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DBMS > FeatureBase vs. GBase vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Splice Machine

System Properties Comparison FeatureBase vs. GBase vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Splice Machine

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.featurebase.comwww.gbase.cnazure.microsoft.com/­services/­synapse-analyticsplanetscale.comsplicemachine.com
Technical documentationdocs.featurebase.comdocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docssplicemachine.com/­how-it-works
DeveloperMolecula and Pilosa Open Source ContributorsGeneral Data Technology Co., Ltd.MicrosoftPlanetScaleSplice Machine
Initial release20172004201620202014
Current release2022, May 2022GBase 8a, GBase 8s, GBase 8c3.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonC++GoJava
Server operating systemsLinux
macOS
LinuxhostedDocker
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesStandard with numerous extensionsyesyes infowith proprietary extensionsyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
C#C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyes infoproprietary syntaxyes infoJava
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesyesUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
FeatureBaseGBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScaleSplice Machine
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