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DBMS > Coveo vs. GigaSpaces vs. Oracle Berkeley DB vs. SpatiaLite

System Properties Comparison Coveo vs. GigaSpaces vs. Oracle Berkeley DB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWidely used in-process key-value storeSpatial extension of SQLite
Primary database modelSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.coveo.comwww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.coveo.comdocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperCoveoGigaspaces TechnologiesOracle infooriginally developed by Sleepycat, which was acquired by OracleAlessandro Furieri
Initial release2012200019942008
Current release15.5, September 202018.1.40, May 20205.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infocommercial license availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedLinux
macOS
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoXML can be used for describing objects metadatayes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC#
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyes, event driven architectureyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersRole-based access controlnono

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More resources
CoveoGigaSpacesOracle Berkeley DBSpatiaLite
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