata.comnsdb.iospark.apache.org/­sqlsurrealdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.citusdata.comnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationSurrealDB LtdTransaction Software GmbH
Initial release20102017201420221987
Current release8.1, December 20183.5.0 ( 2.13), September 2023v1.5.0, May 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open 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 languageCJava, ScalaScalaRustC and C++
Server operating systemsLinuxLinux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
WebSocket
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Scala
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
CitusNSDbSpark SQLSurrealDBTransbase
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