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DBMS > Newts vs. Spark SQL vs. SurrealDB vs. Transbase

System Properties Comparison Newts vs. Spark SQL vs. SurrealDB vs. Transbase

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraSpark 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 modelTime Series DBMSRelational DBMSDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteopennms.github.io/­newtsspark.apache.org/­sqlsurrealdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperOpenNMS GroupApache Software FoundationSurrealDB LtdTransaction Software GmbH
Initial release2014201420221987
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Sourcecommercial infofree development license
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.
Implementation languageJavaScalaRustC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsHTTP REST
Java API
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJavaJava
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
NewtsSpark SQLSurrealDBTransbase
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