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DBMS > AlaSQL vs. Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Microsoft Azure Synapse Analytics vs. Splice Machine

System Properties Comparison AlaSQL vs. Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Microsoft Azure Synapse Analytics vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.A widely adopted Java cache with tiered storage optionsElastic, 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 DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.ehcache.orgazure.microsoft.com/­services/­synapse-analyticssplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­doc-detail/­93776.htmwww.ehcache.org/­documentationdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffAlibabaTerracotta Inc, owned by Software AGMicrosoftSplice Machine
Initial release2014200920162014
Current release3.10.0, March 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
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.noyesnono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyesyes
APIs and other access methodsJavaScript APIJDBC
ODBC
JCacheADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC#
Java
PHP
Python
JavaC#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoTransact SQLyes infoJava
Triggersyesyesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoby using Terracotta ServerSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes infoby using Terracotta ServeryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono 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-storageACIDyes infosupports JTA and can work as an XA resourceACIDACID
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 FileStorageyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AlaSQLAlibaba Cloud AnalyticDB for MySQLEhcacheMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice Machine
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
AlaSQLAlibaba Cloud AnalyticDB for MySQLEhcacheMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice Machine
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