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DBMS > Pinecone vs. SpatiaLite vs. Sphinx vs. TimescaleDB vs. Transwarp Hippo

System Properties Comparison Pinecone vs. SpatiaLite vs. Sphinx vs. TimescaleDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseSpatial extension of SQLiteOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelVector DBMSSpatial DBMSSearch engineTime Series DBMSVector DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.pinecone.iowww.gaia-gis.it/­fossil/­libspatialite/­indexsphinxsearch.comwww.timescale.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.pinecone.io/­docs/­overviewwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsphinxsearch.com/­docsdocs.timescale.com
DeveloperPinecone Systems, IncAlessandro FurieriSphinx Technologies Inc.Timescale
Initial release20192008200120172023
Current release5.0.0, August 20203.5.1, February 20232.15.0, May 20241.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercial
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++CC++
Server operating systemshostedserver-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesVector, Numeric and String
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.nonoyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP APIProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesPythonC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
PineconeSpatiaLiteSphinxTimescaleDBTranswarp Hippo
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