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DBMS > Hypertable vs. Lovefield vs. Pinecone

System Properties Comparison Hypertable vs. Lovefield vs. Pinecone

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonPinecone  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 HadoopEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector database
Primary database modelWide column storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegoogle.github.io/­lovefieldwww.pinecone.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperHypertable Inc.GooglePinecone Systems, Inc
Initial release200920142019
Current release0.9.8.11, March 20162.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScript
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyesString, Number, Boolean
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 SQLnoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaScriptPython
Server-side scripts infoStored proceduresnono
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
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 persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlnono

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HypertableLovefieldPinecone
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