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DBMS > Sequoiadb vs. Spark SQL vs. STSdb vs. YottaDB

System Properties Comparison Sequoiadb vs. Spark SQL vs. STSdb vs. YottaDB

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast and solid embedded Key-value store
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.sequoiadb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4yottadb.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlyottadb.com/­resources/­documentation
DeveloperSequoiadb Ltd.Apache Software FoundationSTS Soft SCYottaDB, LLC
Initial release2013201420112001
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC#C
Server operating systemsLinuxLinux
OS X
Windows
WindowsDocker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyesyes infoprimitive types and user defined types (classes)no
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.nonono
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoby using the Octo plugin
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
.NET Client APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C#
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlsimple password-based access controlnonoUsers and groups based on OS-security mechanisms

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More resources
SequoiadbSpark SQLSTSdbYottaDB
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