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DBMS > GBase vs. Spark SQL vs. TypeDB vs. Vitess

System Properties Comparison GBase vs. Spark SQL vs. TypeDB vs. Vitess

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spark SQL is a component on top of 'Spark Core' for structured data processingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.gbase.cnspark.apache.org/­sqltypedb.comvitess.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypedb.com/­docsvitess.io/­docs
DeveloperGeneral Data Technology Co., Ltd.Apache Software FoundationVaticleThe Linux Foundation, PlanetScale
Initial release2004201420162013
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.0 ( 2.13), September 20232.26.3, January 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonScalaJavaGo
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLStandard with numerous extensionsSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#Java
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningyes, utilizing Spark CoreSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication infoby using CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnono infosubstituted by the relationship featureyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlyesnoyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GBaseSpark SQLTypeDB infoformerly named GraknVitess
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
GBaseSpark SQLTypeDB infoformerly named GraknVitess
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