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DBMS > Hypertable vs. PlanetScale vs. Postgres-XL vs. StarRocks

System Properties Comparison Hypertable vs. PlanetScale vs. Postgres-XL vs. StarRocks

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStarRocks  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopScalable, distributed, serverless MySQL database platform built on top of VitessBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteplanetscale.comwww.postgres-xl.orgwww.starrocks.io
Technical documentationplanetscale.com/­docswww.postgres-xl.org/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperHypertable Inc.PlanetScaleThe Linux Foundation infosince Feb 2023
Initial release200920202014 infosince 2012, originally named StormDB2020
Current release0.9.8.11, March 201610 R1, October 20182.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMozilla public licenseOpen 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++GoCC++, Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Linux
macOS
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yes infoXML type, but no XML query functionalityno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infodistributed, parallel query executionyes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
MySQL protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxuser defined functionsuser defined functions
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesnono
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
HypertablePlanetScalePostgres-XLStarRocks
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