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DBMS > EXASOL vs. Graphite vs. Spark SQL vs. YTsaurus

System Properties Comparison EXASOL vs. Graphite vs. Spark SQL vs. YTsaurus

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGraphite  Xexclude from comparisonSpark SQL  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpark SQL is a component on top of 'Spark Core' for structured data processingYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.exasol.comgithub.com/­graphite-project/­graphite-webspark.apache.org/­sqlytsaurus.tech
Technical documentationwww.exasol.com/­resourcesgraphite.readthedocs.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmlytsaurus.tech/­docs/­en
DeveloperExasolChris DavisApache Software FoundationYandex
Initial release2000200620142023
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonScalaC++
Server operating systemsLinux
Unix
Linux
OS X
Windows
Ubuntu
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nononono
Secondary indexesyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsYQL, an SQL-based language, is supported
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
Sockets
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnonoAccess Control Lists

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More resources
EXASOLGraphiteSpark SQLYTsaurus
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