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DBMS > GridGain vs. LMDB vs. SpatiaLite

System Properties Comparison GridGain vs. LMDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLMDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high performant, light-weight, embedded key-value database librarySpatial extension of SQLite
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.42
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.90
Rank#123  Overall
#21  Key-value stores
Score1.50
Rank#144  Overall
#3  Spatial DBMS
Websitewww.gridgain.comwww.symas.com/­symas-embedded-database-lmdbwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.lmdb.tech/­docwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGridGain Systems, Inc.SymasAlessandro Furieri
Initial release200720112008
Current releaseGridGain 8.5.10.9.32, January 20245.0.0, August 2020
License infoCommercial or Open Sourcecommercial, open sourceOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLCC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Unix
Windows
server-less
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
nono

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More resources
GridGainLMDBSpatiaLite
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