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DBMS > GridGain vs. InfluxDB vs. LevelDB vs. RDF4J

System Properties Comparison GridGain vs. InfluxDB vs. LevelDB vs. RDF4J

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.22
Rank#122  Overall
#23  Key-value stores
#59  Relational DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score3.38
Rank#91  Overall
#18  Key-value stores
Score0.55
Rank#219  Overall
#9  RDF stores
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewgithub.com/­google/­leveldbrdf4j.org
Technical documentationwww.gridgain.com/­docs/­latestdocs.influxdata.com/­influxdbgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdrdf4j.org/­documentation
DeveloperGridGain Systems, Inc.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2007201320112004
Current releaseGridGain 8.5.11.8.0, April 20201.22, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Illumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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.yesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsnono
More information provided by the system vendor
GridGainInfluxDBLevelDBRDF4J infoformerly known as Sesame
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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More resources
GridGainInfluxDBLevelDBRDF4J infoformerly known as Sesame
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