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DBMS > Alibaba Cloud TSDB vs. FoundationDB vs. Hyprcubd vs. Kinetica vs. Splice Machine

System Properties Comparison Alibaba Cloud TSDB vs. FoundationDB vs. Hyprcubd vs. Kinetica vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonSplice Machine  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceOrdered key-value store. Core features are complimented by layers.Serverless Time Series DBMSFully vectorized database across both GPUs and CPUsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#301  Overall
#26  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbgithub.com/­apple/­foundationdbhyprcubd.com (offline)www.kinetica.comsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbapple.github.io/­foundationdbdocs.kinetica.comsplicemachine.com/­how-it-works
DeveloperAlibabaFoundationDBHyprcubd, Inc.KineticaSplice Machine
Initial release201320122014
Current release6.2.28, November 20207.1, August 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC, C++Java
Server operating systemshostedLinux
OS X
Windows
hostedLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsno infosome layers support typingyes infotime, int, uint, float, stringyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP RESTgRPC (https)JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlynouser defined functionsyes infoJava
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess managed on TSDB instance levelnotoken accessAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud TSDBFoundationDBHyprcubdKineticaSplice Machine
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