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DBMS > Hypertable vs. Pinecone vs. StarRocks

System Properties Comparison Hypertable vs. Pinecone vs. StarRocks

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPinecone  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 HadoopA managed, cloud-native vector databaseAn 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 storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.75
Rank#218  Overall
#101  Relational DBMS
Websitewww.pinecone.iowww.starrocks.io
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperHypertable Inc.Pinecone Systems, IncThe Linux Foundation infosince Feb 2023
Initial release200920192020
Current release0.9.8.11, March 20163.3, June 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoString, Number, Booleanyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP APIJDBC
MySQL protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
PythonJava
Server-side scripts infoStored proceduresnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
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.nono
User concepts infoAccess controlnoRole based access control and fine grained access rights

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More resources
HypertablePineconeStarRocks
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