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DBMS > GridGain vs. InfluxDB vs. Lovefield vs. MonetDB vs. Oracle Berkeley DB

System Properties Comparison GridGain vs. InfluxDB vs. Lovefield vs. MonetDB vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsWidely used in-process key-value store
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGridGain Systems, Inc.GoogleMonetDB BVOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20072013201420041994
Current releaseGridGain 8.5.12.7.6, April 20242.1.12, February 2017Dec2023 (11.49), December 202318.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoJavaScriptCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesno
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.yesnonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.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 proceduresyes (compute grid and cache interceptors can be used instead)nonoyes, in SQL, C, Rno
Triggersyes (cache interceptors and events)noUsing read-only observersyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlynonenone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infousing MemoryDByes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsnofine grained access rights according to SQL-standardno
More information provided by the system vendor
GridGainInfluxDBLovefieldMonetDBOracle Berkeley DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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