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DBMS > Spark SQL vs. Speedb vs. TerarkDB

System Properties Comparison Spark SQL vs. Speedb vs. TerarkDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitespark.apache.org/­sqlwww.speedb.iogithub.com/­bytedance/­terarkdb
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationSpeedbByteDance, originally Terark
Initial release201420202016
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
C++ API
Java API
Supported programming languagesJava
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlnonono
More information provided by the system vendor
Spark SQLSpeedbTerarkDB
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
Spark SQLSpeedbTerarkDB
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