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

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

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFeatureBase  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryReal-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 ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealasql.orgwww.featurebase.comwww.gbase.cnazure.microsoft.com/­services/­synapse-analyticssplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.featurebase.comdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffMolecula and Pilosa Open Source ContributorsGeneral Data Technology Co., Ltd.MicrosoftSplice Machine
Initial release20142017200420162014
Current release2022, May 2022GBase 8a, GBase 8s, GBase 8c3.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoC, Java, PythonC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
LinuxhostedLinux
OS X
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.nonoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL queriesStandard with numerous extensionsyesyes
APIs and other access methodsJavaScript APIgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptJava
Python
C#C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLyes infoJava
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyesMulti-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 systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoyesyesAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLFeatureBaseGBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice Machine
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