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DBMS > atoti vs. GBase vs. SiriDB vs. Spark SQL

System Properties Comparison atoti vs. GBase vs. SiriDB vs. Spark SQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGBase  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Open Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iowww.gbase.cnsiridb.comspark.apache.org/­sql
Technical documentationdocs.atoti.iodocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamGeneral Data Technology Co., Ltd.CesbitApache Software Foundation
Initial release200420172014
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonCScala
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayes
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 indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)Standard with numerous extensionsnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HTTP APIJDBC
ODBC
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyessimple rights management via user accountsno

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More resources
atotiGBaseSiriDBSpark SQL
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