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DBMS > Hypertable vs. Pinecone vs. Quasardb

System Properties Comparison Hypertable vs. Pinecone vs. Quasardb

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPinecone  Xexclude from comparisonQuasardb  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 databaseDistributed, high-performance timeseries database
Primary database modelWide column storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.10
Rank#341  Overall
#29  Time Series DBMS
Websitewww.pinecone.ioquasar.ai
Technical documentationdocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­master
DeveloperHypertable Inc.Pinecone Systems, Incquasardb
Initial release200920192009
Current release0.9.8.11, March 20163.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoString, Number, Booleanyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsC++ API
Thrift
RESTful HTTP APIHTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Python.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
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 datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlnoCryptographically strong user authentication and audit trail

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More resources
HypertablePineconeQuasardb
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