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DBMS > EXASOL vs. GeoSpock vs. Infobright vs. Pinecone

System Properties Comparison EXASOL vs. GeoSpock vs. Infobright vs. Pinecone

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonInfobright  Xexclude from comparisonPinecone  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.exasol.comgeospock.comignitetech.com/­softwarelibrary/­infobrightdbwww.pinecone.io
Technical documentationwww.exasol.com/­resourcesdocs.pinecone.io/­docs/­overview
DeveloperExasolGeoSpockIgnite Technologies Inc.; formerly InfoBright Inc.Pinecone Systems, Inc
Initial release200020052019
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC
Server operating systemshostedLinux
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesString, 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.nononono
Secondary indexesyestemporal, categoricalno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBCADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tablefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
EXASOLGeoSpockInfobrightPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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