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DBMS > Alibaba Cloud Table Store vs. Hypertable vs. Kinetica vs. Oracle Berkeley DB vs. Vitess

System Properties Comparison Alibaba Cloud Table Store vs. Hypertable vs. Kinetica vs. Oracle Berkeley DB vs. Vitess

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVitess  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeWide column storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlvitess.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvitess.io/­docs
DeveloperAlibabaHypertable Inc.KineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleThe Linux Foundation, PlanetScale
Initial release20162009201219942013
Current release0.9.8.11, March 20167.1, August 202118.1.40, May 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infocommercial license availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableyes infowith proprietary extensions
APIs and other access methodsHTTP APIC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsnoyes infoproprietary syntax
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor on file system levelSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoAccess rights for users and roles on table levelnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Alibaba Cloud Table StoreHypertableKineticaOracle Berkeley DBVitess
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