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DBMS > EXASOL vs. Snowflake vs. TerarkDB vs. Tkrzw

System Properties Comparison EXASOL vs. Snowflake vs. TerarkDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Score0.05
Rank#380  Overall
#59  Key-value stores
Websitewww.exasol.comwww.snowflake.comgithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationwww.exasol.com/­resourcesdocs.snowflake.net/­manuals/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperExasolSnowflake Computing Inc.ByteDance, originally TerarkMikio Hirabayashi
Initial release2000201420162020
Current release0.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinux
macOS
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesno
SQL infoSupport of SQLyesyesnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesJava
Lua
Python
R
JavaScript (Node.js)
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersyesno infosimilar concept for controling cloud resourcesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationnono

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More resources
EXASOLSnowflakeTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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26 October 2023, Datanami

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26 February 2024, TechTarget

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21 February 2024, Business Wire

Exasol Reimagines In-Memory Analytics with Major Database Update
30 May 2023, Datanami

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