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DBMS > Alibaba Cloud TSDB vs. EventStoreDB vs. Spark SQL vs. Tkrzw

System Properties Comparison Alibaba Cloud TSDB vs. EventStoreDB vs. Spark SQL vs. Tkrzw

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Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceIndustrial-strength, open-source database solution built from the ground up for event sourcing.Spark SQL is a component on top of 'Spark Core' for structured data processingA 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 modelTime Series DBMSEvent StoreRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#301  Overall
#26  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.alibabacloud.com/­product/­hitsdbwww.eventstore.comspark.apache.org/­sqldbmx.net/­tkrzw
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaEvent Store LimitedApache Software FoundationMikio Hirabayashi
Initial release201220142020
Current release21.2, February 20213.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesno
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 indexesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
Supported programming languagesJavaJava
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nonoyes infousing specific database classes
User concepts infoAccess controlAccess managed on TSDB instance levelnono

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More resources
Alibaba Cloud TSDBEventStoreDBSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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